Manager, Engineering – Hardware Acceleration, CUDA

Job not on LinkedIn

3 days ago

🚗 Michigan – Remote

Although this job is listed in Michigan, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

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Torc Robotics

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Transport • Hardware • Artificial Intelligence

Torc Robotics is an innovative company focused on commercializing self-driving trucks for long-haul freight transportation. As an independent subsidiary of Daimler Truck, the company is developing autonomous technology, primarily focusing on the Freightliner Cascadia. Torc is committed to safe transportation, continuously improving its solutions through rigorous testing and integration of industry-leading sensors. It collaborates with fleet management companies to deploy real-world autonomous solutions, aiming to lead the industry in autonomous trucking.

501 - 1000 employees

Founded 2007

🚗 Transport

🔧 Hardware

🤖 Artificial Intelligence

📋 Description

• 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.

🎯 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.

🏖️ 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