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Engineering Manager - ML Platform and Infrastructure

Applied Intuition· Engineering
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Hybrid (Sunnyvale, CA)$204k - $343kFull-timePosted 8mo ago

About the role

Engineering Manager on the ML Platform team responsible for building and scaling infrastructure for Physical AI, including Training & Inference Orchestration, GPU Cluster Architecture, and Performance Optimization.

Responsibilities

  • Grow and manage a team of world-class infrastructure and systems engineers with the goal of 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 GPU cluster infrastructure, including architecture, scheduling, networking, and resource management
  • Lead efforts to optimize training and inference performance (throughput, fault tolerance, GPU utilization, cost efficiency) at scale
  • Set team goals and roadmap aligned with research milestones, model development timelines, and production deployment requirements
  • Partner with research, stack development, and infrastructure teams to understand workflows and accelerate iteration speed
  • Drive hiring, mentoring, and growth for a high-performing, mission-driven team

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
  • Direct experience building or operating large GPU clusters (1,000+ GPUs)
  • Strong understanding of distributed training frameworks (e.g., PyTorch Distributed, Megatron-LM, DeepSpeed, FSDP) and job orchestration at scale
  • Familiarity with GPU cluster management, high-performance networking (InfiniBand, RDMA), and resource scheduling (Slurm, Kubernetes)
  • Track record of building and operating systems that run reliably at massive scale

Skills

Required:Distributed systemsGPU clusteringDistributed training frameworksGPU networking and scheduling

Benefits

  • Base salary, equity, and benefits including comprehensive health, dental, vision, life and disability insurance
  • 401k retirement benefits with employer match
  • Learning and wellness stipends
  • Paid time off
Last updated May 26, 2026. Interested? Apply on the company site.

About Applied Intuition

Building vehicle intelligence | Applied Intuition

Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.

AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
Company profileWebsite

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