Torc Robotics
Systems Engineer II – AD-Kit Components
About this role
Systems Engineer II role designing and architecting the vehicle electrical hardware systems for an Autonomous Driving Kit (AD-Kit) platform in autonomous trucking. You'll lead technical requirements, stakeholder collaboration, and system validation across embedded compute, sensors, power distribution, and safety-critical systems aligned with functional safety and cybersecurity standards.
What you'll do
- Develop core vehicle electrical hardware architecture meeting functional safety and security standards
- Lead stakeholder collaboration to ensure architecture supports program requirements
- Author, maintain, and analyze technical requirements across the product lifecycle
- Develop architecture variations to support Hardware-in-Loop (HIL) testing needs
- Perform root cause analysis and problem resolution during design, prototype, and production phases
- Stay current with industry trends and champion best practices with the team
What they're looking for
- Vehicle electrical architecture design
- Automotive ECU and methodology expertise
- Data bus protocols (CAN, PCIe, Ethernet, Automotive Ethernet, LIN, I2C)
- High-speed signaling and signal integrity
- Requirements Management Tools (Jama)
- Safety-critical systems engineering
- Hardware and software systems engineering
- Root cause analysis and problem-solving
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Torc Robotics
Torc Robotics develops autonomous driving software and systems for trucks. The company is hiring systems engineers, software engineers, and test automation specialists to build validation frameworks, integration environments, and web applications that ensure the reliability and quality of their autonomous vehicle technology.
- Website
- torcrobotics.com
Likely interview questions
- Describe your experience designing electrical architectures for safety-critical automotive systems and how you ensured compliance with functional safety standards.
- Walk us through a complex systems integration challenge you faced with multiple sensor modalities and embedded computes—how did you approach it?