Description

General Motors is developing hands-off and eyes-off autonomous driving systems intended for broad deployment across consumer vehicles. As part of this effort, GM is investing in sensors and architectures that can be integrated, validated, and operated reliably at scale across diverse vehicle programs and operating environments.

We are seeking a Senior Sensor Validation Engineer with deep expertise in sensor physics and hands-on validation methodologies. In this role, you will bridge the gap between low-level hardware performance and high-level vehicle integration. You will develop sensor characterization plans to assess detailed characteristics of sensors, evaluate sensor response, and drive on-vehicle validation campaigns to ensure robust perception across all driving modalities.

You’ll have the opportunity to work cross-functionally with hardware, vehicle, perception, simulation, and other stakeholders to develop, execute, and analyze validation campaigns. This includes the development of vehicle level campaigns to ensure performance and functionality is meeting stakeholder and product needs.

benchtop setups, specialized test labs, and data-collection vehicles at our Detroit and Milford locations, with travel to external testing facilities as needed.

What You'll Do

Develop comprehensive characterization plans to inform the next generation of sensors, including camera, lidar, and radars with quantitative evaluation
Develop vehicle validation tests to ensure performance and safety across autonomous driving environments and behaviors
Plan and execute on-vehicle data collection campaigns on closed courses and public roads to evaluate sensor integration and performance
Evaluate low-level sensor performance metrics, including signal-to-noise ratio (SNR), dynamic range, optical distortion, point cloud density, and radar cross-section (RCS) accuracy
Transition validated sensor modules from bench setups to vehicle platforms, analyzing physical placement, field-of-view (FOV) overlap, keep-out zone (KOZ) constraints, and other metrics
Partner cross-functionally with perception, and hardware design teams to root cause system-level anomalies

Your Skills & Abilities

Bachelor's degree in Electrical Engineering, Optical Engineering, Computer Engineering, or a related technical discipline. Work equivalent experience
5+ years of dedicated experience in sensor validation, characterization, or test engineering across optical, lidar, or radar systems
Demonstrated ability to design vehicle level validation tests
Experience with L4 (or equivalent) autonomous vehicles and associated behaviors, challenges, and validation needs
Strong domain knowledge of sensor physics principles (e.g., optics, electromagnetics, wave propagation, photonics, and signal processing)
Experience using a component-level test equipment and lab facilities, such as darkrooms, collimators, target boards, anechoic chambers, target generators or other related equipment
Hands-on experience conducting both benchtop characterization and on-vehicle validation, including data collection and physical integration constraints (FOV, KOZ, ISP tuning)
Understanding of sensor calibration, time synchronization (PTP/gPTP), and sensor fusion concepts
Proficiency in data analysis and programming languages (e.g., Python, MATLAB) for processing sensor data and evaluating metrics

What Will Give You a Competitive Edge (Preferred Qualifications)

Advanced degree (Master's or Ph.D.) specializing in Optics, Electromagnetics, Physics, or Sensing Technologies
Experience with automated test bench design, darkroom setup, or customized sensor validation rigs
Knowledge of ISP development pipelines, radar signal processing algorithms, or lidar point cloud generation techniques
Experience supporting L4 autonomous driving sensor suites and perception stack integrations

Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is 153,200 to 234,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits:

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Ce poste est hybride. Cela signifie que le candidat retenu doit se rendre sur un site donné au moins trois fois par semaine {ou à une autre fréquence imposée par son supérieur hiérarchique}.

Des avantages de relocalisation sont offerts aux candidats qui répondent aux critères de l'entreprise.

Renseignements sur la diversité

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Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi. Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant.

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.