Engineering Manager - ML Platform and Infrastructure

About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and valued at $15 billion, the company creates the digital infrastructure to bring intelligence to moving machines. It serves automotive, defense, trucking, construction, mining and agriculture in tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in multiple locations. Learn more at applied.co. About The Role As an Engineering Manager on the ML Platform team, you’ll lead a world-class group of engineers focused on building the infrastructure that powers Physical AI at scale. Your team will own three areas: Training & Inference Orchestration, GPU Cluster Architecture, and Performance Optimization. You’ll work at the intersection of systems engineering and ML, partnering with stack development and research teams to remove bottlenecks and accelerate the path from experimentation to production. At Applied Intuition, You Will Grow and manage a team of world-class infrastructure and systems engineers to deliver 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, making 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 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 We’re Looking For Someone Who Has 3+ years of engineering management experience, ideally leading infrastructure or platform teams Passion for building and leading high-performing teams that operate at scale 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 Nice To Have Background in training optimization techniques such as mixed-precision training, pipeline/tensor/data parallelism, or checkpointing strategies Experience with inference optimization (batching, model serving, quantization, compiler-level optimizations) Familiarity with Physical AI domains such as autonomous driving, robotics, or simulation Contributions to open-source ML infrastructure projects Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Benefits include health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, and paid time off. Benefits are subject to change and may vary by jurisdiction. Applied Intuition pay ranges reflect the base salary target for new hires. The actual base salary offered will be influenced by experience, credentials, educational attainment, skill requirements, interview performance, and the level of the position. Please reference the job posting’s subtitle for location. For pay transparency, the base salary range for this full-time position is: $204,000 - $343,000 USD annually. Don’t meet every single requirement? We encourage you to apply anyway. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. See the full equal opportunity and federal contractor statements in the original posting if applicable. #J-18808-Ljbffr Applied Intuition