Senior Systems Engineer AD Kit Components
Torc RoboticsVisit Torc Robotics website
Torc Robotics is a Daimler Truck subsidiary developing Level 4 autonomous-driving software and systems for long-haul Freightliner Cascadia trucks.
Blacksburg, United States
About Torc Robotics
Founded in 2005 as Torc Technologies, Torc Robotics commercializes self-driving trucking technology, including its virtual-driver software, for freight operations.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the development of compute-platform system requirements and functional architecture for the AD-Kit system. You will maintain traceable requirements, translate product needs into autonomy system requirements, develop integration and test plans, and resolve issues during design, prototype, and production stages.
Requirements
- Bachelor's degree in Electrical Engineering, Hardware Engineering, Computer Engineering, Systems Engineering, or a related field and 6+ years of experience, or a Master's degree in a related field and 3+ years of experience.
- Communication and teamwork skills.
- Hands-on systems, hardware, and software engineering experience.
- Experience with safety-critical and fail-operational control systems.
- Understanding of automotive ECUs and methodologies.
- Experience with requirements management tools such as Jama.
- Familiarity with CAN, PCIe, Ethernet, Automotive Ethernet, LIN, and I2C data buses.
- Experience with high-speed signaling and signal integrity.
Responsibilities
- Lead the development of compute-platform system requirements aligned with functional safety and cybersecurity standards.
- Maintain accurate, traceable requirements databases using Jama.
- Interpret product-level requirements and decompose them into detailed autonomy system requirements.
- Lead development of the AD-Kit System functional architecture.
- Develop AD-Kit System integration and test plans.
- Champion industry trends, technologies, and best practices.
- Drive root-cause analysis and problem resolution during design, prototype, and production.