jobctl

Member of Technical Staff - RL Inference

SpaceXAI - Palo Alto, CA - original posting ->
Status
Open
Remote policy
Not stated
Employment type
Not stated
Salary
Not stated
Categories
Model
Tech
cpppythonruststaff
Source
xai
First observed
2026-08-18 21:02 UTC
Last seen
2026-09-30 22:44 UTC
Source claims posted
2026-07-06 14:59 UTC
Consecutive misses
0 of 3

What the posting says

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.

Quality

Completeness: 45%
Honesty: 100%

Based on 14 observation(s).

Timeline

  1. *
    #161957 2026-08-18 21:02 UTC
    Published
  2. ~
    #167684 2026-08-19 01:02 UTC
    Modified
    • source_updated_at
      2026-08-18T15:14:36-04:00->2026-08-18T18:10:46-04:00
  3. ~
    #199908 2026-08-20 01:16 UTC
    Modified
    • source_updated_at
      2026-08-18T18:10:46-04:00->2026-08-19T18:53:03-04:00
  4. ~
    #231354 2026-08-21 04:27 UTC
    Modified
    • source_updated_at
      2026-08-19T18:53:03-04:00->2026-08-20T20:36:54-04:00
  5. ~
    #259316 2026-08-21 23:53 UTC
    Modified
    • source_updated_at
      2026-08-20T20:36:54-04:00->2026-08-21T18:24:01-04:00
  6. ~
    #388621 2026-08-26 22:37 UTC
    Modified
    • source_updated_at
      2026-08-21T18:24:01-04:00->2026-08-26T17:48:54-04:00
  7. ~
    #394249 2026-08-27 06:39 UTC
    Modified
    • source_updated_at
      2026-08-26T17:48:54-04:00->2026-08-26T23:12:24-04:00
  8. ~
    #407495 2026-08-27 22:40 UTC
    Modified
    • source_updated_at
      2026-08-26T23:12:24-04:00->2026-08-27T18:09:48-04:00
  9. ~
    #557828 2026-09-03 21:32 UTC
    Modified
    • Locations
      Palo Alto, California->Palo Alto, CA
    • source_updated_at
      2026-08-27T18:09:48-04:00->2026-09-03T14:58:20-04:00
  10. ~
    #564582 2026-09-04 05:32 UTC
    Modified
    • source_updated_at
      2026-09-03T14:58:20-04:00->2026-09-04T00:53:32-04:00
  11. ~
    #646395 2026-09-08 23:51 UTC
    Modified
    • source_updated_at
      2026-09-04T00:53:32-04:00->2026-09-08T18:33:02-04:00
  12. ~
    #963312 2026-09-24 06:03 UTC
    Modified
    • source_updated_at
      2026-09-08T18:33:02-04:00->2026-09-23T23:22:06-04:00
  13. ~
    #975056 2026-09-24 18:07 UTC
    Modified
    • source_updated_at
      2026-09-23T23:22:06-04:00->2026-09-24T13:08:26-04:00
  14. ~
    #1100344 2026-09-30 22:44 UTC
    Modified
    • source_updated_at
      2026-09-24T13:08:26-04:00->2026-09-30T16:41:12-04:00