Senior Embedded ML Engineer - Vision

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. 

About the Team 

The Feature Development team is seeking a Senior Embedded ML Engineer - Vision with a strong background in computer vision, embedded hardware, and ML model deployment to join our cross-functional engineering team. In this role, you will develop, optimize, and deploy machine learning models for perception systems used in autonomous driving. You’ll be responsible for designing robust algorithms, integrating ML solutions on embedded platforms, and ensuring high performance and reliability in real-world environments. 

What You’ll Be Doing 

• Design and develop machine learning and computer vision algorithms for object detection, segmentation, tracking, and sensor fusion in autonomous driving. 

• Deploy and optimize ML models on embedded systems, including GPUs and custom hardware accelerators (e.g., NVIDIA Jetson, Xavier, or equivalent). 

• Collaborate with hardware, software, and perception teams to align ML solutions with system constraints and real-time requirements. 

• Profile and optimize ML pipelines for latency, memory usage, and power consumption in embedded environments. 

• Conduct research and stay up to date with the latest advances in deep learning, computer vision, and embedded AI. 

• Mentor junior engineers and contribute to technical leadership within the team. 

• Participate in code reviews, architecture discussions, and system integration planning. 

• Test and validate models in simulation and real-world autonomous driving scenarios. 

What You Need to Succeed 

• Master’s in Computer Science, Electrical Engineering, or related field with 6+ years of AV related industry experience 

• Expertise with Python and C++ 

• Proficiency in PyTorch, CUDA and TensorRT 

• Strong foundation in computer vision and deep learning frameworks 

• Experience deploying real-time models on embedded hardware (e.g., NVIDIA Jetson, Orin) 

• Collaborative skills and experience working across hardware, software, and autonomy functions in agile settings. 

Bonus Points 

• PhD in Computer Vision, Imaging, AI, or related field. 

• Fundamentals of image signal processing 

• Familiarity in synthetic data, augmentation, and handling edge cases in ML. 

• Experience with sensor calibration. 

• Familiarity with automotive or embedded safety standards (e.g., ISO 26262). 

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 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

• 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. 

Job ID: R-102365