{"schema_version":"onlylabs.public_analysis_evidence.v1","title":"xAI analysis evidence pack","description":"Public onlylabs evidence pack for cited agent analysis: captured pages, ranked public signals, and stored web-search provenance used by the background analysis workflow.","url":"https://onlylabs.fyi/analysis/xai","json_url":"https://onlylabs.fyi/analysis/xai/evidence.json","generated_at":"2026-06-11T18:16:20.119Z","org":{"slug":"xai","name":"xAI","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/xai"},"analysis":{"url":"https://onlylabs.fyi/analysis/xai","json_url":"https://onlylabs.fyi/analysis/xai/analysis.json","generated_at":"2026-06-08T15:59:10.113+00:00"},"workflow":{"version":"synthesize-analyses","provider":null,"model":null,"agent":null,"public_pack_mode":"local-pages-and-events","live_web_fetches":false,"note":"Public evidence exports do not trigger live Exa calls; stored Exa provenance is included when analysis metadata contains it."},"stats":{"pages":28,"events":140,"web":0,"evidence":88,"signal_desks":{"hiring":59,"forks":0,"releases":1,"talking":0,"repos":0},"data_radar_lanes":{"data":5,"evals":1,"infrastructure":8,"safety":5,"product":1},"data_radar_matches":18,"stored_analysis_evidence":null,"stored_analysis_web":null,"stored_analysis_signal_desks":null,"stored_analysis_data_radar_lanes":null,"stored_analysis_data_radar_matches":null},"stored_web_provenance":null,"evidence":[{"ref":"P1","kind":"page","title":"Backend Engineer - API","date":"2026-06-11T07:04:04.497784+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/5119111007","signal_url":null,"signal_json_url":null,"text":"Job Application for Backend Engineer - API at xAI \n\nBack to jobs \nBackend Engineer - API\nPalo Alto, CA\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nABOUT THE ROLE: \n\nAs an ideal candidate you have a good understanding of how highly scalable and reliable production infrastructure is built. Most of our backend infrastructure is written in Rust. So familiarity with a compiled language such as C++, Rust, or Go is highly beneficial.\n\nRESPONSIBILITIES: \n\nBuild the xAI API that serves our models to developers worldwide\n\nOwn the end-to-end system responsible for high-throughput inference, handling billions of tokens per minute with low latency and high availability, including model serving infrastructure, request routing, SDK development, rate limiting, observability, and efficient scaling\n\nBASIC QUALIFICATIONS: \n\nExpert knowledge of either Rust or C++\n\nExperience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems\n\nKnowledge of service observability and reliability best practices\n\nExperience in operating commonly used databases such as PostgreSQL, Clickhouse, and MongoDB\n\nPREFERRED SKILLS AND EXPERIENCE: \n\nExperience with LLM inference engines and serving frameworks (e.g., SGLang, TensorRT, vLLM)\n\nExperience designing or building with agent SDKs and agent orchestration frameworks\n\nExperience with Docker, Kubernetes, and containerized applications\n\nExpert knowledge of gRPC (unary, response streaming, bi-directional st"},{"ref":"P2","kind":"page","title":"Barista","date":"2026-06-11T07:04:04.422995+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/5161695007","signal_url":null,"signal_json_url":null,"text":"Job Application for Barista at xAI \n\nBack to jobs New \nBarista\nAustin, TX\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nABOUT THE ROLE: \n\nThe barista role is a team-oriented role for individuals who are familiar with basic customer service principles and have a firm understanding of all basic food and beverage safety principles. A barista should have the ability to identify and utilize food service equipment including but not limited to, manual espresso machines, drip coffee brewers, coffee bean grinders, frozen yogurt machines, and serving utensils. Daily tasks will be focused on supporting customer orders, inquiries, and deliveries, upkeep of food service spaces. The barista position supports the mission of xAI by providing quality customer service, a welcoming atmosphere, and accurate order fulfillment to help ensure our services boost morale and productivity across the company.\n\nRESPONSIBILITIES: \n\nSet up, work, and maintain a clean and safe work station\n\nComplete daily prep tasks\n\nHelp the team meet time and quality standards set by supervisor\n\nClean and maintain departmental tools and equipment, i.e. drip coffee stations\n\nProvide good customer service\n\nInventory/order supplies as needed\n\nBASIC QUALIFICATIONS: \n\nHigh school diploma or equivalency certificate\n\n2+ years of customer service experience in a food service environment that includes coffee and beverage services\n\nMust be available for 1st shift: Monday to Friday from 8AM to 6:30PM\n\nAbility to c"},{"ref":"P3","kind":"page","title":"Logistics Specialist (Temporary) ","date":"2026-06-11T07:04:04.305787+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/5161437007","signal_url":null,"signal_json_url":null,"text":"Job Application for Logistics Specialist (Temporary) at xAI \n\nBack to jobs New \nLogistics Specialist (Temporary) \nConroe, TX; Jacksonville, FL\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nABOUT THE ROLE: \n\nWe are seeking detail-oriented and proactive Logistics Specialists for 6-month contract positions to support xAI’s data center construction, expansion, and operations in Jacksonville, Florida and Conroe, Texas . In this role, you will play a key part in the efficient movement, tracking, and management of high-value materials and equipment (servers, networking gear, power and cooling systems, and other critical infrastructure components). You will ensure timely inbound and outbound logistics while maintaining high standards for accuracy, safety, and inventory control in a fast-paced, high-growth environment.\n\nThese are hands-on contract positions ideal for candidates with strong operational logistics experience who thrive in dynamic settings and are committed to supporting xAI’s aggressive deployment timelines. Contracts may include the possibility of extension based on business needs.