Senior Software Engineer – AV​/ADAS Object Fusion

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

• 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
• 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 (Git Hub, 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.