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Palo Alto, United States

ML Infrastructure Engineer

SpaceXAI · Palo Alto · United States

$180,000–$440,000 per yearDevOps / Platform Engineer

Posted: 7/22/2026 · Last checked: 10/12/2026

Job description

Quoted in full from SpaceXAI's job posting. Gavroche does not edit it.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. 

SpaceXSI is building Super Intelligence to understand the universe and help expand humanity’s knowledge and capabilities. We work across the full Super Intelligence stack: compute (Colossus supercomputers), models (Grok), and applications (Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X). We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

ABOUT THE ROLE:

As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact.

RESPONSIBILITIES:

  • Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses
  • Developing data pipelines and integrating large-scale data, training, and inference systems
  • Collaborating with ML teams to productionize models and ensure seamless integration across the stack
  • Ensuring scalability, reliability, and efficiency of large-scale machine learning systems
  • Working across the full stack to solve complex problems independently
  • Mentoring junior engineers and contributing to the growth of the team

BASIC QUALIFICATIONS:

  • Bachelor, Master, Post-graduate or PhD in computer science, machine learning, or other quantitative discipline; or equivalent work experience
  • 2+ years of industry experience working with high traffic or large-scale production environments, distributed systems, GPU infrastructure, and/or deep learning applications
  • 2+ years experience with ML platforms, training infrastructure, or close collaboration with modeling engineers and data scientists
  • Strong proficiency with Python and experience with compiled languages such as C++ or Rust

PREFERRED SKILLS AND EXPERIENCE:

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

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base 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.

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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Middle half: 145,000 – 200,000 USD a year; median 176,250 USD.

From 299 adverts by 131 employers that state a salary, annualised.

How devops / platform engineer roles in the United States are worked

3% fully remote · 3% hybrid · 94% do not say

Of 72 adverts. An advert that does not state a work mode is counted as not saying, not as on-site.

New openings in Palo Alto, by week

  1. 7/20/2026 27
  2. 7/27/2026 13
  3. 8/3/2026 33
  4. 8/10/2026 20
  5. 8/17/2026 21
  6. 8/24/2026 28
  7. 8/31/2026 25
  8. 9/7/2026 21
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  11. 9/28/2026 46
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337 openings over 12 weeks, by the week they were published.

Other roles at SpaceXAI

261 open, including roles outside the United States.