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Adas Algorithm Engineer Jobs in California (NOW HIRING)

ADAS Data Engineer

Newark, CA

$154K - $211.75K/yr

We are seeking a skilled ADAS Sensor Data Engineer to join our innovative automotive technology ... Develop and maintain software tools and algorithms for sensor data processing using C++ and Python.

Responsibilities : • Development of new computer vision algorithms for sensing applications • ... ADAS, Robotics, Signal Processing etc. or equivalent experience • Strong python programming ...

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Showing results 1-20

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 May 31, 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:
Staff Software Engineer - ADAS Visual Experience

Staff Software Engineer - ADAS Visual Experience

General Motors

Sunnyvale, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers


Job description

Job Description

Job Summary

We are seeking a Level 8 Staff Software Engineer to lead complex Android Automotive and 3D visualization software for ADAS HMI experiences. This role backfills a senior technical leadership scope covering signal-driven ADAS visualization, Android services, rendering performance, and cross-team architecture execution.

The ideal candidate is a recognized technical expert who can operate with broad latitude in a complex environment: defining system architecture, decomposing ambiguous product requirements, driving multi-team execution, and holding the team accountable for high-quality delivery across vehicle programs.

Job Responsibilities
  • Lead architecture, design, and delivery of Android Automotive software for ADAS HMI, camera/recording controls, and signal-driven visualization features.

  • Define end-to-end system designs spanning Android Automotive UI, Android services, SoC middleware, ADAS data services, perception interfaces, platform integration, and vehicle signal inputs.

  • Design and evolve 3D rendering capabilities for real-time ADAS visualization, including scene composition, rendering pipelines, asset/data integration, performance optimization, and stability under vehicle resource constraints.

  • Own complex multi-team workstreams from concept through production release, including architecture reviews, technical decomposition, milestone planning, risk management, validation, and launch support.

  • Translate ambiguous product, design, safety, and system requirements into practical software designs with clear interfaces, failure modes, test strategy, and operational ownership.

  • Drive cross-functional alignment with ADAS algorithm, perception, infotainment, cluster, data recording, safety, product, and vehicle integration partners.

  • Establish engineering practices that raise quality across Android Automotive and rendering codebases, including performance benchmarks, release gates, automated validation, and field-issue triage.

  • Debug and resolve complex issues across the signal-to-pixel path, including Android lifecycle/service behavior, IPC, concurrency, rendering latency, memory pressure, GPU/CPU contention, and vehicle integration defects.

  • Mentor senior and mid-level engineers on Android Automotive architecture, 3D rendering trade-offs, system design, execution discipline, and cross-team technical leadership.

  • Communicate technical direction, risks, trade-offs, and delivery status clearly to engineering leadership and cross-functional stakeholders.

Education / Experience Requirement
  • Bachelor's degree or Bachelor of Applied Science in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical field, with 6-9 years of relevant software engineering experience; or equivalent practical experience with 10-12 years delivering production software.

Required Qualifications
  • Staff-level experience designing and shipping complex software systems with multi-team scope, broad technical ambiguity, and production accountability.

  • Strong Android Automotive or Android platform development experience, including services, lifecycle, IPC, threading/concurrency, system integration, performance analysis, and production debugging.

  • Hands-on experience building vehicle, embedded, infotainment, ADAS, robotics, simulation, gaming, or other real-time visualization software.

  • Strong 3D rendering experience using technologies such as OpenGL, Vulkan, Filament, Unity, Unreal, Android graphics stack, scene graphs, shaders, GPU profiling, or similar rendering frameworks.

  • Demonstrated system design skill across application, middleware, data, and platform boundaries, with the ability to define interfaces, sequence diagrams, data flows, state machines, and validation strategies.

  • Proven execution accountability: ability to own roadmaps, commitments, risks, dependencies, and release quality without day-to-day direction.

  • Experience diagnosing complex performance and reliability issues involving memory, CPU/GPU utilization, latency, frame drops, race conditions, service lifecycle, or cross-process communication.

  • Strong written and verbal communication skills, including the ability to influence architecture decisions across teams without direct authority.

Preferred Qualifications
  • Experience with Android Automotive OS, embedded Android, infotainment, cluster, ADAS HMI, camera systems, navigation, or vehicle visualization.

  • Experience with ADAS or autonomous driving concepts such as perception objects, lane-level navigation, localization, path planning, camera recording, sensor data, or driver assistance alerts.

  • Experience with vehicle signal interfaces, CAN, SOME/IP, DDS, AIDL, gRPC, protobuf, vehicle data services, or equivalent middleware/data transport.

  • Experience defining rendering performance budgets, GPU memory strategies, frame pacing, asset pipelines, texture management, level-of-detail strategies, or fallback rendering behavior.

  • Experience leading architecture reviews, technical readiness reviews, release planning, and production issue triage for safety-relevant or vehicle-integrated software.

  • Familiarity with automotive software practices such as ASPICE, ISO 26262 concepts, CI/CD, HIL/SIL validation, test automation, and structured release governance.

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: $189,300 - $290,700 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.

#LI-EL1

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. The selected candidate will be required to travel <25% for this role. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908