Real-Time C++ Engineer - Autonomous Truck Interfaces

Torc Robotics, Inc.

Ann Arbor, Northern (MI, KY)

Hybrid

USD 139,000 - 167,000

Full time

2 days ago
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Benefits offered by this job

Stock options
Medical, dental & vision premiums (100
401K with 6% match
Flexible vacation & schedule
AD+D & Life Insurance

Job summary

Torc Robotics, Inc. is seeking a Mission Interface Software Engineer to deliver vehicle-intent software for autonomous trucks.

You will build real-time C++ components, work with Mission Control, Remote Assistance, and Route Advisor, and ensure end-to-end integration with perception, controls, and safety teams. You will mentor peers, drive software quality, and contribute to safety‑critical development practices while staying current with research in route planning and machine learning

Qualifications

  • Bachelor’s or Master’s in a related technical field with strong software fundamentals.
  • Experience with real‑time, safety‑critical, or high‑performance applications is essential.
  • Strong C++14/17+ programming skills required with embedded context.

Responsibilities

  • Design, implement, and optimize software interfacing Autonomy with Mission Control and other subsystems.
  • Lead real-time C++ software development for vehicle guidance and status monitoring.
  • Translate system requirements into robust software architectures and verification artifacts.

Skills

C++ real-time
Embedded software
RTOS
Code review & testing
Documentation

Education

Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering
Master’s Degree in Computer Science, Robotics, Electrical Engineering

Tools

ROS/ROS2
Autoware
CAN & Ethernet

Job description

Torc Robotics, Inc. is seeking a Mission Interface Software Engineer to deliver vehicle-intent software for autonomous trucks.

You will build real-time C++ components, work with Mission Control, Remote Assistance, and Route Advisor, and ensure end-to-end integration with perception, controls, and safety teams. You will mentor peers, drive software quality, and contribute to safety‑critical development practices while staying current with research in route planning and machine learning

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