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. What You’ll Do
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
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 TensorRT 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
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
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. Job ID: 102680
