Engineering Manager - ML Platform and Infrastructure

Tech Stack

Responsibilities

• Grow and manage a team of world-class infrastructure and systems engineers focused on delivering a best-in-class ML platform for Physical AI.
• Own the design and evolution of frameworks for orchestrating distributed training and inference jobs across thousands of GPUs.
• Drive the buildout and scaling of the GPU cluster infrastructure, making critical decisions on architecture, scheduling, networking, and resource management.
• Lead efforts to optimize training and inference performance, including throughput, fault tolerance, GPU utilization, and cost efficiency at scale.
• Set team goals and roadmap in alignment with research milestones, model development timelines, and production deployment requirements.

Soft Skills

Benefits

• 401k
• Dental
• Disability Insurance
• Equity
• Health Insurance
• Learning Budget
• Life Insurance
• Paid Time Off
• Vision

Culture

Requirements