Torc Robotics · 11 hours ago
Manager, Engineering - Hardware Acceleration (CUDA)
Ann Arbor, MI
Full-time
Onsite
Senior LevelTorc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. They are seeking an experienced Engineering Manager to lead their Hardware Acceleration group, responsible for optimizing ML inference pipelines and guiding a team of engineers in a safety-critical environment.
Autonomous VehiclesRoboticsSoftware
Hiring Manager
Darren Gardner
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
Qualification
Required
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
Preferred
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
Benefits
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
Company
Torc Robotics
Torc provides L4 end-to-end self-driving software for mobility, trucking, mining, and defense markets through strategic partnerships
Founded in 2005
501-1000 employees
H1B Sponsorship
Torc Robotics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (100)
2024 (41)
2023 (33)
2022 (40)
2021 (14)
2020 (7)
Funding
Current Stage
Late StageTotal Funding
unknown2019-03-29Acquired
Leadership Team
Peter Vaughan Schmidt
CEO
April Alexander
Human Resources Business Partner
Recent News
2025-12-02
2025-09-12
2025-09-09
Company data provided by crunchbase