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Adas Algorithm Engineer Jobs in Sunnyvale, CA (NOW HIRING)

Planning Engineer

San Francisco, CA ยท On-site

$175K - $300K/yr

Design and implement motion planning algorithms for off-road ATV navigation. * Integrate waypoints ... Understanding of ADAS/AD systems and vehicle dynamics is a plus Benefits: * We provide market ...

Planning Engineer

San Francisco, CA ยท On-site

$150 - $200/hr

Design and implement motion planning algorithms for off-road ATV navigation. * Integrate waypoints ... Understanding of ADAS/AD systems and vehicle dynamics is a plus * We provide market standard ...

Implement, test, and refine optimization and control algorithms for trajectory tracking, constraint ... Industry or research experience in robotics, autonomous vehicles, ADAS, or safety-critical systems.

Showing results 41-60

Adas Algorithm Engineer information

See Sunnyvale, CA salary details

$69.8K

$131K

$238.3K

How much do adas algorithm engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for adas algorithm engineer in Sunnyvale, CA is $131,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $155,500.00 per year, depending on experience, location, and employer.

What is an ADAS Algorithm Engineer?

ADAS Algorithm Engineers are professionals who design, develop, and optimize algorithms for Advanced Driver Assistance Systems (ADAS) used in vehicles. Their work involves creating software that enables features like adaptive cruise control, lane keeping assistance, automatic emergency braking, and more. They use sensor data from cameras, radar, and lidar to interpret the vehicle's surroundings and make real-time driving decisions. These engineers typically have backgrounds in computer science, electrical engineering, or related fields, and are skilled in areas such as machine learning, signal processing, and embedded systems.

What are the key skills and qualifications needed to thrive as an ADAS Algorithm Engineer?

To excel as an ADAS Algorithm Engineer, you need a strong background in computer vision, machine learning, sensor fusion, and a relevant engineering degree. Experience with programming languages like C++ and Python, as well as expertise in tools such as MATLAB, ROS, and automotive simulation platforms, is typically required. Strong problem-solving skills, attention to detail, and effective teamwork are essential soft skills for this role. These skills ensure the development of reliable and innovative advanced driver-assistance systems crucial for vehicle safety and automation.

How does an ADAS Algorithm Engineer typically collaborate with cross-functional teams during the development cycle?

ADAS Algorithm Engineers often work closely with hardware engineers, software developers, and systems integrators throughout the development process. They collaborate to ensure that algorithms for functions like lane keeping, adaptive cruise control, or emergency braking integrate seamlessly with vehicle sensors and hardware. Regular meetings and code reviews are common, as is joint validation of algorithm performance on both simulation platforms and real vehicles. This collaborative approach ensures safety standards are met and project milestones are achieved efficiently.

What is the difference between Adas Algorithm Engineer vs Sensor Fusion Engineer?

AspectAdas Algorithm EngineerSensor Fusion Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; experience with automotive systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systems
Work EnvironmentAutomotive industry, R&D labs, embedded systemsAutomotive and robotics industries, embedded and software development
Employer & Industry UsageAutomotive OEMs, Tier 1 suppliers, autonomous vehicle companiesAutomotive OEMs, sensor manufacturers, autonomous vehicle developers

Both roles focus on automotive sensor systems, but Adas Algorithm Engineers primarily develop algorithms for driver assistance features, while Sensor Fusion Engineers integrate multiple sensor data sources for accurate environment perception. The roles often overlap but differ in their core focus areas within autonomous driving technology.

How much do ADAS Algorithm Engineers make?

ADAS Algorithm Engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in computer vision and sensor fusion can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some organizations.

What are popular job titles related to Adas Algorithm Engineer jobs in Sunnyvale, CA?

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What job categories do people searching Adas Algorithm Engineer jobs in Sunnyvale, CA look for?

The top searched job categories for Adas Algorithm Engineer jobs in Sunnyvale, CA are:

What cities near Sunnyvale, CA are hiring for Adas Algorithm Engineer jobs?

Cities near Sunnyvale, CA with the most Adas Algorithm Engineer job openings:

GEO Semiconductor - ISP Firmware Engineer

Beyond SOF

San Jose, CA โ€ข On-site

$171K - $200K/yr

Full-time

Re-posted 29 days ago


Job description

ISP Firmware Engineer
Experience level: Mid-senior
Experience required: 5 Years
Education level: Bachelor's degree
Job function: Information Technology
Industry: Semiconductors
Compensation: $171,000 - $200,000
Total position: 1
Relocation assistance: Yes
Visa : Only US citizens and Greencard holders

About GEO Semiconductor
GEO Semiconductor (GEO), headquartered in San Jose, CA, is an industry leader in delivering programmable camera video processors to the rapidly growing automotive camera market. GEO's products feature advanced image signal processing, unique eWARPยฎ processing technology, and state of the art neural network-based computer vision solutions. GEO ships camera video processors in diverse automotive applications such as ADAS, autonomy, in-cabin monitoring, digital mirrors, smart backup and augmented reality cameras.
POSITION DETAILS:
Located in the San Jose headquarters, you will have the following responsibilities:
  • Design, develop, verify and optimize 3A firmware algorithms on GEO's high-performance ICs
  • Architect and implement real-time control firmware for ISP pipeline blocks including image enhancement, noise reduction, high dynamic range and other image processing tasks
  • Support integration of image sensor configurations into GEO's embedded real-time environment
  • Support GEO's Image Quality and Application Engineering teams to realize customer productization of GEO ISPs in human and machine vision automotive applications
  • Continually improve GEO's embedded software while supporting lab validation environments for competitive benchmarking and Image Quality (IQ) enhancements
  • Write training materials and documentation for applications engineers and customers

REQUIRED QUALIFICATIONS
  • BS, MS or PhD degree in imaging science, EE, CS, physics or equivalent years of on-the-job experience
  • Strong programming skills in C/C++ (must-have) and MATLAB/Python (good-to-have)
  • Prior professional hands-on experience successfully implementing embedded firmware solutions with real-time constraints in the field of image processing.
  • Expertise in ISP imaging pipelines, HDR architectures, color science and image quality metrics
  • Data driven mindset, scientific methodology and hands-on experimental abilities