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Senior Systems Software Engineer - Autonomous Vehicles

NVIDIA · Santa Clara, United States

Information Technology Software & Development Full-time Posted 4 days ago

About this role

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

Apply for this role on NVIDIA’s official careers site.

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