Senior ISP Engineer
Job Location:
San Francisco, CA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Job Description
The Role
GM is developing the next generation of embedded platform software to deliverstate-of-the-artADASfeatures to our are looking for an expert Sr. Camera ISP Engineer to join our Autonomous Vehicleteam and help us build the best self-autonomous system in the this position you will be part of theAutonomy Interface Software team whichis responsible fordeveloping cameradata pipelinesfor autonomous vehicles. You will interact with camera hardware engineers embedded software engineers systems engineersEmbodied AIengineers technical program managers internally and variousexternalimagercomponentvendorsto ensure high-quality cameras are designed manufactured and will be working closely with an embedded software team to enable Camera ISP functionality on new you are looking to solve one of todays 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.
WhatYoullDo
Responsible for delivering Camera Image Signal Processing (ISP) tuningoptimizedfor autonomous vehicle use-cases
Work closely with cross-functional teams and external vendors on specifications system definition software development and image quality tuning and evaluation
Design and execute comprehensiveobjectiveand subjective image quality evaluations using lab charts and real-world scenes selectingappropriate metricsand analyses for eachleveragingtools such asImatestand other chart/scene-based analysis methods and developing GM-specific test scripts and IQ specification analysis tools.
Solid understanding of image sensorstooptimizeHDR sensor configurations and ISP settings for autonomous driving scenarios aligningobjectivesand success metrics across EAI system and sensor teams.
Work with sensor validation and vehicle fleet teamsto performISP characterization image qualitytuningand evaluation and troubleshootimage quality related issues
Collaborate with machinelearningengineersand hardware teams to architect sensing strategy for autonomous vehicles at scale
Innovate new techniques and conduct studies inoptimizingISP and performance for machineperception
Your Skills & Abilities (Required Qualifications)
BS MS/ PhD in imaging science EE CS or similar field with4 years of hands-on experience in camera ISP tuning and evaluation
Must have hands-on experiencetuningvarious 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 preferablyImatest
Proficiencyin programming languages like C/C or Python
Experience in image processing and data analysis
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience with automotive ISP tuning is a big plus
Exposure to firmware design and/or real-time systems
Experience with vendor management and manufacturing processes
Hands-on experienceoptimizingimage sensorlevel IQ settings and operating modes to balance noise dynamic range motion blur and artifacts for ADAS/autonomous use cases.
Experience with optimizing camera ISP for computer vision algorithms or Machine Learning.
Experience evaluating how sensor hardware and optical design impact image quality and ISP tuning trade-offs.
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: $174900 - $250200 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.
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Required Experience:
Senior IC
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