Senior AI Infrastructure Lead - GPU Training at Scale

Rolejob; Seattle (WA); On-site; USD 160,000 - 230,000; Full time

Benefits offered by this job

Equity

Medical Coverage

Vision Coverage

Dental Coverage

401(k) Retirement Plan

Short-Term Disability Insurance

Long-Term Disability Insurance

Life Insurance

Discounts And Perks

Job summary

Rolejob is seeking a lead engineer to guide the design, implementation, and maintenance of high-performance software infrastructure for training Grok models on large GPU clusters. You will establish technical direction for training architectures and hardware, build prototypes, and coordinate planning, milestones, and execution with stakeholders and engineering teams.

The ideal candidate has a BS in CS/engineering/math and hands-on C/C++ systems programming experience, with space-scale GPU and

Qualifications

• Bachelor's degree in computer science, engineering, mathematics, or another technical discipline.
• Hands-on C or C++ systems programming experience is required.
• Preferred: real-world software development and deployment experience, 3+ years software engineering or 1 year C/C++ at SpaceX.
• Strong knowledge of GPU systems, computer architecture, networking, modeling, debugging, optimization, and testing.

Responsibilities

• Lead the team designing, implementing, and maintaining reliable, high-performance software infrastructure for training Grok models across large GPU clusters.
• Set technical direction for training architectures and hardware, develop prototypes, and coordinate planning, milestones, and execution with stakeholders and engineering teams.

Skills

C

C++

Systems Programming

AI Infrastructure

Distributed Training

Computer Architecture

Networking

Performance Optimization

Debugging

Modeling

Unit Testing

Fault Tolerance

Technical Leadership

Software Reliability

Security

Education

Bachelor's degree in Computer Science or related technical field

Job description

Rolejob is seeking a lead engineer to guide the design, implementation, and maintenance of high-performance software infrastructure for training Grok models on large GPU clusters. You will establish technical direction for training architectures and hardware, build prototypes, and coordinate planning, milestones, and execution with stakeholders and engineering teams.

The ideal candidate has a BS in CS/engineering/math and hands-on C/C++ systems programming experience, with space-scale GPU and