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Posted 3 mo agoFirst seen 13 d ago
RL Inference
Posted by xAI on 6 July 2026, 108 days ago. Still on their Greenhouse board when we checked just now. Half of xAI's roles come down within 75 days.
What the posting is about
Design and optimize RL inference stack for various workloads. Analyze and address performance bottlenecks. Collaborate with modeling team to implement novel RL techniques. Build, debug, and optimize large-scale distributed systems.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationPalo Alto, CA
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-07-06
Found viagreenhouse, direct from their system
We saw it 3 months after it went up.
The posting, as the company wrote 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 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 .
Copied from xAI’s own board, not rewritten. Original ↗
Also open at xAI
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