Applied ML Engineer, II - GPU Optimization
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:
Torc's virtual driver software utilizes cutting-edge deep learning techniques to perceive the vehicle's environment, predict the movements of other vehicles, and execute accurate driving decisions. We are actively seeking an engineer to join our hardware acceleration team, with a focus on the optimization of advanced deep learning models used by our virtual driver software (i.e. the “brain” of our autonomous truck). This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by enhancing AI performance. We’re on the road today, come help us drive the future of freight.
What you'll do:
- Be a part of the team bringing L4 autonomous semi-trucks to market
- Work on the cutting edge of autonomy, optimizing deep learning models for execution on embedded NVIDIA GPUs
- Develop custom CUDA kernels and TensorRT plugins for perception and planning algorithms
- Collaborate with domain experts across the autonomy stack, influencing development, and helping deploy models to truck
- Identify and work to reduce system performance bottlenecks
- Be a good citizen of the engineering community, documenting work, reviewing code, participating in strategic discussions, etc.…
What you’ll need to Succeed:
- Relevant bachelor's degree with 5+ years of professional experience, or advanced degree
- Proficiency with C++14, and the ability to write robust, efficient, and clean code
- Experience with CUDA programming and parallelization of algorithms
- Experience writing TensorRT plugins
- Comfortable using collaborative development tools such as Git and Jira
- Strong written and verbal technical communication skills
- Positive, team player mindset
Bonus points!
- Autonomy or robotics experience
- Safety critical system development
- Experience with deep learning frameworks such as PyTorch or TensorFlow
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.
