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About the Role

GM is developing the next generation of embedded platform software for state-of-the-art ADAS features. This role involves developing camera data pipelines for autonomous vehicles, interacting with internal and external teams to ensure high-quality camera design, manufacturing, and tuning, and enabling Camera ISP functionality on new hardware.

Responsibilities

• Deliver Camera Image Signal Processing (ISP) tuning optimized for autonomous vehicle use-cases.
• Collaborate with cross-functional teams and external vendors on specifications, system definition, software development, and image quality tuning and evaluation.
• Design and execute comprehensive objective and subjective image quality evaluations using lab charts and real-world scenes, selecting appropriate metrics and analyses.
• Leverage tools such as Imatest and other chart/scene-based analysis methods.
• Develop GM-specific test scripts and IQ specification analysis tools.
• Optimize HDR sensor configurations and ISP settings for autonomous driving scenarios, aligning objectives and success metrics across EAI, system, and sensor teams.
• Perform ISP characterization, image quality tuning and evaluation, and troubleshoot image quality related issues with sensor validation and vehicle fleet teams.
• Architect sensing strategy for autonomous vehicles at scale with machine learning engineers and hardware teams.
• Innovate new techniques and conduct studies in optimizing ISP and performance for machine perception.

Requirements

• BS, MS/ PhD in imaging science, EE, CS, or similar field with 4+ years of hands-on experience in camera ISP tuning and evaluation.
• Hands-on experience tuning various ISP modules – AE, AWB, HDR processing, noise reduction and sharpness, tone mapping, and color tuning.
• Experience with different ISP architectures and camera development.
• Experience characterizing image sensors and tuning image sensor settings.
• Experience with at least one image quality evaluation software, preferably Imatest.
• Proficiency in programming languages like C/C++ or Python.
• Experience in image processing and data analysis.

Skills

• Camera ISP tuning
• Image quality evaluation
• Imatest
• C/C++
• Python
• Image processing
• Data analysis
• Automotive ISP tuning
• Firmware design
• Real-time systems
• Vendor management
• Manufacturing processes
• Image sensor optimization
• Computer vision algorithms
• Machine Learning

Location

• Hybrid

Work Type

• Hybrid
• Full-time

Experience Level

• 4+ years of hands-on experience

Education Level

• BS, MS/ PhD in imaging science, EE, CS, or similar field

Salary/Compensations

• $174,900 - $250,200

Benefits

• Medical
• Dental
• Vision
• Health Savings Account
• Flexible Spending Accounts
• Retirement savings plan
• Sickness and accident benefits
• Life insurance
• Paid vacation & holidays
• Relocation benefits

About the Company

• Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
• We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture.
• Every day, we want every employee to feel they belong to one General Motors team.

Equal Opportunity

• General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
• All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
• General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580.