ML Engineer, II - App Engine
External
Torcrobotics · Ann Arbor, CanadaPrepare for this interview
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About the role
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 mission of the Application Engine Team is to provide a robust, efficient, and flexible platform for integrating and managing various deep learning models and processes in the context of L4 autonomous trucking. It aims to streamline development workflows, enhance team efficiency, and ensure consistent performance and safety standards. The Application Engine focuses on facilitating the creation of scalable, reproducible, and safety-compliant components, enabling feature teams to efficiently develop and deploy advanced autonomous driving features.
Responsibilities
- Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
- Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip
- Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
- SDK Feature development to support the creation of Virtual Driver Software
- Support Virtual Driver Division with their usage of the Application Engine
- Creation of high-quality code including test case development
- What You'll Need to Succeed
- Experience with Embedded Software Development, especially with a focus on GPUs
- Experience with TensorRT and CUDA
- Experience in the development of real-time distributed systems
- Profound knowledge of C++ and state of the art design principles
- Familiarity with machine learning technologies (e.g. PyTorch)
- Experience with Linux
- Degree: Masters in Computer Science or Electrical Engineering
- Bonus Points
- Experience developing SDK's for complex embedded systems, especially those featuring GPUs or multiple SOCs.
- Experience in autonomous robotic or vehicle systems.
- Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.
- 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
- 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)
- AD+D and Life Insurance
- Job ID: 102580
- Hiring Range for Job Opening
- US Pay Range
- $153,200 - $183,800 USD
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