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Adas Algorithm Engineer Jobs in California (NOW HIRING)

Lyte

Senior Camera & Vision Engineer

Sunnyvale, CA · On-site

$150K - $300K/yr

This role sits at the intersection of hardware, algorithms, and software, with a strong focus on ... Experience in robotics, autonomous systems, AR/VR, or advanced driver assistance systems (ADAS)

Qualcomm

Principal Engineer/Manager

San Diego, CA · On-site

... ADAS/Autonomous driving. Additionally, the team will be responsible for enhancing the speed ... A strong knowledge of machine learning algorithms, particularly those related to automotive use ...

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$58.7K

$110.2K

$200.3K

How much do adas algorithm engineer jobs pay per year?

As of Jun 1, 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.

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.

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 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
Senior Systems Software Engineer - Autonomous Vehicles

Senior Systems Software Engineer - Autonomous Vehicles

NVIDIA

Santa Clara, CA

$142.80K - $188.20K/yr

Other

Posted 8 hours ago

Job description

Our ADAS Platform team is responsible for building a scalable and modular software stack that powers advanced driver-assistance systems across a diverse range of product lines and OEMs. We are looking for a highly motivated Senior Software Systems Engineer with a strong foundation in software architecture. This role is ideal for someone who thrives on working across multiple layers of the software stack to drive modularization, improve abstraction, and enable extensibility and reuse. You will play a key role in evolving the platform to support efficient integration and scalability in a complex multi-OEM environment.

What you will be doing:

  • Driving architectural improvements that simplify and modularize the software stack.

  • Designing clean boundaries between NVIDIA core components and OEM-specific implementations.

  • Refactoring ADAS components to support reuse, extensibility, and long-term maintainability.

  • Improving system-level scalability through IPC, middleware, and platform abstraction layers.

  • Partnering with teams across software, systems, and hardware to define clear interfaces and improve integration velocity.

  • Establishing test coverage, design reviews, and architectural documentation that scales with the platform.

  • Profiling and tuning system performance — optimizing for modern multi-core and real-time environments.

What we need to see:

  • BS or MS in Computer Engineering, Computer Science, or a related field (or equivalent experience).

  • 8+ years of professional software development experience.

  • Solid background in C and C++ programming.

  • Strong understanding of modular software architecture, clean code design, and separation of concerns.

  • Hands-on experience building and debugging multithreaded, real-time, or performance-critical systems.

  • Familiarity with parallel/distributed systems and low-level system profiling.

  • Comfortable working in Linux, QNX, or other embedded RTOS environments.

  • Exceptional communication skills and a collaborative, hard-working attitude.

Ways to Stand Out From The Crowd:

  • Experience developing ADAS software.

  • Deep understanding of real-time operating systems, particularly QNX.

  • Familiarity with the automotive software lifecycle and integration across safety-critical systems.

  • Experience using Git and Bazel in large-scale software environments.

  • Ability to work across system, hardware, and algorithm teams with precision and clarity.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .

Applications for this job will be accepted at least until May 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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