or apply directly on SpaceXAI's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 87 days SpaceXAI's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- Yes 32% of SpaceXAI's roles list one
- Ghost-job risk at SpaceXAI
- high 258 stale, 5 reposted of 258 open
- Hiring momentum
- 339 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-29
Measured from postings appearing on and disappearing from SpaceXAI's own greenhouse board since 2026-08-03. Full hiring picture for SpaceXAI.
About this role
As an ML Infrastructure Engineer at SpaceX, you will design, build, and scale GPU compute infrastructure and training frameworks to support machine learning initiatives. Your role involves developing data pipelines, collaborating with ML teams to integrate models, and ensuring the reliability and efficiency of large-scale ML systems. You will also mentor junior engineers and tackle complex problems across the full stack.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SpaceXAI as an employer.
What you need
- 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
Nice to have
- 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
What you get
- $180,000 - $440,000 USD
- equity
- comprehensive medical, vision, and dental coverage
- access to a 401(k) retirement plan
- short & long-term disability insurance
- life insurance
Worth weighing
- broad range of salary with no specific midpoint mentioned
- focus on high-performance ML platform may imply a fast-paced and demanding work environment
- mentoring responsibilities may require additional soft skills and leadership experience
Summarised from SpaceXAI's posting. Read the full original.
Listed by SpaceXAI on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.
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