ADAS Fusion Performance Engineer

Job Description

As an ADAS Fusion Performance Engineer you will be responsible for developing optimizing and validating object fusion performance for GMs Advanced Driver Assistance Systems (ADAS). This senior individual contributor position focuses on how radars cameras lidar and other sensor modalities are fused and selected as relevant targets to deliver robust perception for safe confident vehicle behavior across environments and use cases. You will collaborate closely with feature performance engineers sensor performance engineers system engineers and software developers to ensure fusion outputs meet feature-level performance safety regulatory and customer experience targets.

Key Responsibilities

• 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 datadriven 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 onroad vehicles proving ground tests and virtual environments to identify performance gaps sensitivity to environmental factors and opportunities for algorithm or calibration improvements.
• Support crossfunctional technical discussions and reviews with ADAS software perception planning systems program teams safety and validation to drive alignment on fusion performance decisions and tradeoffs.
• 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.
• Travel as needed for development testing and performance buyoffs at proving grounds and key test locations.

Required Qualifications

• 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 postgraduate 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 handson 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 multidomain 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 timesynchronized 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).
• Strong oral and written communication skills with the ability to work effectively within multidisciplinary and crossfunctional teams often under minimal direction.
• Valid drivers license and ability to operate test vehicles.

Preferred Qualifications

• Masters degree in Electrical Engineering Computer Engineering Robotics or related field with focus on perception signal processing or sensor fusion.
• 7 years of overall engineering experience in automotive ADAS robotics perception or sensor fusion algorithm development and calibration.
• Direct experience in sensor fusion or perception algorithms (e.g. object detection tracking classification multi-sensor association) and their calibration/performance tuning.
• Prior experience as an Active Safety or Automated Driving Performance Calibration Engineer especially in areas such as Automatic Emergency Braking Object Fusion or Adaptive Cruise Control.
• Experience with virtual development and scenario-based testing including SIL/HIL environments and large-scale data replay or synthetic data generation for ADAS performance evaluation.
• Knowledge of DFSS / Six Sigma methods and structured problem-solving; DFSS Black Belt or similar training is a plus.
• Understanding of global vehicle development processes and exposure to production release launch and field performance monitoring.
• Familiarity with regulatory and safety considerations for ADAS features (e.g. FMVSS requirements and emerging ADAS-related regulations) and their impact on fusion and perception performance.

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