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Posted 19 d agoFirst seen 9 d ago
Evaluation Infrastructure
Posted by xAI on 30 September 2026, 19 days ago. Still on their Greenhouse board when we checked 48 min ago. Half of xAI's roles come down within 117 days.
What the posting is about
Develop and maintain evaluation infrastructure for large-scale distributed systems. Collaborate with modeling and evaluation teams. Identify and resolve performance bottlenecks. Experience in LLM inference and GPU management preferred.
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
Posted2026-09-30
Found viagreenhouse, direct from their system
We saw it 10 days 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 develop our evaluation infrastructure.
RESPONSIBILITIES:
Build highly reliable, efficient, and easy to use infrastructure that runs all our evaluations at scale
Collaborate closely with modeling & evaluation teams on developing new evals, maintaining evaluation signal quality, and building internal tooling to support training our next-generation of models
Identify and resolve performance bottlenecks in all layers of the eval infrastructure stack, including inference, capacity fleet management, asynchronous eval orchestration, and more
BASIC QUALIFICATIONS:
Experience in building, debugging, and optimizing efficiency of large-scale distributed systems
Willingness to dive deep and solve hard problems at all levels of the stack
PREFERRED SKILLS AND EXPERIENCE:
Experience in LLM inference
Experience in GPU compute management, workload scheduling, and dynamic resource optimization
Experience in developing interfaces for comparing models and evals
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 ↗
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