Recently postedTechnology

Software Engineer, RL Inference

SpaceXSIPalo Alto🇺🇸United States

Why this role stands out

You will have the opportunity to significantly impact the development of cutting-edge AI systems at SpaceXAI by optimizing their inference stack for large-scale RL workloads. This role is ideal for ambitious engineers with a passion for solving complex problems and a strong background in distributed systems and LLM inference who are eager to contribute to a mission-driven organization. Apply now to join a highly motivated team focused on engineering excellence and expanding humanity's understanding of the universe.

Quick overview

Salary$180k - $440k/yr

SeniorityMid Senior

Work modeHybrid

LocationPalo Alto, United States

RustCUDAC++LLMPyTorchPython

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.

SOFTWARE ENGINEER, RL INFERENCE

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 modeling 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, and frameworks such as PyTorch, Jax, CUDA

PREFERRED SKILLS AND EXPERIENCE:

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

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.