Manager, Engineering - Hardware Acceleration (CUDA)

Torc Robotics • Ann Arbor, MI

23d

About The Position

We are seeking an experienced and technically strong Engineering Manager to lead Torc’s Hardware Acceleration group. This leader will shape the technical roadmap for model optimization and embedded inference while growing and guiding a high-performing team of engineers. Success requires both deep technical knowledge across CUDA, TensorRT, and embedded ML deployment, and the leadership ability to coach, hire, set direction, and drive execution in a safety-critical environment.

Requirements

• Master’s degree in Computer Science, Electrical Engineering, or related field.
• Experience leading software engineering teams (people management, hiring, coaching, performance management).
• Strong technical expertise in CUDA, TensorRT, NVIDIA DriveOS, and embedded inference workflows.
• Deep proficiency in C++ and modern software development practices.
• Experience with ML frameworks such as PyTorch and ONNX for model export and optimization.
• Strong Linux development experience and familiarity with real-time, resource-constrained systems.
• Background working with safety-critical, automotive, or regulated environments.
• Ability to guide technical design decisions and challenge assumptions while fostering collaborative problem-solving.
• Comfortable working in an agile, fast-paced environment with shifting priorities.

Nice To Haves

• Hands-on mentality — willing to jump into technical work when needed.
• Experience developing or certifying automotive-grade products (ISO 26262, ASPICE).
• Experience building middleware, model-serving frameworks, or GPU-accelerated systems.
• Background in high-performance computing, large-scale model optimization, or distributed inference systems.

Responsibilities

• Lead the development and optimization of ML inference pipelines on embedded hardware, including model conversion (PyTorch/ONNX), TensorRT integration, and CUDA-based pre/post-processing.
• Design, review, and guide development of custom CUDA kernels to support proprietary model layers and performance-critical operations.
• Drive technical execution across model optimization, inference scalability, benchmarking, and real-time system integration.
• Ensure high-quality C++ and CUDA code through robust design, documentation, and test coverage.
• Integrate optimized models and processing stages into Torc’s Application Engine and support Virtual Driver teams in adopting the optimized inference layer.
• Hire, lead, and develop a high-performance engineering team, building a culture of ownership, collaboration, and continuous improvement.
• Set technical and operational goals aligned with company-wide objectives; define and track team KPIs and milestones.
• Provide coaching, career development, and skill-building opportunities for engineers; maintain development plans and performance expectations.
• Establish and improve engineering processes for planning, delivery, testing, documentation, and cross-team collaboration.
• Reinforce Torc’s values through transparent communication, conflict resolution, and proactive change leadership.

Benefits

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• Company-wide holiday office closures
• AD+D and Life Insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 501-1,000 employees