\n\nRESPONSIBILITIES: \n\nManage the receiving, inspection, documentation, and accurate recording of incoming shipments\n\nCoordinate outbound shipments, returns, and reverse logistics while ensuring proper packaging and compliance\n\nMaintain real-time inventory accuracy through cycle counts, audits, and system updates\n\nTrack shipments end-to-end using logistics tools and collabora"},{"ref":"P4","kind":"page","title":"Warehouse Supervisor (Temporary)","date":"2026-06-11T07:04:04.138634+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/5161447007","signal_url":null,"signal_json_url":null,"text":"Job Application for Warehouse Supervisor (Temporary) at xAI \n\nBack to jobs New \nWarehouse Supervisor (Temporary)\nConroe, TX; Jacksonville, FL\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nABOUT THE ROLE: \n\nWe are seeking an experienced and hands-on Warehouse Supervisor for a temporary assignment to lead warehouse and logistics operations in Jacksonville, Florida or Conroe, Texas. In this role, you will oversee daily warehouse activities, lead a team of logistics and material handlers, and ensure the efficient receiving, storage, staging, and distribution of high-value equipment (servers, networking gear, power and cooling systems, and other critical infrastructure). You will drive safety, accuracy, productivity, and process improvements in a fast-paced, high-growth environment. This is a temporary position ideal for a strong leader with warehouse supervision experience who can quickly establish operational excellence and support aggressive project timelines. Contracts may include the possibility of extension based on business needs.\n\nRESPONSIBILITIES: \n\nLead, coach, and supervise a team of warehouse associates, logistics specialists, and material handlers\n\nOversee all warehouse operations including receiving, inspection, put-away, picking, kitting, staging, shipping, and inventory control\n\nEnsure high inventory accuracy through cycle counts, audits, and timely system updates in ERP/WMS\n\nMonitor and optimize material flow to support construction and data cen"},{"ref":"P5","kind":"page","title":"Warehouse Manager (Temporary) ","date":"2026-06-11T07:04:04.130696+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/5161485007","signal_url":null,"signal_json_url":null,"text":"Job Application for Warehouse Manager (Temporary) at xAI \n\nBack to jobs New \nWarehouse Manager (Temporary) \nJacksonville, FL\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nABOUT THE ROLE: \n\nWe are seeking an experienced and results-driven Warehouse Manager for a temporary assignment to lead and optimize warehouse and logistics operations in Jacksonville, Florida . In this role, you will have full operational responsibility for the warehouse, including team leadership, process excellence, inventory integrity, and material flow to support aggressive construction and commissioning timelines. You will drive safety, efficiency, cost control, and continuous improvement while managing high-value, sensitive equipment in a fast-paced environment. This is a temporary leadership position ideal for a strong warehouse manager who can rapidly establish best-in-class operations and deliver results under tight deadlines. Contracts may include the possibility of extension based on business needs.\n\nRESPONSIBILITIES: \n\nLead, mentor, and develop the full warehouse team, including supervisors, logistics specialists, and material handlers\n\nOwn all warehouse operations: receiving, inspection, storage, kitting, staging, shipping, returns, and inventory management\n\nEstablish and maintain high inventory accuracy through robust cycle count programs, audits, and ERP/WMS system integrity\n\nDevelop and optimize material handling processes to ensure timely, accurate support for data center"},{"ref":"P6","kind":"page","title":"Procurement Analyst (Temporary) ","date":"2026-06-11T07:04:04.00978+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/5161492007","signal_url":null,"signal_json_url":null,"text":"Job Application for Procurement Analyst (Temporary) at xAI \n\nBack to jobs New \nProcurement Analyst (Temporary) \nJacksonville, FL\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nABOUT THE ROLE: \n\nWe are seeking a detail-oriented and analytical Procurement Analyst for a temporary assignment to support xAI’s data center construction and expansion efforts in Jacksonville, Florida . In this role, you will support the procurement team by analyzing spend, managing purchase orders, sourcing vendors, tracking deliveries, and ensuring timely acquisition of materials and services (including power/cooling equipment, servers, networking gear, and construction-related items). You will help drive cost efficiency, compliance, and supply chain visibility in a fast-paced, high-growth environment. This is a temporary position ideal for a proactive analyst with strong procurement and data skills who can deliver immediate impact on sourcing and vendor management. Contracts may include the possibility of extension based on business needs.\n\nRESPONSIBILITIES: \n\nCreate, manage, and track purchase orders, requisitions, and contracts in the procurement system\n\nConduct spend analysis, vendor evaluations, and market research to identify cost savings and sourcing opportunities\n\nSupport supplier negotiations, onboarding, and performance monitoring\n\nCollaborate with warehouse, logistics, project management, and engineering teams to ensure timely material availability\n\nMaintain accurate proc"},{"ref":"P7","kind":"page","title":"xai-org/xai-sdk-python v1.16.0","date":"2026-06-11T07:04:03.962411+00:00","date_source":null,"source_url":"https://github.com/xai-org/xai-sdk-python/releases/tag/v1.16.0","signal_url":null,"signal_json_url":null,"text":"# v1.16.0\n\nRepository: xai-org/xai-sdk-python\n\nTag: v1.16.0\n\nPublished: 2026-06-10T17:41:54Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* Add Imagine file storage & file-ID inputs to image/video generation by @Omar-V2 in https://github.com/xai-org/xai-sdk-python/pull/160\n* Add public file URLs and list filtering to the files client by @Omar-V2 in https://github.com/xai-org/xai-sdk-python/pull/161\n* Add new grok imagine models to types/model.py for editor autocomplete by @Omar-V2 in https://github.com/xai-org/xai-sdk-python/pull/162\n* Prepare to release v1.16.0 of the xAI Python SDK by @Omar-V2 in https://github.com/xai-org/xai-sdk-python/pull/164\n\n**Full Changelog**: https://github.com/xai-org/xai-sdk-python/compare/v1.15.0...v1.16.0"},{"ref":"P8","kind":"page","title":"xai-org/grok-1 repository metadata","date":"2026-06-11T03:59:08.352394+00:00","date_source":null,"source_url":"https://github.com/xai-org/grok-1","signal_url":null,"signal_json_url":null,"text":"# xai-org/grok-1\n\nDescription: Grok open release\n\nLanguage: Python\n\nLicense: Apache-2.0\n\nStars: 51684\n\nForks: 8479\n\nOpen issues: 125\n\nCreated: 2024-03-17T08:53:38Z\n\nPushed: 2024-08-30T04:17:25Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Grok-1\n\nThis repository contains JAX example code for loading and running the Grok-1 open-weights model.