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Adas Algorithm Engineer Jobs in Texas (NOW HIRING)

Adas Algorithm Engineer information

See Texas salary details

$55.4K

$104K

$189.1K

How much do adas algorithm engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for adas algorithm engineer in Texas is $104,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,400.00 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 Texas?

For Adas Algorithm Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Adas Algorithm Engineer jobs in Texas look for?

The top searched job categories for Adas Algorithm Engineer jobs in Texas are:

Infographic showing various Adas Algorithm Engineer job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $104,002 per year, or $50 per hour.

Staff Robotics Engineer - Planning and Controls

General Motors

Austin, TX

$185K - $335K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 307 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,318 frontline employees who took The Breakroom Quiz


Job description

Job Description

About GM

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale.

About the Role

As a Technical Lead you will be an individual contributor in the Local Planner Controller team within Embodied AI. We formulate and solve optimization problems online, considering kinematic feasibility, collision avoidance and ride comfort. In this role, you will provide cross-functional technical leadership for vehicle dynamics, estimation and controls systems used in GMs Super Cruise system. You will define the technical vision and multi-quarter roadmap for vehicle dynamics and controls software, drive design quality from architecture through validation, and align multiple teams to ship reliable, scalable autonomy capabilities that meet company goals.

What you'll be doing (Responsibilities):

  • Shape the technical vision by owning multi-quarter roadmap designs for vehicle dynamics and controls software.

  • Architect and implement system designs and interface contracts with perception, prediction and planning systems, ensuring deliverables meet performance targets and safety constraints.

  • Lead technical reviews and drive software engineering best practices across the team and the larger organization.

  • Contribute to Active Safety, Driver Assistance, and Super Cruise development.

  • Guide other developers through system design and implementation focusing on safety, comfort, and compute efficiency.

  • Establish verification and validation strategies for the vehicle dynamics and controls software, including simulation and on-road testing validation gates.

  • Partner with Safety, Systems Engineering, and Product to generate requirements for onboard systems.

  • Lead root-cause investigations for complex integration issues, using data-driven techniques and principled experimentation, proactively creating test plans for new features and defining useful metrics for analyzing performance

  • Mentor engineers across teams, raising the bar on technical judgment, design quality, and execution discipline without direct people management responsibilities.

  • Improve and deliver reliable software through continuous integration, automated testing, and code reviews.

  • Develop and oversee top-tier software engineers within a dynamic, fast-paced, and inclusive setting.

  • Help define, build, and embody GM engineering culture and principles.

Required Qualifications:

  • Ph.D., M.S. in controls, optimization, path planning, or related. B.S. with strong work experience in the field may be considered

  • 5+ years of experience in motion planning or related field

  • Deep understanding of optimal controls and trajectory optimization algorithms

  • Good grasp of classical and modern feedback control theory and techniques

  • Solid understanding of vehicle dynamics

  • A demonstrated track record of building high quality autonomous software systems

  • Deep expertise in Planning and Controls system design

  • Experience with C++/Python in a large, distributed development environment

  • Strong organizational and communication skills

  • Passion for self-driving technology and its potential impact on the world

Bonus points!

  • A background in robotics, ROS, or the AV/ADAS industry

  • Experience in numerical optimization algorithms

  • Experience designing software applications for safety critical systems

  • Experience building and managing engineering teams

  • 5+ years of experience in motion planning or related field

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 the California Bay Area.

  • The salary range for this role is $185,100.00 to $335,300.00. The actual base salary a successful candidate will be offered within this 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:

  • 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, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This job may be eligible for relocation benefits.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

#GM-AV-1

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your 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