Role at a glance
- Salary
- $184K – $356.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 8+ years of professional software development experience.
- Education
- BS or MS in Computer Engineering, Computer Science, or a related field (or equivalent experience).
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The ADAS Platform team builds a scalable and modular software stack for advanced driver-assistance systems across multiple product lines and OEMs. The Senior Systems Software Engineer will improve software architecture, integration, scalability, and deterministic performance across the stack.
What You'll Do
- Drive architectural improvements that simplify and modularize the software stack.
- Design and develop clean boundaries between performance-focused software components.
- Refactor ADAS components for reuse, extensibility, and long-term maintainability.
- Partner with software, systems, and hardware teams to define interfaces and improve integration velocity.
- Establish test coverage, design reviews, and architectural documentation.
- Profile and tune system performance for modern multi-core and real-time environments.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
C++ programming; modular software architecture; clean code design and separation of concerns; multithreaded, real-time, or performance-critical systems; parallel/distributed systems and low-level system profiling; Linux, QNX, or other embedded RTOS environments.
Required
- C++ programming
- Modular software architecture
- Clean code design and separation of concerns
- Multithreaded, real-time, or performance-critical systems
- Parallel/distributed systems
- Low-level system profiling
- Linux, QNX, or other embedded RTOS environments
Preferred
- ADAS software, especially Planning, Sensor Fusion, Mapping, or Localization
- Real-time operating systems, particularly QNX
- Automotive software lifecycle and integration across safety-critical systems
- Memory management, DMA engines, and hardware abstraction layers (HAL)
- Git and Bazel in large-scale software environments
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 Systems Software 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 analyze performance, inter-operation and deterministic execution flows. 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 and developing clean boundaries between components with performance-first approach to software modules.
Refactoring ADAS components to support reuse, extensibility, and long-term maintainability.
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++ 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 — especially in components like Planning, Sensor Fusion, Mapping, or Localization.
Deep understanding of real-time operating systems, particularly QNX.
Familiarity with the automotive software lifecycle and integration across safety-critical systems.
Experience with memory management, DMA engines, and hardware abstraction layers (HAL).
Experience using Git and Bazel in large-scale software environments.
You will also be eligible for equity and benefits.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.