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RL Training Framework

SpaceXSIPalo Alto🇺🇸United StatesPosted Oct 22, 2026

Why this role stands out

This role offers an exceptional opportunity to contribute to groundbreaking AI research at SpaceXAI, with a highly competitive compensation package of $180,000 - $440,000 annually. You'll thrive here if you're a driven engineer eager to build and optimize large-scale distributed systems, taking initiative in a collaborative and intellectually stimulating environment. Apply now to make a significant impact on understanding the universe.

Quick overview

Salary$180k - $440k/yr
SeniorityMid Senior
Work modeHybrid
LocationPalo Alto, United States
Posted3 days ago
RustC++LLMPython

Job description

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 help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including 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:

The RL infrastructure team is looking for an engineer to help develop our RL training framework.

RESPONSIBILITIES:

  • Design and implement the systems backing all RL workloads at SpaceXSI, from small scale ablations to production training runs.
  • Profile, debug, and optimize end-to-end training performance
  • Improve scalability and observability of the RL stack

BASIC QUALIFICATIONS:

  • Experience building, debugging, and optimizing efficiency of large-scale distributed systems
  • Comfortable diving into unfamiliar areas and solving problems at all levels of the stack
  • Proficiency in Python, Jax, Rust, and/or C++

PREFERRED SKILLS AND EXPERIENCE:

  • Experience with large scale LLM training infrastructure
  • Strong knowledge of reinforcement learning techniques
  • Experience with RL numerics

COMPENSATION AND BENEFITS:

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at SpaceXSI, 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.

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

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