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Adas Software Engineer information

What is an ADAS software engineer?

An ADAS (Advanced Driver Assistance Systems) Software Engineer is a professional who designs, develops, and tests software for vehicle systems that assist drivers and enhance automotive safety. These engineers work on technologies such as adaptive cruise control, lane-keeping assistance, automatic emergency braking, and parking assistance. Their work involves programming algorithms, integrating sensors like cameras and radars, and ensuring the software meets safety and performance standards. ADAS Software Engineers often collaborate with hardware teams and conduct simulations or real-world testing to validate system functionality.

What are the key skills and qualifications needed to thrive as an ADAS software engineer?

To thrive as an ADAS Software Engineer, you need a strong background in computer science, software development, and knowledge of automotive systems, often supported by a degree in engineering or a related field. Familiarity with programming languages like C/C++, Python, and tools such as MATLAB, Simulink, and ROS, along with experience in sensor fusion and embedded systems, is typically required. Strong problem-solving skills, attention to detail, and the ability to collaborate within multidisciplinary teams help engineers stand out. These skills are crucial for developing reliable, safety-critical driver-assistance technologies that meet automotive standards.

How do ADAS software engineers typically collaborate with cross-functional teams during the development lifecycle?

ADAS Software Engineers often work closely with hardware engineers, data scientists, and system architects to ensure seamless integration of advanced driver-assistance features. Regular collaboration includes joint design reviews, troubleshooting sessions, and testing activities to align software functionalities with sensor capabilities and vehicle requirements. This teamwork is essential for developing robust, reliable, and safe ADAS solutions, and fosters a dynamic work environment where communication and problem-solving skills are highly valued.

Is Adas a good career?

An ADAS Software Engineer develops and tests advanced driver-assistance systems, which are integral to autonomous vehicle technology. The field offers growth opportunities due to increasing automotive automation and requires skills in software development, sensor integration, and real-time systems. It is considered a promising career path for those interested in automotive innovation and embedded systems.

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Adas Software Engineer jobs near you

Senior Systems Software Engineer - Autonomous Vehicles

NVIDIA Corporation

Santa Clara, CA • On-site

$184 - $357/hr

Other

Re-posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

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. Applications for this job will be accepted at least until August 28, 2026. This posting is for an existing vacancy.


NVIDIA is committed to fostering an inclusive 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 pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

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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

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