Senior Software Engineer, AI Infrastructure

4 days ago

Base Salary

$147k - $220k/yr

Responsibilities

Design and scale the orchestration layer so high-value workloads receive GPU time.
Build software-defined infrastructure and automation for researcher productivity and cluster health management.
Own systems spanning the Beaker job scheduler through the execution runtime.
Analyze complex distributed system failures and optimize distributed workloads for performance.
Contribute to roadmaps for large-scale HPC compute, networking, and storage infrastructure.
Review code and design documents, mentor team members, drive process improvements, and collaborate with research staff.

8+ years of professional experience developing business-critical software and operating large-scale compute infrastructure.
Proficiency in Go and/or Python is preferred.
Bachelor’s degree in a related field; a relevant advanced degree may substitute for equivalent years of technical work experience.
Expert-level knowledge of Linux internals and container runtimes such as Docker.
Proven experience designing, debugging, and optimizing high-scale distributed systems and databases.
Exceptional writing, communication, and consensus-building skills across researchers and engineers.
Preferred experience with Kubernetes or Slurm, NCCL, InfiniBand, frontier AI model training or fine-tuning, HPC systems administration or SRE, open-source infrastructure, WEKA, or Ceph.

Medical, dental, vision, employee assistance, health savings, healthcare reimbursement, and flexible spending account plans.
401(k) plan, annual bonuses, and participation in a long-term incentive plan.
$125 per month for commuting or internet expenses and $200 per month for fitness and wellbeing expenses.
Up to 10 sick days, 7 personal days, 20 vacation days, and 12 paid holidays annually, plus family leave.
Based in the Seattle office with on-site requirements varying by position and team.

201-500 employees