ML Infrastructure Engineer

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

Benefits offered by this job

Equity

Medical, vision, dental

401(k)

Disability insurance

Life insurance

Employee discounts

Job summary

SpaceXSI is seeking an ML Infrastructure Engineer to design, build, and optimize a high-performance ML platform powering recommendations. You will scale GPU compute, data pipelines, and experimentation tooling, collaborating with ML teams to productionize models and ensure reliable, scalable systems.

Ideal candidates have 2+ years in large-scale environments, strong Python (plus C++/Rust), and experience with ML frameworks like JAX or PyTorch.

Qualifications

• Bachelor, Master, Post-graduate or PhD in computer science, ML, or quantitative discipline; or equivalent work experience
• 2+ years in high-traffic or large-scale production environments, distributed systems, GPU infra, or DL apps
• 2+ years experience with ML platforms, training infra, or collaboration with modeling/data science teams
• Strong proficiency with Python and experience with C++ or Rust

Responsibilities

• Design, build, and scale GPU compute infrastructure, training frameworks, and experimentation tools
• Develop data pipelines and integrate large-scale data, training, and inference systems
• Collaborate with ML teams to productionize models and ensure seamless integration
• Ensure scalability, reliability, and efficiency of large-scale ML systems
• Work across the full stack to solve complex problems independently
• Mentor junior engineers and contribute to team growth

Skills

Python

C++

Rust

JAX

PyTorch

Linux

Education

Bachelor/Master/PhD in CS or related field

Tools

Slurm

Puppet/Ansible

NVIDIA drivers

CUDA toolkit

Job description

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.

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.