\n\nMake sure to download the checkpoint and place the `ckpt-0` directory in `checkpoints` - see [Downloading the weights](#downloading-the-weights)\n\nThen, run\n\n```shell\npip install -r requirements.txt\npython run.py\n```\n\nto test the code.\n\nThe script loads the checkpoint and samples from the model on a test input.\n\nDue to the large size of the model (314B parameters), a machine with enough GPU memory is required to test the model with the example code.\nThe implementation of the MoE layer in this repository is not efficient. The implementation was chosen to avoid the need for custom kernels to validate the correctness of the model.\n\n# Model Specifications\n\nGrok-1 is currently designed with the following specifications:\n\n- **Parameters:** 314B\n- **Architecture:** Mixture of 8 Experts (MoE)\n- **Experts Utilization:** 2 experts used per token\n- **Layers:** 64\n- **Attention Heads:** 48 for queries, 8 for keys/values\n- **Embedding Size:** 6,144\n- **Tokenization:** SentencePiece tokenizer with 131,072 tokens\n- **Additional Features:**\n- Rotary embeddings (RoPE)\n- Supports activation sharding and 8-bit quantization\n- **Maximum Sequence Length (context):** 8,192 tokens\n\n# Downloading the weights\n\nYou can download the weights using a torrent client and this magnet link:\n\n```\nmagnet:?xt=urn:btih:5f96d43576e3d386c9ba65b883210a393b68210e&tr=https%3A%2F%2Facademictorrents.com%2Fannounce.php&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce\n```\n\nor directly using [HuggingFace 🤗 Hub](https://huggingface.co/xai-org/grok-1):\n```\ngit clone https://github.com/xai-org/grok-1.git && cd grok-1\npip install huggingface_hub[hf_transfer]\nhuggingface-cli download xai-org/grok-1 --repo-type model --include ckpt-0/* --local-dir checkpoints --local-dir-use-symlinks False\n```\n\n# License\n\nThe cod"},{"ref":"P9","kind":"page","title":"xai-org/xai-cookbook repository metadata","date":"2026-06-11T03:59:07.502774+00:00","date_source":null,"source_url":"https://github.com/xai-org/xai-cookbook","signal_url":null,"signal_json_url":null,"text":"# xai-org/xai-cookbook\n\nDescription: A collection of pragmatic, real-world examples guiding you from basic to advanced use of xAI's Grok APIs.\n\nLanguage: TypeScript\n\nLicense: NOASSERTION\n\nStars: 443\n\nForks: 166\n\nOpen issues: 24\n\nCreated: 2025-02-23T19:47:34Z\n\nPushed: 2026-04-16T15:38:38Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# xAI Cookbooks\n\nA collection of pragmatic, real-world examples guiding you from basic to advanced use of xAI's Grok APIs for practical, powerful applications.\n\n## How to Run the Notebooks Yourself\n\nBelow are steps to run these notebooks locally with your own API key, which you can obtain over at the [xAI Console](https://console.x.ai). If you’d rather not run them, all notebook cells are preserved with outputs intact, so you can follow along just by reading.\n\n### Prerequisites\n- Install [uv](https://github.com/astral-sh/uv) for managing Python dependencies.\n\n### Setup\n1. Clone this repo:\n```bash\ngit clone https://github.com/xai-org/xai-cookbook.git\ncd xai-cookbook\n\n2. Install dependencies:\n```bash\nuv sync\n\n3. Install pre-commit hooks:\n```bash\nuv run pre-commit install\n\n4. Configure git lfs (install it if you haven't already):\n```bash\ngit lfs install\n\n5. Copy the `.env.example` file and rename it to `.env` and add your API key (the repo is set-up to ignore .env so that it won't be committed).:\n```bash\ncp .env.example .env\n\n6. Launch Jupyter in the notebook directory and run the desired notebook:\n```bash\nuv run jupyter notebook examples/\n\nAlternatively, use VS Code’s notebook extension:\n- Open the notebook in VS Code.\n- Set the Python interpreter to `.venv` (created by `uv sync`) via the interpreter selector.\n- Run directly in VS Code.\n\n### API Key Security\n\n**Never hardcode API keys** (e.g., XAI_API_KEY=my-key), even during development. This risks accidental commits. Instead, use the .env file. In your notebook, load the key like this:\n\n```python\nfrom dotenv import load_dotenv\nimport os\n\nload_dotenv()\nXAI_API_KEY = os.getenv(\"XAI_API_KEY\")\n```\n\n### Git LFS for Large Files\nThis repo uses Git LFS to track large data files (e.g., images, large JSON) used by some notebooks. To work with these files:\n\nInstall Git LFS: \n```bash \ng"},{"ref":"P10","kind":"page","title":"xai-org/grok-prompts repository metadata","date":"2026-06-11T03:59:07.187857+00:00","date_source":null,"source_url":"https://github.com/xai-org/grok-prompts","signal_url":null,"signal_json_url":null,"text":"# xai-org/grok-prompts\n\nDescription: Prompts for our Grok chat assistant and the `@grok` bot on X.\n\nLanguage: Jinja\n\nLicense: AGPL-3.0\n\nStars: 4154\n\nForks: 463\n\nOpen issues: 87\n\nCreated: 2025-05-15T20:58:16Z\n\nPushed: 2025-11-17T20:40:23Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# Grok prompts\n\nWe are regularly updating this repository with the system prompts that we use for the Grok chat assistant and various product features across X and grok.com.\n\n## Prompts\n\nThe following prompts are made public via this repository:\n\n* [`grok4_system_turn_prompt_v8.j2`](grok4_system_turn_prompt_v8.j2) - The system prompt for the Grok 4 chat assistant on grok.com and X.\n* [`grok3_official0330_p1.j2`](grok3_official0330_p1.j2) - The system prompt for the Grok 3 chat assistant on grok.com and X.\n* [`grok_analyze_button.j2`](grok_analyze_button.j2) - Used for the \"Grok Explain\" feature on X.\n* [`ask_grok_system_prompt.j2`](ask_grok_system_prompt.j2) - Prompt for the Grok bot on X.\n* [`grok_4_code_rc1_safety_prompt.txt`](grok_4_code_rc1_safety_prompt.txt) - Injected system prompt prefix for `grok-code-fast-1` model on the xAI API.\n* [`grok_4_mini_system_prompt.txt`](grok_4_mini_system_prompt.txt) - Injected system prompt prefix for `grok-4-fast` model on the xAI API.