Job Description

Role Overview

The ADS Software Engineer plays a key role in delivering GM’s Assisted Driving and Active Safety (ADAS) product portfolio. This role focuses on developing high-quality, production-ready software that enables advanced perception, decision-making, and vehicle control capabilities. Senior-level engineers are expected to demonstrate strong technical leadership, operate with a high degree of autonomy, and drive cross-team initiatives across software, systems, and product domains. GM’s Object Fusion and perception capabilities are foundational to autonomous and assisted driving features. The software developed in this role directly enables vehicles to sense their surroundings, respond intelligently, and help keep drivers and passengers safe—advancing GM’s mission to deliver autonomy at scale.

“GM has long been defined by innovation at massive scale with products you can trust. Our work in autonomy builds on that legacy to deliver safe, intuitive, self-driving technology to millions around the world.” – Sterling Anderson

Key Responsibilities

Design, develop, and maintain ADS/ADAS software solutions supporting GM’s production and future autonomy platforms
Contribute to the Object Fusion pipeline by integrating and fusing data from multiple sensor modalities (e.g., camera, radar, lidar, ultrasonics) to form an accurate and reliable understanding of the driving environment
Translate system-level requirements into robust, scalable software architectures and algorithms
Lead perception solutions that support multi-disciplinary efforts like planning, controls, validation, and vehicle integration teams
Mentor and guide junior engineers through technical reviews, best practices, and hands-on collaboration
Drive continuous improvement in software quality, safety, performance, and development processes
Support safety-critical development practices aligned with automotive standards and production release requirements
Communicate technical concepts clearly to non-technical stakeholders.

Requirements

Bachelors degree in Computer Science or Engineering (Electrical, Computer, Mechatronics, System Design, Mechanical, Chemical or equivalent)
Knowledge of ADAS/ADS concepts, automotive perception systems, or real-time embedded platforms
5+ years experience with the architect, design, and implementation of embedded software solutions leveraging these aspects:
- Producing scalable code in C, C++, or Simulink
- Optimizing code for speed, memory usage, etc.
- Validating the solutions by means of unit and/or systems level testing
- Creating technical documentation to communicate solutions

Domain Qualifications that Provide A Competitive Advantage

Familiarity with AV/ADAS products, in particular GM product offerings
Knowledge of communication protocols like CAN and Ethernet.
Experience with signal processing filtering methodologies
Experience of Kalman filtering design and data association strategies
Experience with embedded code topics like data coherency, data buffering, serial data parsing
Application of data validation pipelines and processes used to test code
Proficient with SW management tools (GitHub, Jira, VS Code, etc)
Proficient with data analysis tools (Matlab, python, etc)
Can execute testing on various test platforms; vehicle, hardware-in-the-loop and/or software-in-the-loop testing.
Understanding of GM program management processes: GVDP, Cal/Val Milestones, STAGES, PRTS/GIMS, Agile, Systems taxonomy and release, FMEA, Doors Next Gen
Understanding of general Validation processes: feature validation planning, delta validation planning, CG3000, CG6113





This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

The selected candidate will be required to travel <25% for this role.

This job may be eligible for relocation benefits.



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