ML Engineer App Engine

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

Now part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

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.

• 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.

• Bachelor’s degree in Computer Engineering, Electrical Engineering, or Software Engineering, Computer Science or advanced degree with 1‑3 years experience.
• Experience with Embedded Software Development, especially with a focus on GPUs.
• Experience with Tensor
  
  RT and CUDA.
• Experience in the development of real‑time distributed systems.
• Profound knowledge of C++.
• Familiarity with machine learning technologies (e.g., PyTorch).
• Experience with Linux.

• 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.

• A competitive compensation package that includes a bonus component and stock options.
• 100% paid medical, dental, and vision premiums for full‑time employees.
• 401(k) plan with a 6% employer match.
• Flexibility in schedule and generous paid vacation (available immediately after start date).
• AD&D and 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

US Pay Range: $132,400 – $158,900 USD