Our Autonomous Vehicles 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:
B.Tech. or M.Tech. 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
Skills Required
- B.Tech. or M.Tech. 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 or distributed systems and low-level system profiling
- Comfort working in Linux, QNX, or other embedded RTOS environments
- Exceptional communication and collaborative skills
- Experience developing ADAS software, particularly Planning, Sensor Fusion, Mapping, or Localization components
- Deep understanding of real-time operating systems, particularly QNX
- Familiarity with automotive software lifecycle and safety-critical systems integration
- Experience with memory management, DMA engines, and hardware abstraction layers
- Experience using Git and Bazel in large-scale software environments
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
