NVIDIA is seeking a highly motivated Principal System Software Engineer to drive next-generation innovations in automotive platform software, system architecture, and performance engineering. In this highly visible technical leadership role, you will contribute directly to the architecture, development, optimization, and scaling of foundational software technologies powering NVIDIA automotive compute platforms.
You will work closely with hardware, architecture, kernel, AI, middleware, and platform teams to deliver high-performance, scalable, and safety-critical system software solutions. This role requires deep technical expertise, substantial proven hands-on engineering experience, and the ability to solve complex system-level challenges across the software stack.
What you'll be doing:
Drive system software architecture and technical direction for next-generation automotive compute platforms.
Lead performance optimization initiatives across CPU, GPU, memory, storage, networking, and platform subsystems.
Design, develop, debug, and optimize low-level system software including kernel, drivers, middleware, runtime frameworks, and platform services.
Collaborate closely with silicon, firmware, AI, and platform architecture teams to deliver optimized end-to-end solutions.
Analyze complex system bottlenecks and develop scalable solutions to improve performance, reliability, determinism, and efficiency.
Drive software bring-up, profiling, debugging, and performance tuning for new automotive platforms.
Contribute hands-on to critical software development, architecture reviews, debugging, and system optimization efforts.
Mentor engineers and help drive a culture of technical excellence, innovation, and execution.
What We Need to See:
Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
15+ years of substantial hands-on experience in systems software, embedded systems, platform software, kernel development, or performance engineering.
Deep expertise in Linux system internals, kernel architecture, device drivers, and low-level system software development.
Strong programming skills in C/C++ with experience in Python or scripting languages.
Proven experience debugging and optimizing complex distributed or heterogeneous computing systems.
Strong background in performance analysis and optimization across CPU, GPU, memory, storage, and interconnect subsystems.
Experience with embedded Linux, RTOS, virtualization technologies, or multi-core system architectures.
Demonstrated ability to lead technically while remaining deeply hands-on in development, debugging, and architecture activities.
Experience collaborating across hardware and software organizations in highly matrixed environments.
Strong communication, problem-solving, and technical leadership skills.
Ways to stand out from the crowd:
Experience with automotive software platforms, ADAS, or autonomous driving systems.
Familiarity with ISO 26262, AUTOSAR, ASPICE, or automotive cybersecurity frameworks.
Experience with GPU-accelerated computing and AI/ML software platforms.
Contributions to Linux kernel, open-source systems software, or performance tooling.
Experience building scalable software architectures for centralized vehicle compute platforms.
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 an inclusive 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.Skills Required
- Bachelor's, Master's, or PhD in Computer Science or related field
- 15+ years of experience in systems software or embedded systems
- Deep expertise in Linux system internals and kernel development
- Strong programming skills in C/C++ and experience with scripting languages
- Proven experience debugging and optimizing complex distributed systems
- Experience with embedded Linux or multi-core system architectures
- Strong communication and technical leadership skills
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.”
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