Model Engineer, RL Inference

United States·Palo Altolead

OtherSoftware EngineerMember Of Technical StaffSoftware Engineering

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Quick Summary

Key Responsibilities

Design and optimize our inference stack for all shapes of RL workloads at SpaceXSI, from small scale ablations to production training runs Analyze,

Requirements Summary

Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++ PREFERRED SKILLS AND EXPERIENCE: Experience in building, debugging,

Technical Tools

OtherSoftware EngineerMember Of Technical StaffSoftware Engineering

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.

The RL infrastructure team is looking for an engineer to help with low precision RL training and inference.

Responsibilities

~1 min read

→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 modeling team to efficiently implement novel RL techniques and algorithms

Requirements

~1 min read

Experience writing production-quality code in Python, PyTorch, JAX, Rust, or C++

Experience in building, debugging, and optimizing efficiency of large-scale distributed systems
Experience in LLM inference
Strong knowledge in quantization and numerics in LLM inference and training
Experience in developing inference engines, e.g. SGLang, vLLM
Willingness to dive deep and solve hardcore problems at all levels of the stack

What We Offer

~1 min read

$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.

Location & Eligibility

Where is the job

Palo Alto, United States

On-site at the office

Who can apply

About this job

Pay per year: $180,000–$440,000 a year; 356% above the $68,006 median for Other jobs on Jobera (131,969 salaries).
Who can apply: United States
Posted: 116 days ago
Employer: has 309 open jobs on Jobera in 7 countries.