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Active4mo ago

Member of Technical Staff - RL Inference

SpaceXSIยท๐Ÿ“ Palo Alto, California, United States

Employment

Full-Time

Work mode

On-site

Experience

SENIOR LEVEL

Salary

$180K โ€“ $440K/yr

Pay vs market ยท Top quarter

This job's pay ($310,000 a year at the midpoint) is higher than about 80% of 251 salary-listed Member of Technical Staff jobs in United States in the last 12 months; their median is $260,000.

Salary data โ†’

Role overview

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 with low precision RL training and inference. RESPONSIBILITIES: Design and optimize our inference stack for all shapes of RL workloads at SpaceXSI, from small scale ablations to production training runs. Analyze, profile and address performance bottlenecks in large scale RL systems Work closely with the modelling team to efficiently implement novel RL techniques and algorithms BASIC QUALIFICATIONS: Experience in building, debugging, and optimizing efficiency of large-scale distributed systems Experience in LLM inference Proficiency in programming languages such as Python, C++ and/or Rust; frameworks such as PyTorch, Jax, CUDA Willingness to dive deep and solve hardcore problems at all levels of the stack PREFERRED SKILLS AND EXPERIENCE: Strong knowledge in quantization and numerics in LLM inference and training Experience in developing inference engines, e.g. SGLang, vLLM 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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About this listing

  • Listed from a careers site
  • Posted 6 Jul 2026

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Role market pulse

How Member of Technical Staff demand looks in United States

71/100 ยท rising

Live jobs

276

Posted 30d

252

30d movement

+1382.4%

Remote share

23.9%

Salary listed

90.9%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

Experience in building, debugging, and optimizing efficiency of large-scale distributed systems Experience in LLM inference Proficiency in programming languages such as Python, C++ and/or Rust; frameworks such as PyTorch, Jax, CUDA Willingness to dive deep and solve hardcore problems at all levels of the stack PREFERRED SKILLS AND

Department ยท Model

Hiring company

SpaceXSI

Energy

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