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Adas Algorithm Engineer Jobs in Missouri (NOW HIRING)

Adas Algorithm Engineer information

See Missouri salary details

$55.8K

$104.7K

$190.4K

How much do adas algorithm engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for adas algorithm engineer in Missouri is $104,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $124,300.00 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?

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 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 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 Missouri? For Adas Algorithm Engineer jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Adas Algorithm Engineer jobs? Cities in Missouri with the most Adas Algorithm Engineer job openings:

Manager, Software Engineering - AV Frameworks, Manager, Software Engineering - AV Frameworks (Califo

NVIDIA

California, MO • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies


Job description

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error — this is truly an extraordinary time and the era of AI has begun.

We are now looking for a Manager of System Software Engineering - Framework, to join our Autonomous Vehicles next generation team! Our team builds the NVIDIA DriveAV SDK with the goal to provide a scalable software stack and framework to build autonomous vehicles. We are seeking software engineers with interest in crafting, developing and maintaining the application framework and tools that we use to develop self-driving solutions on multi-computer and heterogeneous architectures. If you want to be part of the next generation of autonomous vehicle technology, join us!

What You Will Be Doing
  • Managing the development and optimization of software architecture and frameworks for real-world performance while matching or exceeding customer requirements.
  • Working on areas such as component abstraction layers, inter-process data sharing and communication, and process scheduling.
  • Developing efficient mechanisms to maximize utilization on computers with multiple heterogeneous hardware engines.
  • Solidifying existing frameworks and software components and validate with large amounts of real and synthetic the improvements of the computational performance and system utilization.
  • Performing in-vehicle tests, collecting data and completing autonomous drive missions.
  • Developing unit tests, documentation for features, evaluating quality and proposing corrective actions.
  • Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Follow quality and safety standards such as defined by MISRA.
What We Need To See
  • BS or MS in Computer Engineering, Computer Science or related field (or equivalent experience).
  • 8+ years of overall relevant industry experience including 3+ years of experience leading a team.
  • Excellent C and C++ programming skills.
  • Experience developing and debugging multi-threaded/distributed applications like multimedia systems, game engines, etc.
  • Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
  • Strong knowledge on Linux, Android, and/or other real-time operating systems.
  • Experience with frameworks for robotics such as ROS and/or for multimedia such as GStreamer.
  • Thrive on writing low latency, highly performant code.
  • Great communication and analytical skills. Self-motivated and a great teammate.
Ways To Stand Out From The Crowd
  • Understanding of embedded architectures, image processing APIs (e.g. OpenCV) and MATLAB tools.
  • Experience with any of the following: developing software in heterogeneous architectures, including GPUs; version control systems GIT; build system like CMake/Bazel.
  • Knowledge of automotive systems, notably ADAS applications.
  • Software development for modern OpenGL (Core Profile) and Linux.
  • Demonstrate hands-on collaboration within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation.

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 20, 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.

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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