Software Engineer, RL Inference

X.ai; Palo Alto (CA); On-site; USD 180,000 - 440,000; Full time

Job summary

SpaceXSI is building Super Intelligence to help humanity understand the universe. The RL infrastructure team seeks an engineer to design and optimize the inference stack for RL workloads, from ablations to production training runs.

Required experience includes Python, C++ and/or Rust, and frameworks such as PyTorch, Jax, CUDA. You will analyze bottlenecks, collaborate with the modeling team on efficient RL techniques, and develop scalable inference engines.

Qualifications

• Experience with Python, C++ and/or Rust, and frameworks such as PyTorch, Jax, CUDA

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

Skills

Python

C++/Rust

PyTorch

Jax

CUDA

Tools

SGLang

vLLM

Job description

SOFTWARE ENGINEER, RL INFERENCE

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:

• 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 with Python, C++ and/or Rust, and frameworks such as PyTorch, Jax, CUDA

PREFERRED SKILLS AND EXPERIENCE:

• 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

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.