\n* [`grok_4_safety_prompt.txt`](grok_4_safety_prompt.txt) - Injected system prompt prefix for `grok-4-0709` model on the xAI API.\n* [`grok4p1_non_thinking_no_tool_system_turn_prompt.j2`](grok4p1_non_thinking_no_tool_system_turn_prompt.j2) - The system prompt for grok 4.1 non thinking no tool\n* [`grok4p1_non_thinking_system_turn_prompt.j2`](grok4p1_non_thinking_system_turn_prompt.j2) - The system prompt for grok 4.1 non thinking with tool\n* [`grok4p1_thinking_system_turn_prompt_v2`](grok4p1_thinking_system_turn_prompt_v2.j2) - The system prompt for grok 4.1 thinking no tool\n\n## License\nThis project is licensed under the GNU Affero General Public License v3.0 - see the [LICENSE](LICENSE) file for details."},{"ref":"P11","kind":"page","title":"xai-org/xai-proto repository metadata","date":"2026-06-11T03:59:07.123003+00:00","date_source":null,"source_url":"https://github.com/xai-org/xai-proto","signal_url":null,"signal_json_url":null,"text":"# xai-org/xai-proto\n\nDescription: Public protobuf definitions for xAI's gRPC APIs\n\nLicense: Apache-2.0\n\nStars: 122\n\nForks: 69\n\nOpen issues: 17\n\nCreated: 2025-06-11T19:51:20Z\n\nPushed: 2026-06-10T17:05:15Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# xAI API Protobuf Definitions\n\nThis repository hosts the public Protocol Buffer (protobuf) definitions for xAI's gRPC-based APIs. These protobuf files define the service interfaces and message structures compatible with xAI's gRPC servers, enabling developers to generate client SDKs in any language supported by the protobuf and gRPC ecosystems. xAI provides an official SDK for [Python](https://github.com/xai-org/xai-sdk-python), which is built on top of these protobuf definitions.\n\n## Code Generation from proto definitions\n\nYou have multiple options for generating code from these `.proto` files, depending on your preferences and tech stack. While we describe using the [Buf CLI](https://buf.build/product/cli) for a streamlined workflow with support for linting and remote plugins, it is **not a requirement**. You are free to use `protoc` directly or leverage language-specific tools like `grpcio-tools` for Python, or any other compatible toolset. The choice is entirely up to you. The instructions below include guidance for using Buf, but alternative methods are equally valid.\n\n### Code Generation with Buf CLI\n\n#### Prerequisites\n\n- Install the buf cli : Follow the [official installation guide](https://buf.build/docs/cli/installation/).\n\nThe `buf.gen.yaml` file includes plugins for generating Python code, as used in xAI's official SDK. However, you are free to modify `buf.gen.yaml` to include plugins for other languages or frameworks that suit your tech stack, enabling the creation of custom clients or SDKs tailored to your needs. To generate code using the provided configuration, run:\n\n```bash\nbuf generate\n```\n\nThis command will:\n- Remove previously generated files (due to `clean: true` in `buf.gen.yaml`).\n- Generate Python code in the `gen/python` directory, using plugins for Python (`protocolbuffers/python`, `grpc/python`, `protocolbuffers/pyi`).\n- Can be customized by editing `buf.gen.yaml` to support addit"},{"ref":"P12","kind":"page","title":"xai-org/xai-sdk-python repository metadata","date":"2026-06-11T03:59:07.016091+00:00","date_source":null,"source_url":"https://github.com/xai-org/xai-sdk-python","signal_url":null,"signal_json_url":null,"text":"# xai-org/xai-sdk-python\n\nDescription: The official Python SDK for the xAI API\n\nLanguage: Python\n\nLicense: Apache-2.0\n\nStars: 475\n\nForks: 124\n\nOpen issues: 18\n\nCreated: 2025-06-09T22:19:19Z\n\nPushed: 2026-06-10T17:15:07Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n<div align=\"center\">\n<img src=\"https://avatars.githubusercontent.com/u/130314967?s=200&v=4\" alt=\"xAI Logo\" width=\"100\" />\n<h1>xAI Python SDK</h1>\n<p>The official Python SDK for xAI's APIs</p>\n<a href=\"https://pypi.org/project/xai-sdk\">\n<img src=\"https://img.shields.io/pypi/v/xai-sdk\" alt=\"PyPI Version\" />\n</a>\n<a href=\"\">\n<img src=\"https://img.shields.io/pypi/l/xai-sdk\" alt=\"License\" />\n</a>\n<a href=\"\">\n<img src=\"https://img.shields.io/pypi/pyversions/xai-sdk\" alt=\"Python Version\" />\n</a>\n</div>\n\n<br>\n\nThe xAI Python SDK is a gRPC-based Python library for interacting with xAI's APIs. Built for Python 3.10 and above, it offers both **synchronous** and **asynchronous** clients.\n\nWhether you're generating text, images, videos, or structured outputs, the xAI SDK is designed to be intuitive, robust, and developer-friendly.\n\n## Documentation\n\nComprehensive documentation is available at [docs.x.ai](https://docs.x.ai). Explore detailed guides, API references, and tutorials to get the most out of the xAI SDK.\n\n## Installation\n\nInstall from PyPI with pip.\n\n```bash\npip install xai-sdk\n```\n\nAlternatively you can also use [uv](https://docs.astral.sh/uv/)\n\n```bash\nuv add xai-sdk\n```\n\n### Requirements\nPython 3.10 or higher is required to use the xAI SDK.\n\n## Usage\n\nThe xAI SDK supports both synchronous (`xai_sdk.Client`) and asynchronous (`xai_sdk.AsyncClient`) clients. For a complete set of examples demonstrating the SDK's capabilities, including authentication, chat, image generation, video generation, function calling, and more, refer to the [examples folder](/examples).\n\n### Client Instantiation\n\nTo use the xAI SDK, you need to instantiate either a synchronous or asynchronous client. By default, the SDK looks for an environment variable named `XAI_API_KEY` for authentication. If this variable is set, you can instantiate the clients without explicitly passing the API key:\n\n```python\nfrom xai_sdk import C"},{"ref":"P13","kind":"page","title":"xai-org/xai-sdk-python v1.12.2","date":"2026-06-11T03:47:26.644556+00:00","date_source":null,"source_url":"https://github.com/xai-org/xai-sdk-python/releases/tag/v1.12.2","signal_url":null,"signal_json_url":null,"text":"# v1.12.2\n\nRepository: xai-org/xai-sdk-python\n\nTag: v1.12.2\n\nPublished: 2026-05-07T00:07:20Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* Add none and medium reasoning effort levels by @shawnthapa in https://github.com/xai-org/xai-sdk-python/pull/139\n* Bump version from 1.12.1 to 1.12.2 by @shawnthapa in https://github.com/xai-org/xai-sdk-python/pull/140\n\n**Full Changelog**: