Jobs at xAI

Build and own fullstack web features with a frontend emphasis, from design through launch. Architect scalable, low-latency systems, optimize performance and security, implement testing/monitoring, and collaborate on product and technical decisions for global real-time user experiences.

The Senior Employment Counsel oversees compliance with employment laws, develops policies with HR, provides legal counsel, conducts audits, and drafts training materials.

Investigate and escalate fraud, money laundering, and suspicious activity using monitoring and case management tools. Perform CDD/EDD, ongoing monitoring, and document findings for audits and regulatory exams. Tune detection rules, collaborate with engineering and leadership on complex cases, and provide training and guidance to front-line staff to mitigate financial crime risks and ensure BSA/AML compliance.

Design, build, and operate production-grade realtime and batch data pipelines and internal data products. Ensure data correctness, tooling for backfills and reports, and partner with product/business teams to prioritize data acquisition and improvements. Work across query engines and streaming frameworks to support analytics, monitoring, and debugging for product and business stakeholders.

Design, build, and maintain scalable, highly available APIs and platform systems for X Developer Platform. Collaborate with product, business, and engineering teams to improve developer experience, support customers, and shape platform architecture for high-throughput distributed systems.

Build and operate large-scale, low-latency search infrastructure including real-time indexing, query execution, and data pipelines. Drive production reliability, performance optimization, incident response, and technical direction for core search systems supporting high write and query loads.

Design, build, and operate large-scale search and retrieval systems. Train and deploy ML ranking models, integrate Grok into search, and scale search infrastructure for millions of users while owning end-to-end solutions.

Build and optimize backend microservices, APIs, and data models for a high-scale global payments platform. Collaborate with client engineers, drive architecture and scalability decisions, support payments, fraud, and compliance initiatives, and maintain testing, monitoring, deployment, and secure data handling for low-latency, high-concurrency systems.

Design and deliver high-value human data and evaluation projects for LLMs. Partner with model teams, build tooling to measure data effectiveness, maintain data integrity, design annotation workflows, run evaluations, and scale Human Data operations to improve model quality and truthfulness.

Provide legal counsel to product and engineering teams on AI, privacy, content regulation, copyright, advertising, and consumer protection. Partner cross-functionally to advise on product features, build scalable legal processes, support international expansion, and stay current on U.S. and international laws affecting xAI products. Work in-office full time and collaborate with Legal, Engineering, Safety, Policy, and Business Development.

The IT Systems Engineer will manage Windows and Linux infrastructure, ensuring reliability and performance through troubleshooting, optimization, and automation. Responsibilities include supporting application stacks, collaborating with teams, and maintaining system documentation and metrics.

Design, build, and optimize high-speed interconnects for AI ML clusters, manage vendor relations, and drive innovation in connectivity solutions.

Develop and maintain a high-reliability Linux-based OS for a supercomputer network. Write and optimize high-performance device drivers, manage production deployment and debugging, improve observability and configuration tools, and collaborate on hardware bring-up and design with hardware teams and partners.

Join a small team to develop innovative iOS applications focusing on AI, optimize performance, and enhance user experience. Expertise in Swift required.

Design, implement, and mature enterprise IAM across on‑prem, cloud, and SaaS. Lead federation (SAML/OIDC/OAuth/SCIM), identity lifecycle, RBAC/PAM/JIT initiatives, automation (Terraform, scripting), and cloud IAM (AWS/GCP). Act as IAM SME, mentor engineers, support audits/compliance, and participate in on‑call incident response.

Design and optimize large-scale, low-latency model serving systems end-to-end. Implement distributed infrastructure (batching, caching, load balancing, autoscaling), accelerate GPU inference (kernels, quantization, codegen), build reliable high-concurrency serving, and create tooling and CI/CD for deployment and benchmarking.

Build, operate, and scale distributed data infrastructure (Kafka, Spark, Flink, Trino, HDFS) to enable real-time ML pipelines and analytics at petabyte scale. Design high-throughput, low-latency ingestion and transport, optimize performance, debug distributed systems, and collaborate with ML and product teams to ensure reliable, production-grade data movement and compute.

Design, build, and optimize massive GPU clusters and low-level CUDA kernels for AI training and inference. Work on Linux kernel internals, virtualization (KVM, Firecracker), custom orchestration, profiling, and infrastructure-as-code to maximize performance and scalability for production AI workloads.

Design, implement, and operate core networking software for a large-scale GPU datacenter fabric. Develop routing and traffic-engineering algorithms, real-time switch software, prototypes and experiments, deployment and CI tooling, monitoring, and testing to maximize performance and reliability of AI training infrastructure.

The HR Business Partner supports engineering teams by managing employee relations, performance management, and organizational development, aiding in employee onboarding and career development.