Senior Manager, AI Deployment & Vehicle Inference

General Motors; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

General Motors is seeking a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving.

You will oversee engineering managers and senior leaders across model optimization, GPU systems, inference runtimes, and vehicle integration to drive latency reduction and diagnostic tooling. This role demands strong technical judgment and cross-functional leadership.

Qualifications

• Bachelor's degree in CS/EE/Robotics or related field; advanced degree preferred.
• 10+ years in ML systems, model optimization, inference, robotics, or related.
• 5+ years of people leadership, including managers or senior technical leaders.
• Experience shipping production ML inference on GPU/edge hardware.
• Strong understanding of model performance factors: architecture, tensor shapes, operators, memory, scheduling, runtime, hardware.

Responsibilities

• Own strategy, roadmap, and operating plan for AI model performance and inference quality.
• Establish performance budgets for latency, throughput, memory, GPU utilization, power, and numerical parity.
• Lead investigations into bottlenecks across model architecture, operators, kernels, memory movement, scheduling, runtime behavior, and hardware utilization.
• Establish repeatable benchmarking and profiling practices across simulation, hardware-in-the-loop, bench, and vehicle environments.
• Guide optimization through model architecture changes, operator and kernel improvements, memory optimization, scheduling, and hardware-aware execution.
• Build performance dashboards, regression detection, benchmark automation, and root-cause diagnostics.
• Partner with Embodied AI, model development, GPU kernel, runtime, system performance, vehicle integration, simulation, and safety teams.
• Influence model design by translating profiling results into clear recommendations for model architects and researchers.
• Represent AI Deployment in architecture reviews, program planning, and senior leadership discussions.

Skills

Leadership

Machine Learning Systems

GPU Systems

Profiling & Benchmarking

Python/C++

Cross-functional leadership

Education

CS/EE/Robotics degree

Tools

PyTorch

CUDA

TensorRT

PyTorch Profiler

Nsight Systems

Job description

General Motors is seeking a Senior Manager, AI Deployment to lead the strategy and execution of model performance and on-vehicle inference for autonomous driving.

You will oversee engineering managers and senior leaders across model optimization, GPU systems, inference runtimes, and vehicle integration to drive latency reduction and diagnostic tooling. This role demands strong technical judgment and cross-functional leadership.