https://github.com/xai-org/xai-sdk-python/compare/v1.12.1...v1.12.2"},{"ref":"P14","kind":"page","title":"xai-org/xai-proto v1.0.0","date":"2026-06-11T03:47:26.491278+00:00","date_source":null,"source_url":"https://github.com/xai-org/xai-proto/releases/tag/v1.0.0","signal_url":null,"signal_json_url":null,"text":"# v1.0.0\n\nRepository: xai-org/xai-proto\n\nTag: v1.0.0\n\nPublished: 2025-06-30T15:26:04Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* Initial `v1.0.0` release of xAI proto definitions\n* Add `reasoning_content` field to Message proto by @Omar-V2 in https://github.com/xai-org/xai-proto/pull/2\n* Add new parameters to X source for use with Live Search API by @Omar-V2 in https://github.com/xai-org/xai-proto/pull/3\n\n## New Contributors\n* @avixai made their first contribution in https://github.com/xai-org/xai-proto/pull/1\n* @Omar-V2 made their first contribution in https://github.com/xai-org/xai-proto/pull/2\n\n**Full Changelog**: https://github.com/xai-org/xai-proto/commits/v1.0.0"},{"ref":"P15","kind":"page","title":"xai-org/xai-sdk-python v1.12.1","date":"2026-06-11T03:47:26.461625+00:00","date_source":null,"source_url":"https://github.com/xai-org/xai-sdk-python/releases/tag/v1.12.1","signal_url":null,"signal_json_url":null,"text":"# v1.12.1\n\nRepository: xai-org/xai-sdk-python\n\nTag: v1.12.1\n\nPublished: 2026-04-30T22:35:52Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* Update the CHANGELOG with missing entries by @Omar-V2 in https://github.com/xai-org/xai-sdk-python/pull/135\n* Add grok-4.3 to ChatModel by @shawnthapa in https://github.com/xai-org/xai-sdk-python/pull/137\n* Bump version from 1.12.0 to 1.12.1 by @shawnthapa in https://github.com/xai-org/xai-sdk-python/pull/138\n\n**Full Changelog**: https://github.com/xai-org/xai-sdk-python/compare/v1.12.0...v1.12.1"},{"ref":"P16","kind":"page","title":"xai-org/xai-sdk-python v1.13.0","date":"2026-06-11T03:47:26.230017+00:00","date_source":null,"source_url":"https://github.com/xai-org/xai-sdk-python/releases/tag/v1.13.0","signal_url":null,"signal_json_url":null,"text":"# v1.13.0\n\nRepository: xai-org/xai-sdk-python\n\nTag: v1.13.0\n\nPublished: 2026-05-16T18:00:46Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* feat: add prepare_extension() for batch video extension by @double-di in https://github.com/xai-org/xai-sdk-python/pull/141\n\n**Full Changelog**: https://github.com/xai-org/xai-sdk-python/compare/v1.12.2...v1.13.0"},{"ref":"P17","kind":"page","title":"xai-org/xai-sdk-python v1.14.0","date":"2026-06-11T03:47:26.219372+00:00","date_source":null,"source_url":"https://github.com/xai-org/xai-sdk-python/releases/tag/v1.14.0","signal_url":null,"signal_json_url":null,"text":"# v1.14.0\n\nRepository: xai-org/xai-sdk-python\n\nTag: v1.14.0\n\nPublished: 2026-05-27T05:15:34Z\n\nPrerelease: no\n\nRelease notes:\n## What's Changed\n* Add enable_image_search to web_search and SERVER_SIDE_TOOL_IMAGE_SEARCH enum by @ushiromiya-lion in https://github.com/xai-org/xai-sdk-python/pull/152\n* Bump version to 1.14.0 by @ushiromiya-lion in https://github.com/xai-org/xai-sdk-python/pull/153\n\n## New Contributors\n* @ushiromiya-lion made their first contribution in https://github.com/xai-org/xai-sdk-python/pull/152\n\n**Full Changelog**: https://github.com/xai-org/xai-sdk-python/compare/v1.13.0...v1.14.0"},{"ref":"P18","kind":"page","title":"xai-org/grok-1 model card","date":"2026-06-11T03:27:50.854357+00:00","date_source":null,"source_url":"https://huggingface.co/xai-org/grok-1/raw/main/README.md","signal_url":null,"signal_json_url":null,"text":"---\nlicense: apache-2.0\npipeline_tag: text-generation\nlibrary_name: grok\ntags:\n- grok-1\n---\n# Grok-1\n\nThis repository contains the weights of the Grok-1 open-weights model. You can find the code in the [GitHub Repository](https://github.com/xai-org/grok-1/tree/main).\n\n# Download instruction\nClone the repo & download the `int8` checkpoint to the `checkpoints` directory by executing this command in the repo root directory:\n\n```shell\ngit clone https://github.com/xai-org/grok-1.git && cd grok-1\npip install huggingface_hub[hf_transfer]\nhuggingface-cli download xai-org/grok-1 --repo-type model --include ckpt-0/* --local-dir checkpoints --local-dir-use-symlinks False\n```\n\nThen, you can run:\n\n```shell\npip install -r requirements.txt\npython run.py\n```\n\nYou should be seeing output from the language model.\n\nDue to the large size of the model (314B parameters), a multi-GPU machine is required to test the model with the example code.\n\np.s. we're hiring: https://x.ai/careers"},{"ref":"P19","kind":"page","title":"xai-org/x-algorithm repository metadata","date":"2026-06-11T03:02:47.113091+00:00","date_source":null,"source_url":"https://github.com/xai-org/x-algorithm","signal_url":null,"signal_json_url":null,"text":"# xai-org/x-algorithm\n\nDescription: Algorithm powering the For You feed on X\n\nLanguage: Rust\n\nLicense: Apache-2.0\n\nStars: 26131\n\nForks: 4499\n\nOpen issues: 0\n\nCreated: 2026-01-19T23:12:35Z\n\nPushed: 2026-05-15T21:55:27Z\n\nDefault branch: main\n\nFork: no\n\nArchived: no\n\nREADME:\n# X For You Feed Algorithm\n\nThis repository contains the core recommendation system powering the \"For You\" feed on X. It combines in-network content (from accounts you follow) with out-of-network content (discovered through ML-based retrieval) and ranks everything using a Grok-based transformer model.\n\n> **Note:** The transformer implementation is ported from the [Grok-1 open source release](https://github.com/xai-org/grok-1) by xAI, adapted for recommendation system use cases.\n\n## Table of Contents\n\n- [Updates — May 15th, 2026](#updates--may-15th-2026)\n- [Overview](#overview)\n- [System Architecture](#system-architecture)\n- [Components](#components)\n- [Home Mixer](#home-mixer)\n- [Thunder](#thunder)\n- [Phoenix](#phoenix)\n- [Candidate Pipeline](#candidate-pipeline)\n- [How It Works](#how-it-works)\n- [Pipeline Stages](#pipeline-stages)\n- [Scoring and Ranking](#scoring-and-ranking)\n- [Filtering](#filtering)\n- [Key Design Decisions](#key-design-decisions)\n- [License](#license)\n\n---\n\n## Updates — May 15th, 2026\n\nThis release updates the For You algorithm code, including a runnable end-to-end inference pipeline alongside new components for content understanding, ads, and candidate sourcing.