Autonomy Systems Engineer – AD-Kit Platform

Torc Robotics; Ann Arbor (MI); On-site; USD 99,000 - 119,000; Full time

Job summary

Torc Robotics is seeking a Systems Engineer for the AD-Kit Systems Team in Ann Arbor to help design and deliver an autonomous driving kit for freight applications. You will own system requirements, drive architecture, and work across product lifecycle from bring-up to validation.

The role emphasizes functional safety, cybersecurity, and cross-functional collaboration with engineering and product teams. Expect hands-on hardware, software, and embedded compute work in a fast-paced environment.

Qualifications

• Bachelor's degree in Electrical, Hardware, Computer or Systems Engineering or related field.
• 0-3+ years of experience in systems engineering or autonomy compute systems.
• Excellent communication and teamwork skills.

Responsibilities

• Develop system requirements that meet functional safety and security standards.
• Maintain requirements databases using Jama, ensuring accuracy and traceability.
• Decompose product-level requirements into detailed autonomy system requirements.
• Support development of AD-Kit System functional architecture and integration plans.
• Drive problem solving, root cause analysis, and testing across the lifecycle.

Skills

System requirements

Communication

Hardware engineering

Software engineering

Autonomy compute

High-speed signaling

Signal integrity

C++

Python

Linux

Education

Bachelor's degree in Electrical Engineering / Hardware/Computer/Systems Engineering

Tools

Jama

PCIe

CAN

Ethernet

Automotive Ethernet

LIN

I2C

Job description

Torc Robotics is seeking a Systems Engineer for the AD-Kit Systems Team in Ann Arbor to help design and deliver an autonomous driving kit for freight applications. You will own system requirements, drive architecture, and work across product lifecycle from bring-up to validation.

The role emphasizes functional safety, cybersecurity, and cross-functional collaboration with engineering and product teams. Expect hands-on hardware, software, and embedded compute work in a fast-paced environment.