NVIDIA

Automotive

SeniorSystemSoftwareArchitectAutomotiveApplications

$184–357k Santa Clara, California, United States FULL TIME Remote Friendly
The Brief

“Senior System Software Architect - Automotive Applications at NVIDIA. Skills: Software architecture, System software, C++, Real-time systems, Performance optimization. Building a scalable and modular software stack for ADAS. Analyzing performance, inter-operation and deterministic execution flows”

What You'll Achieve.

Simplify and modularize the software stack; Improve integration velocity; Support reuse, extensibility, and long-term maintainability of ADAS components; Optimize system performance for modern multi-core and real-time environments

Industry & Context.

Automotive
Problems you'll solve

Analyze performance, inter-operation and deterministic execution flows

What They're Looking For.

Must Have

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, 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

Nice to Have

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

What You'll Do.

Building a scalable and modular software stack for ADAS

Analyzing performance

inter-operation and deterministic execution flows

Evolving the platform to support efficient integration and scalability

Driving architectural improvements that simplify and modularize the software stack

Designing and developing clean boundaries between components with performance-first approach

Refactoring ADAS components to support reuse

and long-term maintainability

Profiling and tuning system performance — optimizing for modern multi-core and real-time environments

How You'll Work.

Team & Collaboration

Partnering with teams across software, systems, and hardware to define clear interfaces and improve integration velocity

Communication Scope

Exceptional communication skills

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