обновлено 5 дней назад
Senior Machine Learning Engineer (Camera ISP)
174 900 - 250 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (Camera ISP): Developing and tuning camera image signal processing pipelines for autonomous vehicles with an accent on HDR sensor configuration, image quality evaluation, and embedded camera software. Focus on optimizing ISP and sensor settings for machine perception, analyzing real-world image quality, and solving image-quality trade-offs across noise, dynamic range, motion blur, and artifacts.
Location: San Francisco, California, United States; hybrid attendance at a specific location at least three times per week. Travel required up to 25%. Relocation benefits are available for qualifying candidates.
Base compensation: $174,900–$250,200 per year, plus potential incentive pay.
Company
develops automotive technologies and autonomous driving systems focused on safer, more sustainable transportation.
What you will do
- Deliver Camera Image Signal Processing tuning optimized for autonomous vehicle use cases.
- Define specifications, develop software, and evaluate image quality with camera hardware, embedded software, systems, sensor, machine learning, and vendor teams.
- Design objective and subjective image quality evaluations using lab charts, real-world scenes, Imatest, and custom test scripts.
- Characterize image sensors and tune HDR configurations, ISP settings, and sensor operating modes for autonomous driving.
- Troubleshoot image quality issues with sensor validation and vehicle fleet teams.
- Architect sensing strategies and develop techniques to optimize ISP performance for machine perception.
Requirements
- BS, MS, or PhD in imaging science, electrical engineering, computer science, or a related field, with 4+ years of hands-on camera ISP tuning and evaluation experience.
- Hands-on experience with AE, AWB, HDR processing, noise reduction, sharpness, tone mapping, and color tuning.
- Experience with ISP architectures, camera development, image sensor characterization, and sensor settings.
- Experience with at least one image quality evaluation tool, preferably Imatest.
- Proficiency in C/C++ or Python, plus experience in image processing and data analysis.
- Hybrid work in San Francisco, California, with attendance required at least three times per week.
Nice to have
- Automotive ISP tuning experience.
- Exposure to firmware design or real-time systems.
- Experience with vendor management and manufacturing processes.
- Experience optimizing camera ISP and sensor settings for ADAS, autonomous driving, computer vision, or machine learning.
- Experience assessing optical and sensor hardware impacts on image quality and ISP trade-offs.
Culture & Benefits
- Health, dental, and vision coverage.
- Health Savings Account and Flexible Spending Accounts.
- Retirement savings plan, life insurance, and sickness and accident benefits.
- Paid vacation and holidays.
- Relocation benefits for candidates who qualify under company policy.
Hiring process
- Applicants may complete role-related assessments and pre-employment screening where applicable.
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