ML Infrastructure Engineer
- Status
- Open
- Remote policy
- Not stated
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Engineering
- Source
- xai
- First observed
- 2026-08-18 21:02 UTC
- Last seen
- 2026-10-13 05:08 UTC
- Source claims posted
- 2026-07-22 03:49 UTC
- Consecutive misses
- 0 of 3
What the posting says
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 understand the universe and help expand humanity’s knowledge and capabilities. We work across the full Super Intelligence stack: compute (Colossus supercomputers), models (Grok), and applications (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.
ABOUT THE ROLE:
As an ML Infrastructure Engineer, you will play a pivotal role in building and optimizing the reliable, high-performance ML platform that powers recommendations on X. We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact.
RESPONSIBILITIES:
Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses
Developing data pipelines and integrating large-scale data, training, and inference systems
Collaborating with ML teams to productionize models and ensure seamless integration across the stack
Ensuring scalability, reliability, and efficiency of large-scale machine learning systems
Working across the full stack to solve complex problems independently
Mentoring junior engineers and contributing to the growth of the team
BASIC QUALIFICATIONS:
Bachelor, Master, Post-graduate or PhD in computer science, machine learning, or other quantitative discipline; or equivalent work experience
2+ years of industry experience working with high traffic or large-scale production environments, distributed systems, GPU infrastructure, and/or deep learning applications
2+ years experience with ML platforms, training infrastructure, or close collaboration with modeling engineers and data scientists
Strong proficiency with Python and experience with compiled languages such as C++ or Rust
PREFERRED SKILLS AND EXPERIENCE:
Deep familiarity with modern ML frameworks such as JAX or PyTorch
Low-level understanding of compute systems, including distributed storage, NVIDIA drivers, CUDA toolkits, and networking
Comfortable with Linux systems and orchestration tools
Experience with job schedulers (e.g., Slurm), configuration management (Puppet/Ansible), or related infrastructure tooling
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.
Quality
- x Salary range stated weight 35%
- x Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Based on 17 observation(s).
- + Days open - fineOpen for 55 days so far
- + Reopen count - fineNever reopened
- + Salary range removed after publication - fineSalary range has not been removed since publication
- + Salary range narrowed - fineSalary range has not narrowed since publication
- + Missing/reappear cycles - fineNo missing-then-reappeared cycles observed
Timeline
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#161881 2026-08-18 21:02 UTCPublished
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#167607 2026-08-19 01:02 UTCModified
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#199831 2026-08-20 01:16 UTCModified
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#231276 2026-08-21 04:27 UTCModified
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#259238 2026-08-21 23:53 UTCModified
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#388550 2026-08-26 22:37 UTCModified
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#557755 2026-09-03 21:32 UTCModified
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Locations
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#646324 2026-09-08 23:51 UTCModified
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#963232 2026-09-24 06:03 UTCModified
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#974977 2026-09-24 18:07 UTCModified
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#1100258 2026-09-30 22:44 UTCModified
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#1295309 2026-10-12 13:22 UTCModified
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Description
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our...->SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where...
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#1311382 2026-10-13 01:08 UTCModified
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Description
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where...->SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where... -
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#1314356 2026-10-13 05:08 UTCModified
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Organisation
SpaceXAI->SpaceXSI
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