Top Tech Jobs & Startup Jobs

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.

Develop and maintain the xAI API for high-throughput inference, managing model serving infrastructure, request routing, and scaling.

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.

The Backend Engineer will design and maintain scalable distributed systems, leveraging expertise in Rust or C++ along with databases and observability practices.

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.

Provide technical support and troubleshooting for X Ads and analytics, liaise between advertisers, sales, and engineering, identify recurring issues, create documentation, monitor campaign performance and support metrics, and drive process improvements to unblock revenue.

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.