ML Infrastructure Engineer (AI)

Location: Palo Alto, California, United States (Onsite)

Salary: $180,000 – $440,000 USD

Company

xAI is a small, highly motivated team focused on creating AI systems that understand the universe to aid humanity in its pursuit of knowledge.

What you will do

• Design, build, and scale GPU compute infrastructure, training frameworks, and experimentation tools.
• Develop data pipelines and integrate large-scale data, training, and inference systems.
• Collaborate with ML teams to productionize models and ensure seamless integration across the stack.
• Ensure the scalability, reliability, and efficiency of large-scale machine learning systems.
• Solve complex technical problems independently across the full stack.
• Mentor junior engineers and contribute to the overall growth of the engineering team.

Requirements

• Degree in computer science, machine learning, or a quantitative discipline (or equivalent experience).
• 2+ years of industry experience with high-traffic production environments, distributed systems, or GPU infrastructure.
• 2+ years of experience with ML platforms, training infrastructure, or collaboration with modeling engineers.
• Strong proficiency in Python and experience with compiled languages like C++ or Rust.
• Must be based in or able to work from Palo Alto, California.

Nice to have

• Deep familiarity with modern ML frameworks such as JAX or PyTorch.
• Low-level understanding of compute systems, NVIDIA drivers, CUDA toolkits, and networking.
• Experience with Linux systems and orchestration tools.
• Experience with job schedulers (Slurm) or configuration management (Puppet/Ansible).

Culture & Benefits

• Flat organizational structure emphasizing initiative and hands-on contribution.
• Competitive compensation including base salary and equity.
• Comprehensive medical, vision, and dental coverage.
• Access to a 401(k) retirement plan and life insurance.
• Short and long-term disability insurance and various other perks.