Senior Software Engineer AI Infrastructure

You will design and deliver systems spanning job scheduling and execution runtime. You will automate cluster operations, diagnose distributed-system failures, optimize GPU workloads, guide HPC infrastructure planning, mentor engineers, and collaborate with research staff on system designs.

Responsibilities

• Design and deliver systems spanning job scheduling and execution runtime
• Build tooling and software-defined infrastructure for cluster health management
• Analyze distributed-system failures and optimize distributed workloads
• Contribute to large-scale HPC roadmap planning
• Review code and design documents
• Mentor team members and improve team processes
• Collaborate with research staff on system designs and implementation

Requirements

• 8+ years of professional experience developing business-critical software and operating large-scale compute infrastructure
• Go and/or Python proficiency
• Bachelor's degree in a related field, or equivalent advanced-degree experience
• Linux internals knowledge
• Knowledge of Docker container runtimes
• Experience designing, debugging, and optimizing distributed systems and databases
• Writing and consensus-building skills

Benefits

• Medical, dental, vision, and employee assistance coverage for team members and families
• Health savings account, healthcare reimbursement arrangement, and flexible spending accounts
• 401k plan
• $125 monthly commuting or internet expense assistance
• $200 monthly fitness and wellbeing expense assistance
• Up to 10 sick days, 7 personal days, 20 vacation days, and 12 paid holidays annually
• Annual bonuses
• Long-term incentive plan