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Senior ISP Engineer

General Motors
Posted a day ago, valid for 21 days
Location

San Francisco, CA, US

Salary

$174,900 - $250,200 per year

Contract type

Full Time

Health Insurance
Life Insurance
Flexible Spending Account

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Job Description

The Role

GM is developing the next generation of embedded platform software to deliverĀ state-of-the-artĀ ADASĀ features to our customers.Ā We are looking for an expert Sr. Camera ISP Engineer to join our Autonomous VehicleĀ team and help us build the best self-autonomous system in the world. In this position, you will be part of theĀ Autonomy Interface Software team, whichĀ is responsible forĀ developing cameraĀ data pipelinesĀ for autonomous vehicles. You will interact with camera hardware engineers, embedded software engineers, systems engineers,Ā Embodied AIĀ engineers, technical program managers internally, and variousĀ externalĀ imagerĀ componentĀ vendorsĀ to ensure high-quality cameras are designed, manufactured, and tuned.Ā Ā You will be working closely with an embedded software team to enable Camera ISP functionality on new hardware.Ā Ā If you are looking to solve one of today’s most complex engineering challenges, see the results of your work in hundreds of self-driving cars, and make a positive impact in the world, join us.Ā 

Ā 

WhatĀ You’llĀ DoĀ Ā Ā Ā 

  • Responsible for delivering Camera Image Signal Processing (ISP) tuningĀ optimizedĀ for autonomous vehicle use-casesĀ Ā 

  • Work closely with cross-functional teams and external vendors on specifications, system definition, software development, and image quality tuning and evaluationĀ 

  • Design and execute comprehensiveĀ objectiveĀ and subjective image quality evaluations using lab charts and real-world scenes, selectingĀ appropriate metricsĀ and analyses for each,Ā leveragingĀ tools such asĀ ImatestĀ and other chart/scene-based analysis methods, and developing GM-specific test scripts and IQ specification analysis tools.Ā Ā 

  • Solid understanding of image sensorsĀ toĀ optimizeĀ HDR sensor configurations and ISP settings for autonomous driving scenarios, aligningĀ objectivesĀ and success metrics across EAI, system, and sensor teams.Ā 

  • Work with sensor validation and vehicle fleet teamsĀ to performĀ ISP characterization, image qualityĀ tuningĀ and evaluation, and troubleshootĀ image quality related issuesĀ 

  • Collaborate with machineĀ learningĀ engineersĀ and hardware teams to architect sensing strategy for autonomous vehicles at scaleĀ 

  • Innovate new techniques and conduct studies inĀ optimizingĀ ISP and performance for machineĀ perceptionĀ 

Ā 

Your Skills & Abilities (Required Qualifications)    

  • BS, MS/ PhD in imaging science, EE, CS, or similar field withĀ 4+ years of hands-on experience in camera ISP tuning and evaluationĀ 

  • Must have hands-on experienceĀ tuningĀ various ISP modules – AE, AWB, HDR processing, noise reduction and sharpness, tone mapping, and color tuningĀ 

  • Experience with different ISP architectures and camera developmentĀ 

  • Experience characterizing image sensors and tuning image sensor settingsĀ 

  • Experience with at least one image quality evaluation software, preferablyĀ ImatestĀ 

  • ProficiencyĀ in programming languages like C/C++ or PythonĀ 

  • Experience in image processing and data analysisĀ 

What Will Give You a Competitive Edge (Preferred Qualifications)    

  • Experience with automotive ISP tuning is a big plusĀ 

  • Exposure to firmware design and/or real-time systemsĀ 

  • Experience with vendor management and manufacturing processesĀ 

  • Hands-on experienceĀ optimizingĀ image sensor–level IQ settings and operating modes to balance noise, dynamic range, motion blur, and artifacts for ADAS/autonomous use cases.Ā 

  • Experience with optimizing camera ISP for computer vision algorithms or Machine Learning.Ā Ā 

  • Experience evaluating how sensor hardware and optical design impact image quality and ISP tuning trade-offs.Ā 

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

  • Compensation: The expected base compensation for this role is: $174,900 - $250,200 Actual base compensation within the identified 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: 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.

#LI-EL1

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About GM

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.

Why Join UsĀ 

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.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

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.Ā 

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

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