We are searching for a creative and highly motivated engineer with deep expertise in system software to join our NvSci team as part of NVIDIA DRIVE platforms. NvSci technology provides a sophisticated set of libraries for generation and processing of images and higher-dimensional data, enabling DRIVE SW Safety & Security Architecture. It delivers advanced streaming solutions that let NVIDIA DRIVE users develop software frameworks and distributed applications that:
Optimize use of NVIDIA hardware acceleration capabilities
Seamlessly port across NVIDIA platforms
Scale from simple deployments to complex hardware systems
Our work spans automotive to data centers, ensuring robust performance, scalability, and real-time monitoring. In this fast‑evolving field, we continuously adopt the latest practices to enhance software integrity and reliability.
What you’ll be doing:
Define and drive a comprehensive verification strategy with clear quality goals and CI gates. Scale automated testing frameworks across CI environments and target hardware to ensure continuous, high‑quality validation throughout the development lifecycle.
Architect high‑signal test strategies for NvSci middleware, NvStreams, and NvIPC—including stress, fault‑injection, fuzzing, and regression testing—to ensure robustness under extreme conditions and compliance with ISO 26262, ASPICE, and ISO 21434.
Lead verification efforts focused on system robustness, error handling, and graceful degradation and recovery, ensuring functional safety compliance and reliable operation across varied automotive use cases and failure scenarios.
Partner with engineering teams to champion design‑for‑testability, creating robust interfaces, diagnostics, and tooling that simplify debugging, improve observability, and elevate developer experience and software maintainability.
Design and implement next‑generation NvSci software and APIs that provide seamless cross‑platform functionality and integration with user applications and acceleration libraries on diverse SoCs. Evaluate trade‑offs in resource‑constrained environments to optimize performance and middleware efficiency.
Research, adopt, and integrate advanced software engineering practices, automation tooling, and generative AI–driven workflows to improve the reliability, scalability, and long‑term maintainability of NvSci components and associated middleware.
What we need to see:
BS or MS in CS/CE/EE or related engineering field, or equivalent experience
7 + years of relevant software development experience
Proficiency in C/C++ and Python
Experience in system architecture and embedded systems, building complex systems with multiple threads, CPUs, accelerators, and chips
Strong understanding of operating systems
Excellent written and verbal communication skills, with the ability to clearly convey complex technical concepts
Demonstrated problem‑solving skills, with a track record of driving solutions from concept to production
Ability to work effectively in cross‑functional, distributed teams
Ways to stand out from the crowd:
Knowledge of automotive quality and safety standards: ASPICE, ISO 26262, ISO 21434
Experience with formal verification methods and tools (for example, TLA+)
Experience in process automation and workflow optimization in large‑scale software environments
Understanding of the unique challenges in autonomous vehicle software systems, specifically around safety, security, and real‑time performance
NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our team is composed of some of the most forward‑thinking minds in tech. If you are driven, creative, and passionate about shaping the future of autonomous vehicles, we would love to hear from you. Apply today and contribute to the groundbreaking technologies that are changing the world of self‑driving cars and AI!
Skills Required
- BS or MS in CS/CE/EE or related engineering field, or equivalent experience
- 7 + years of relevant software development experience
- Proficiency in C/C++ and Python
- Experience in system architecture and embedded systems
- Strong understanding of operating systems
- Excellent written and verbal communication skills
- Demonstrated problem‑solving skills
- Ability to work effectively in cross‑functional teams
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.”
