ZipRecruiter

Log In

1

Adas Algorithm Engineer Jobs in California (NOW HIRING)

General Motors

Robotics Controls Engineer

Sunnyvale, CA

$138K - $211K/yr

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.

General Motors

Robotics Controls Engineer

Mountain View, CA · On-site

$138K - $211K/yr

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.

Qualcomm

Camera Systems Engineer

San Diego, CA · On-site

$99K - $149K/yr

Serve as a technical expert in architecture, algorithm, and feature decomposition , driving ... Android, ADAS, RTL design and verification, hardware modeling, embedded firmware, RTOS, ARM ...

next page

Showing results 1-20

All JobsAdas Algorithm Engineer JobsAdas Algorithm Engineer Jobs in California

Adas Algorithm Engineer information

See California salary details

$58.7K

$110.2K

$200.3K

How much do adas algorithm engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for adas algorithm engineer in California is $110,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $130,800.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an ADAS Algorithm Engineer, and why are they important?

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.

What are ADAS Algorithm Engineers?

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 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.

What are popular job titles related to Adas Algorithm Engineer jobs in California? For Adas Algorithm Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Adas Algorithm Engineer jobs in California look for? The top searched job categories for Adas Algorithm Engineer jobs in California are:
What cities in California are hiring for Adas Algorithm Engineer jobs? Cities in California with the most Adas Algorithm Engineer job openings:
Adas Algorithm Engineer jobs near you
GEO Semiconductor - ISP Firmware Engineer

GEO Semiconductor - ISP Firmware Engineer

Beyond SOF

San Jose, CA

$171K - $200K/yr

Other

Posted 9 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 eWARP 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

Apply