\n\n1. **End-to-end inference pipeline:** A new [`phoenix/run_pipeline.py`](phoenix/run_pipeline.py) replaces the separate `run_ranker.py` and `run_retrieval.py` scripts with a single entry point that runs **retrieval → ranking** from exported checkpoints, mirroring how the two stages are composed in production.\n\n2. **Pre-trained model artifacts:** A pre-trained mini Phoenix model (256-dim embeddings, 4 attention heads, 2 transformer layers) is now packaged as a ~3 GB archive distributed via Git LFS, enabling out-of-the-box inference without training your own model first.\n\n3. **Grox content-understanding pipeline:** A new [`grox/`](grox/) service is included, providing classifiers, embedders, and a task-execution engin"},{"ref":"P20","kind":"page","title":"Detection & Response Engineer","date":"2026-06-11T03:00:54.459894+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/4559148007","signal_url":null,"signal_json_url":null,"text":"Job Application for Detection & Response Engineer at xAI \n\nBack to jobs \nDetection & Response Engineer\nPalo Alto, CA\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nABOUT THE ROLE:\n\nWe are seeking a skilled and proactive Detection & Response Engineer to join our security team. In this critical role, you will be responsible for detecting, investigating, and responding to security incidents across our cloud-native and AI-focused infrastructure. You will play a key part in safeguarding our innovative technologies and sensitive data.\n\nRESPONSIBILITIES:\n\nMonitor and analyze security alerts and logs to identify potential threats and anomalies\n\nDevelop, implement, and maintain detection rules and correlation logic in our SIEM platform\n\nConduct thorough investigations of security incidents, performing root cause analysis and impact assessments\n\nLead incident response efforts, coordinating with relevant teams to contain and mitigate threats\n\nCreate and maintain incident response playbooks and runbooks\n\nPerform regular threat hunting activities to proactively identify potential security risks\n\nDevelop and refine metrics and reporting to track the effectiveness of detection and response capabilities\n\nCollaborate with other security teams to improve overall security posture and incident handling processes\n\nStay current with emerging threats, attack techniques, and defensive strategies in the cloud-native and AI domains\n\nBASIC QUALIFICATIONS: \n\nBachelor's degree in Comput"},{"ref":"P21","kind":"page","title":"Space Science Tutor","date":"2026-06-11T03:00:54.455891+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/4925830007","signal_url":null,"signal_json_url":null,"text":"Job Application for Space Science Tutor at xAI \n\nBack to jobs \nSpace Science Tutor\nRemote\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nABOUT THE ROLE: \n\nAs an AI Tutor - Space Science Specialist at xAI, you will be instrumental in enhancing our cutting-edge AI technologies by providing high-quality input and labels using specialized software. You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced space science fields to drive significant improvements in model performance. This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions—tasks with which you must be comfortable and eager to engage.\n\nThis position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial.\n\nThe AI Tutor - Space Science Specialist role is a remote position. We prefer candidates available for full-time employment, but exceptional applicants seeking part-time opportunities will also be considered (please see the bottom of this job description for more details). \n\nRESPONSIBILITIES: \n\nUse proprietary software applications to provide input/labels on defined projects.\n\nSupport and ensure the delivery of high-quality curated "},{"ref":"P22","kind":"page","title":"Member of Technical Staff - Inference","date":"2026-06-11T03:00:54.451862+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/4533894007","signal_url":null,"signal_json_url":null,"text":"Job Application for Member of Technical Staff - Inference at xAI \n\nBack to jobs \nMember of Technical Staff - Inference\nPalo Alto, CA\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nAbout the Role:\n\nWe are building the high-performance inference platform that serves Grok to millions of users every day with lightning speed and perfect reliability.\n\nAs a Member of Technical Staff - Inference, you will design and optimize large-scale model serving systems end-to-end. You will own everything from distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) to deep low-level optimizations (GPU kernels, quantization, speculative decoding, tail latency).\n\nThis is a high-impact role where your work directly determines how fast and reliably users interact with Grok at massive scale\n\nResponsibilities: \n\nArchitect and implement scalable distributed infrastructure for model serving (load balancing, auto-scaling, batch scheduling, global KV cache).\n\nOptimize latency and throughput of model inference under real production workloads.\n\nBuild reliable, high-concurrency serving systems that serve billions of users with 100% uptime, 0% error rate, and excellent tail latency.\n\nBenchmark, fine-tune, and accelerate inference engines (including low-level GPU kernel work and code generation).\n\nDevelop custom tools to trace, replay, and fix issues across the full stack — from orchestration down to GPU kernels.\n\nCreate robust CI/CD infrastructure for "},{"ref":"P23","kind":"page","title":"Member of Technical Staff - Pre-Training","date":"2026-06-11T03:00:54.195455+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/4378344007","signal_url":null,"signal_json_url":null,"text":"Job Application for Member of Technical Staff - Pre-Training at xAI \n\nBack to jobs \nMember of Technical Staff - Pre-Training\nPalo Alto, CA\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nResponsibilities\n\nTraining trillion parameter neural networks at scale, as well as a variety of smaller specialized models.\n\nRapidly implementing the latest state-of-the-art methods from the deep learning literature.\n\nInnovating new ideas for pretraining and new scaling paradigm.\n\nRequired Qualifications \n\nStrong engineering skills with passion on model-hardware co-design.\n\nExpert in ML and large model scaling, familiar with all kinds of scaling laws.\n\nFamiliar with distributed training, multi-GPU neural network training and experience on optimizing ML training efficiency.