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General Motors

ADAS Fusion Performance Engineer

General Motors

ADAS Fusion Performance Engineer responsible for optimizing and validating object fusion at GM. Collaborating with engineers to ensure robust perception for advanced driver assistance systems.

Posted 5/10/2026full-timeMilford • Missouri • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Own fusion performance for assigned vehicle platforms from initiation through launch and field performance support.
  • Lead vehicle and simulation testing to characterize and develop fusion performance, including test design, data collection, test execution, and results analysis for a wide range of environments, traffic scenarios, and edge cases.
  • Develop and optimize fusion-related parameters utilizing big data, ensuring robust operation across vehicle lines and hardware variants, and delivering production-ready calibrations to programs on time.
  • Serve as the single-point technical contact for fusion performance root cause and issue resolution, including correlation between sensor-level behavior and fused object/scene outputs.
  • Collaborate with sensor performance engineers (radar, camera, lidar, etc.) to align sensor requirements and capabilities with fusion algorithm needs and feature performance targets.
  • Use simulation and data-driven methods (e.g., SIL/HIL, scenario-based testing, replay of recorded data) to evaluate, regress, and improve fusion algorithms and calibrations, complementing vehicle testing.
  • Analyze complex data sets from on-road vehicles, proving ground tests, and virtual environments to identify performance gaps, sensitivity to environmental factors, and opportunities for algorithm or calibration improvements.
  • Support cross-functional technical discussions and reviews with ADAS software, perception, planning, systems, program teams, safety, and validation to drive alignment on fusion performance decisions and trade-offs.
  • Support validation and verification activities for fusion-impacted features, such as Adaptive Cruise Control and Automatic Emergency Braking.
  • Document and communicate results, lessons learned, and issues; contribute to standardized methods, tools, and metrics for fusion performance within the broader ADAS organization and program milestones.

Requirements

What you’ll need
  • Bachelor of Science degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, Systems Engineering, Robotics, or a related STEM discipline.
  • Minimum of 5 years post-graduate professional engineering experience, preferably in ADAS, automated driving, perception/fusion, or closely related fields.
  • Demonstrated experience with vehicle or component/sensor development, integration, and diagnostics, including hands-on test, data logging, and analysis.
  • Strong understanding of sensor-based ADAS systems (e.g., radar, camera, lidar, ultrasonic, GNSS/IMU) and how they contribute to perception and feature behavior.
  • Ability to root cause complex, multi-domain problems involving sensors, perception/fusion algorithms, vehicle dynamics, and feature logic.
  • Experience with complex vehicle instrumentation and data acquisition, including configuration of loggers and interpretation of time-synchronized sensor and vehicle data.
  • Familiarity with automotive communication networks such as CAN, GMLAN, and Ethernet, and associated tools for data inspection and debugging.
  • Proficiency with engineering and data analysis tools commonly used in ADAS development (e.g., MATLAB/Simulink, Python, INCA/MDA, CAN tools such as Canalyzer or VSpy).
  • Valid driver’s license and ability to operate test vehicles.

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

ATS Keywords

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Hard Skills & Tools
fusion performancetest designdata collectiontest executionresults analysisbig datasensor-based ADAS systemsroot cause analysisvehicle instrumentationdata acquisition
Soft Skills
collaborationproblem-solvingcommunicationtechnical discussioncross-functional teamwork
Certifications
Bachelor of Science degree in Electrical EngineeringBachelor of Science degree in Mechanical EngineeringBachelor of Science degree in Computer EngineeringBachelor of Science degree in Computer ScienceBachelor of Science degree in Systems EngineeringBachelor of Science degree in Robotics