Engineering Manager, ML Platform & GPU Infra

applied; Sunnyvale (CA); On-site; USD 204,000 - 343,000; Full time

Benefits offered by this job

Equity options

Health insurance

401k retirement benefits

Paid time off

Job summary

Applied Intuition is seeking an Engineering Manager for the ML Platform team in Sunnyvale, California. This role involves leading a team focused on building and optimizing a cutting-edge infrastructure for Physical AI. You will manage GPU clusters, drive performance optimizations, and collaborate with various teams to accelerate development.

Your responsibilities include team management, infrastructure design, and ensuring operational excellence. Ideal candidates have substantial experience in engineering management and a passion for high-performance systems.

Qualifications

• 3+ years of engineering management experience, ideally leading infrastructure or platform teams.
• Deep experience with distributed systems, GPU computing, or large-scale ML infrastructure.
• Track record of building and operating systems that run reliably at massive scale.

Responsibilities

• Grow and manage a team of world-class engineers for ML platforms.
• Own design and evolution of frameworks for orchestrating training jobs.
• Drive scaling of GPU cluster infrastructure.

Skills

Engineering management experience

Distributed systems

GPU computing

Large-scale ML infrastructure

Team leadership

Education

Bachelor's or higher in relevant field

Tools

PyTorch Distributed

Kubernetes

Slurm

GPU cluster management

Job description

Applied Intuition is seeking an Engineering Manager for the ML Platform team in Sunnyvale, California. This role involves leading a team focused on building and optimizing a cutting-edge infrastructure for Physical AI. You will manage GPU clusters, drive performance optimizations, and collaborate with various teams to accelerate development.

Your responsibilities include team management, infrastructure design, and ensuring operational excellence. Ideal candidates have substantial experience in engineering management and a passion for high-performance systems.