\n\nAnnual Salary Range\n\n$180,000 - $440,000 USD\n\nBenefits \n\nBase salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.\n\nxAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice . \n\nCreate a Job Alert\nInterested in building your career at xAI? Get future opportunities sent straight to your email.\nCreate alert \n\nApply for this job\n\n*\n\nindicates a required field\n\nQuick Apply with MyGreenhouse \n\nFirst Name * \n\nLast Name * \n\nEmail * \n\nPhone Country * \n"},{"ref":"P24","kind":"page","title":"Member of Technical Staff - RL Infrastructure","date":"2026-06-11T03:00:54.130206+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/4715499007","signal_url":null,"signal_json_url":null,"text":"Job Application for Member of Technical Staff - RL Infrastructure at xAI \n\nBack to jobs \nMember of Technical Staff - RL Infrastructure\nPalo Alto, CA\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nABOUT THE ROLE:\n\nxAI is seeking experienced software engineers to create robust data pipelines, comprehensive evaluations for benchmarking LLMs, and automation frameworks to increase the productivity of researchers and engineers.\n\nTypical problems you will deal with include the following:\n\nWe have a new agentic model capability that we’d like to improve. How do we design an efficient and robust environment for the agent to perform actions in?\n\nEvaluations and observability are a core part of knowing what we need to improve in our models. What new features can we add into our evaluation framework to ease the workflow of researchers & engineers and increase observability?\n\nA new open-source evaluation dataset has been released and researchers would like to track our models performance on it. How should we onboard it into our internal evaluation framework?\n\nDatasets have been collected that require complex pre-processing to prepare it for large-scale RL training. How do we standardize our preprocessing pipelines to minimize dataset onboarding time?\n\nA researcher on the team has an idea for how to augment a dataset to produce additional training data. How should we go about creating the data augmentation pipeline?\n\nRESPONSIBILITIES:\n\nCreating and maintaining frameworks "},{"ref":"P25","kind":"page","title":"Facilities Operations Technician","date":"2026-06-11T03:00:54.086675+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/4538639007","signal_url":null,"signal_json_url":null,"text":"Job Application for Facilities Operations Technician at xAI \n\nBack to jobs \nFacilities Operations Technician\nMemphis, TN; Southaven, MS\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nABOUT THE ROLE: \n\nAs a Facilities Operations Technician at xAI, you'll dive in, operating and maintaining the critical facility systems that power our supercomputing data centers. Working hands-on with MEP systems, you’ll tackle maintenance, operations, and repairs, ensuring peak performance and reliability. Expect to troubleshoot complex issues, streamline processes, and collaborate with teams to keep our infrastructure running smoothly, directly supporting xAI’s mission to accelerate human scientific discovery through AI. \n\nThis role includes the following positions, each with increasing responsibility: \n\nFacilities Operations Technician : Independently operate and maintain critical mechanical, electrical, and plumbing (MEP) systems in supercomputing data centers, ensuring high reliability and performance through hands-on maintenance, troubleshooting, and process optimization. \n\nSr Facilities Operations Technician : Perform advanced maintenance and troubleshooting of critical data center systems like HVAC, power, and environmental controls, while mentoring junior technicians to ensure operational reliability. \n\nFacilities Operations Lead : Oversee the maintenance and optimization of critical data center infrastructure, including power, cooling, and environmental systems, while"},{"ref":"P26","kind":"page","title":"Front Desk Ambassador","date":"2026-06-11T03:00:53.79579+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/4521317007","signal_url":null,"signal_json_url":null,"text":"Job Application for Front Desk Ambassador at xAI \n\nBack to jobs \nFront Desk Ambassador\nMemphis, TN\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nAbout the Role \n\nAs a Front Desk Ambassador at xAI’s Memphis facility, you'll champion security by managing site access with a professional, engaging presence. Reporting to the Security Ops Lead, you’ll greet visitors, ensure only authorized personnel enter, and tackle access control challenges with a bias for action. Expect to uphold trust, maintain high standards, and keep operations secure to support xAI’s mission of accelerating human scientific discovery through AI. \n\nThis is a full-time in-person role based in Memphis, Tennessee, with minimal travel required. \n\nResponsibilities \n\nWelcome and greet Employees, Contractors, and Guests with a positive attitude. \n\nEnsure only authorized personnel enter the site. \n\nAct as a liaison between hosts and new hires/site visitors \n\nMonitor access control, visitor management, and fire alarm systems. \n\nFacilitate the check-in and check-out process with site visitors. \n\nOversee the ID badge return process. \n\nManage additional front desk duties as the position evolves. \n\nAbility to work for extended periods of time standing, when needed. \n\nAbility to work evenings and weekends as needed. \n\nPosition is subject to pre-employment drug screen and random drug and alcohol testing. \n\nPersonal integrity is crucial. This position is expected to maintain operational security and safegu"},{"ref":"P27","kind":"page","title":"Application Security Engineer","date":"2026-06-11T03:00:53.599162+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/4559147007","signal_url":null,"signal_json_url":null,"text":"Job Application for Application Security Engineer at xAI \n\nBack to jobs \nApplication Security Engineer\nPalo Alto, CA\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nABOUT THE ROLE: \n\nWe are seeking a skilled and innovative Application Security Engineer to join our technology-driven company. In this role, you will be responsible for ensuring the security and integrity of our cloud-native applications and systems throughout the software development lifecycle, with a particular focus on code security, CI/CD pipelines, and emerging AI technologies.