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Member of Technical Staff - RL Inference

SpaceXAIPalo Alto🇺🇸United StatesPosted Aug 27, 2026

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
Seniority
Mid Senior
Location
Palo Alto, United States
Posted
2 weeks ago
RustCUDAC++HTTPSLLMPyTorchPython

Job Description

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

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 SpaceXAI, 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 SpaceXAI, 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.

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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