Software Engineer - Training Infrastructure

Highlights

• Architect and lead development of training platform for frontier AI teams.
• Design a global training scheduler for large-scale ML workloads.
• Build reinforcement learning systems and continuous learning pipelines.

What they offer

• Meaningful equity (U.S. only)
• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO including company-wide Winter Break
• Paid parental leave
• Fertility and family-building stipend through Carrot (U.S. only)
• Company-facilitated 401(k)

Ideal candidate

Infrastructure-minded builder with 5+ years experience who loves owning large-scale distributed systems end to end and partnering with researchers to turn demanding ML training needs into reliable, high-performance platforms.

Requirements

• Bachelor's degree or higher in Computer Science or related field
• 5+ years of experience
• Proficiency in Go
• Deep expertise with Kubernetes in production environments
• Advanced understanding of distributed systems concepts and performance tuning
• Proven experience designing observability systems
• Experience with ML/AI workloads and MLOps platforms