Technical Lead Manager, Sensing Systems Design, Validation

General Motors

. Set technical direction for sensing-system evaluation frameworks .

Posted 10/3/2026full-timeSunnyvale • California • United StatesSenior💰 $189,300 - $290,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading the integration of sensor models and simulation environments for autonomous driving, with strong programming skills in C++ and Python. Proficient in machine learning workflows and statistical analysis to enhance sensor performance and system safety.

Highest-signal resume keywords

C++ ProgrammingPython ProgrammingMachine Learning FrameworksSensor IntegrationTechnical Leadership

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Hard Skills

Software EngineeringSystems EngineeringData ProcessingStatistical AnalysisSimulation DesignModel TrainingPerformance EvaluationScenario-Based TestingFailure AnalysisData Augmentation

Soft Skills

CommunicationTeam LeadershipMentoringProblem SolvingCollaboration

Tools & Technologies

PyTorchTensorFlowROSLinuxCloud Data PlatformsSQLBigQueryContinuous IntegrationDashboardsAutomated Workflows

Industry Keywords

Autonomous VehiclesRoboticsSafety-Critical SystemsSensor CalibrationMultimodal FusionAdverse-Condition TestingData VisualizationEngineering ProductivityTechnical ReviewsCross-Domain Initiatives

Tech Stack

Tools & technologies

BigQueryCloudLinuxPythonPyTorchSQLTensorflowC++

About the role

Key responsibilities & impact

Set technical direction for sensing-system evaluation frameworks
Lead integration of camera, LiDAR, RADAR, and sensor models into simulation and evaluation environments
Build statistical and empirical methods for sensor and perception performance analysis
Generate and manage synthetic data from road-data replay, simulation, and scenario-generation pipelines
Design data augmentation and scenario coverage for nighttime, rain, snow, fog, contamination, cleaning, occlusion, glare, and other degraded conditions
Prepare synthetic and recorded datasets for model training, evaluation, regression testing, and failure analysis
Lead model retraining or pipeline demonstrations when needed
Integrate new sensor components and sensing architectures into the autonomous-driving software stack
Define developer tools including APIs, command-line tools, notebooks, automated workflows, and dashboards
Develop evaluation metrics and reporting connecting sensor performance to system requirements and safety objectives
Lead technical reviews and cross-domain initiatives from requirements through adoption
Improve software architecture, test coverage, data quality, automation, and engineering productivity
Mentor engineers and raise standards for software quality and experimental rigor
Hire, coach, develop, and retain a high-performing engineering team while maintaining hands-on technical leadership

Requirements

What you’ll need

Bachelor’s degree in computer science, computer engineering, electrical engineering, systems engineering, robotics, mathematics, or a related technical field
Ten or more years of progressive experience in software engineering, systems engineering, machine learning, perception, robotics, autonomous vehicles, or a related field
Minimum of 1 year of experience leading a small team of engineers
Experience leading complex technical initiatives across multiple engineering disciplines
Experience designing, building, or integrating simulation, evaluation, validation, or data-processing systems in autonomy, robotics, automotive, aerospace, or another safety-critical domain
Strong programming ability in C++ and Python
Experience with machine learning workflows and at least one modern machine learning framework, such as PyTorch or TensorFlow
Understanding of camera, LiDAR, RADAR, or multimodal sensing systems
Experience using data, statistics, and structured experimentation to evaluate system behavior and identify failure modes
Ability to communicate complex technical concepts clearly
Ability to work independently in ambiguous problem spaces and deliver measurable results
Experience with iterative software development, code review, testing, version control, and agile planning
Demonstrated experience leading, coaching, or managing engineers
Preferred: Master’s degree or Ph.D. in computer science, engineering, robotics, mathematics, or a related technical discipline
Preferred experience with autonomous-vehicle perception and machine-learning models, adverse-condition sensor degradation, sensing architectures, synthetic data, scenario-based testing, sensor calibration, computer vision, multimodal fusion, safety-critical verification and validation, ROS, Linux, containers, continuous integration, distributed computing, cloud data platforms, metrics, dashboards, SQL/BigQuery, data visualization, statistical analysis, scalable sensor-data processing, and supplier or research partnerships

Benefits

Comp & perks

Incentive pay program with payouts based on company performance, job level, and individual performance
Company vehicle evaluation program, subject to successful motor vehicle report review
Potential relocation benefits
General Motors benefits and Total Rewards resources
Reasonable workplace accommodations