Manager, Engineering - Hardware Acceleration (CUDA)

Torc; Montreal; Hybrid; CAD 100,000 - 130,000; Full time

Job summary

A pioneering autonomous technology firm based in Montreal is seeking an Engineering Manager to lead their Hardware Acceleration group. This role requires extensive knowledge in CUDA and TensorRT, along with proven experience managing software engineering teams. You will drive technical execution, optimize ML inference pipelines, and cultivate a high-performing team within a safety-critical environment. Competitive compensation and comprehensive benefits are offered, including flexibility in scheduling and generous paid vacation.

Benefits

Competitive compensation package including bonus and stock options

Medical, dental, and vision for full-time employees

RRSP plan with a 4% employer match

Public Transit Subsidy (Montreal area only)

Flexibility in schedule and generous paid vacation

Company-wide holiday office closures

Life Insurance

Qualifications

• Proven experience leading software engineering teams with people management skills.
• Strong technical expertise in embedded inference workflows and safety-critical environments.

Responsibilities

• Lead development and optimization of ML inference pipelines on embedded hardware.
• Guide development of custom CUDA kernels for proprietary model layers.
• Set technical and operational goals aligned with company objectives.

Skills

CUDA

TensorRT

C++

ML frameworks (PyTorch/ONNX)

Linux development

Agile development

Education

Master’s degree in Computer Science, Electrical Engineering, or related field

Job description

Manager, Engineering - Hardware Acceleration (CUDA)

About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet the Team

The Hardware Acceleration team builds the embedded inference foundation that enables Torc’s deep learning models to run efficiently and reliably on production AV hardware. Our mission is to convert and optimize perception and planning models for NVIDIA-based embedded platforms, develop custom CUDA kernels and pre/post-processing pipelines, and deliver deterministic, high-performance inference capabilities for the autonomy stack. We work closely with Perception, Application Engine, Systems, and Hardware teams to ensure that optimized models integrate seamlessly into Torc’s real-time autonomy platform.

About the Role

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.

What You’ll Do

• 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.

What You’ll Need to Succeed

• 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.

Bonus Points

• 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.

Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English.

Perks of Being a Full-time Torc’r (Canada)

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 4% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Torc is committed to complying with applicable export control and technology transfer laws in the United States and the other countries where it operates. Sensitive information will be considered and protected in accordance with applicable export control and employment laws. Individuals with certain citizenship or residency may be subject to additional review and authorization requirements in accordance with U.S. and other applicable laws.