\n\nRESPONSIBILITIES: \n\nConduct in-depth code reviews and static analysis to identify and mitigate security vulnerabilities in our applications\n\nDesign and implement secure coding guidelines and best practices for development teams\n\nCollaborate closely with development teams to integrate security practices throughout the CI/CD pipeline\n\nPerform threat modeling and risk assessments for applications, developing mitigation strategies for potential risks\n\nManage vulnerability tracking and remediation efforts, providing guidance to development teams\n\nSupport incident response activities related to application security\n\nStay current on emerging security threats and trends in cloud-native technologies and AI, continuously enhancing our security measures\n\nEvaluate and secure software supply chains, including producing and maintaining Software Bills of Materials (SBOMs)\n\nAddress security concerns specific to AI and machine learnin"},{"ref":"P28","kind":"page","title":"Mobile iOS Engineer","date":"2026-06-11T03:00:53.471275+00:00","date_source":null,"source_url":"https://job-boards.greenhouse.io/xai/jobs/4985386007","signal_url":null,"signal_json_url":null,"text":"Job Application for Mobile iOS Engineer at xAI \n\nBack to jobs \nMobile iOS Engineer\nNew York, NY; Palo Alto, CA; Remote\n\nApply \nABOUT xAI \n\nxAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. \n\nABOUT THE ROLE: \n\nWe’re seeking an exceptional iOS engineer to join a small, high-impact team dedicated to creating the world’s most valuable AI application, judged by the impact it delivers to users. You’ll shape cutting-edge mobile experiences, blending technical mastery with product brilliance. \n\nRESPONSIBILITIES: \n\nDream up and craft delightful, intuitive user experiences that redefine how people interact with AI on mobile.\n\nObsess over every pixel, animation, and interaction, ensuring the experience feels magical and seamless.\n\nBuild blazing-fast, highly performant systems where every millisecond counts.\n\nDrive technical and product decisions, collaborating with AI researchers and engineers to deploy state-of-the-art models globally.\n\nBASIC QUALIFICATIONS:\n\nExpert in Swift, with deep knowledge of UIKit and SwiftUI.\n\nProficient in performance optimization—memory, CPU, GPU—using low-level tools to deliver blazing-fast systems.\n\nExperienced in designing and shipping intuitive, pixel-perfect mobile UIs that redefine how users interact with AI.\n\nSkilled in concurrency and reactive programming (Combine) for responsive, real-time apps.\n\nBuilt high-throughput 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occurred_at=2026-06-10T22:28:15+00:00 · url=https://job-boards.greenhouse.io/xai/jobs/5080521007 · raw={\"location\":\"Austin, TX\",\"ats\":\"greenhouse\"}"},{"ref":"E6","kind":"event","title":"Porter","date":"2026-06-10T22:28:12+00:00","date_source":"greenhouse.updated_at","source_url":"https://job-boards.greenhouse.io/xai/jobs/5149405007","signal_url":"https://onlylabs.fyi/signals/40650908-ac98-493a-8fd7-d3084a5ddcc4","signal_json_url":"https://onlylabs.fyi/signals/40650908-ac98-493a-8fd7-d3084a5ddcc4/signal.json","text":"job_opened · Porter · signal_desk=hiring · occurred_at=2026-06-10T22:28:12+00:00 · url=https://job-boards.greenhouse.io/xai/jobs/5149405007 · raw={\"location\":\"Memphis, TN\",\"ats\":\"greenhouse\"}"},{"ref":"E7","kind":"event","title":"Porter - Night 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signal_desk=releases · occurred_at=2026-06-10T17:41:54+00:00 · url=https://github.com/xai-org/xai-sdk-python/releases/tag/v1.16.0 · raw={\"repo\":\"xai-org/xai-sdk-python\"}"},{"ref":"E12","kind":"event","title":"Exceptional Software Engineer","date":"2026-06-10T16:49:17+00:00","date_source":"greenhouse.updated_at","source_url":"https://job-boards.greenhouse.io/xai/jobs/4956028007","signal_url":"https://onlylabs.fyi/signals/5a7334dc-3499-4968-bc44-b21dd509cc52","signal_json_url":"https://onlylabs.fyi/signals/5a7334dc-3499-4968-bc44-b21dd509cc52/signal.json","text":"job_opened · Exceptional Software Engineer · signal_desk=hiring · occurred_at=2026-06-10T16:49:17+00:00 · url=https://job-boards.greenhouse.io/xai/jobs/4956028007 · raw={\"location\":\"Austin, TX; New York, NY; Palo Alto, CA; Seattle, WA\",\"ats\":\"greenhouse\"}"},{"ref":"E13","kind":"event","title":"Member of Technical Staff - 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signal_desk=hiring · occurred_at=2026-06-10T16:49:17+00:00 · url=https://job-boards.greenhouse.io/xai/jobs/4925832007 · raw={\"location\":\"Remote\",\"ats\":\"greenhouse\"}"},{"ref":"E16","kind":"event","title":"Member of Technical Staff - X Money","date":"2026-06-10T16:49:17+00:00","date_source":"greenhouse.updated_at","source_url":"https://job-boards.greenhouse.io/xai/jobs/5007310007","signal_url":"https://onlylabs.fyi/signals/c0708af5-29ee-4663-9a75-932fe919be81","signal_json_url":"https://onlylabs.fyi/signals/c0708af5-29ee-4663-9a75-932fe919be81/signal.json","text":"job_opened · Member of Technical Staff - X Money · signal_desk=hiring · occurred_at=2026-06-10T16:49:17+00:00 · url=https://job-boards.greenhouse.io/xai/jobs/5007310007 · raw={\"location\":\"Tokyo, JP\",\"ats\":\"greenhouse\"}"},{"ref":"E17","kind":"event","title":"Network Engineer - 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signal_desk=hiring · occurred_at=2026-06-10T16:49:17+00:00 · url=https://job-boards.greenhouse.io/xai/jobs/4970473007 · raw={\"location\":\"Tokyo, JP\",\"ats\":\"greenhouse\"}"},{"ref":"E19","kind":"event","title":"Client Partner - Ecommerce & Digital Native","date":"2026-06-10T16:49:17+00:00","date_source":"greenhouse.updated_at","source_url":"https://job-boards.greenhouse.io/xai/jobs/4990853007","signal_url":"https://onlylabs.fyi/signals/598bec31-cb20-498e-9f09-9572ebcb9b37","signal_json_url":"https://onlylabs.fyi/signals/598bec31-cb20-498e-9f09-9572ebcb9b37/signal.json","text":"job_opened · Client Partner - Ecommerce & Digital Native · signal_desk=hiring · occurred_at=2026-06-10T16:49:17+00:00 · url=https://job-boards.greenhouse.io/xai/jobs/4990853007 · raw={\"location\":\"Singapore, SG\",\"ats\":\"greenhouse\"}"},{"ref":"E20","kind":"event","title":"Commercial Counsel - Data 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