NVIDIA has transformed graphics, gaming, and accelerated computing for over 25 years through innovative technology and exceptional people. Today, we’re shaping the next era of AI, with GPUs powering computers, robots, and self-driving cars. Join a diverse, supportive team where vision and talent drive groundbreaking work—and where you can make a lasting impact on the world.
We’re seeking a Senior System Software Engineer to build scalable, reliable automation infrastructure powering NVIDIA’s AI and high-performance computing innovations. You’ll optimize how AI models and complex applications are validated, tuned, and deployed across cloud environments, on-premises data centers, and specialized hardware worldwide.
As a Senior System Software Engineer, you’ll architect critical infrastructure for NVIDIA’s platform automation, accelerating product development and deployment. You’ll solve large-scale distributed systems challenges to improve efficiency, reliability, and scalability—enabling faster innovation, higher performance, and broader access to NVIDIA technologies for millions
What you’ll be doing- Develop efficient infrastructure and tools for automating complex software processes.
- Drive Performance Optimization: Implement advanced test harnesses, benchmarking frameworks, and analytical tools to rigorously characterize and optimize the performance and efficiency of our software and hardware platforms.
- Apply deep knowledge of operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to build and troubleshoot highly performant systems.
- Work with engineering teams to understand needs, define requirements, and deliver efficient solutions.
- Set performance goals, monitor feedback, analyze data, and make continuous improvements for system reliability.
- Influence Technical Strategy: Contribute to defining technical strategies and roadmaps for our platform automation initiatives, ensuring alignment with company-wide goals and standard methodologies.
- Bachelor's or equivalent experience in Computer Science, Computer Engineering, or a related technical field, or Master's degree or equivalent experience in a similar field.
- 6+ years of industry experience in software development, focusing on infrastructure, distributed systems, automation, and/or performance engineering.
- Expertise in System-Level Programming: Proven ability to develop robust tools and automation using programming languages such as C++, Python, or Go.
- Deep Understanding of System Software: Experience with operating system internals, device drivers, memory management, and debugging performance issues in complex compute applications.
- Distributed Systems: Experience in designing, building, and operating large-scale distributed systems, with knowledge of networking protocols, cluster management, and high-performance interconnects.
- Automation and CI/CD Proficiency: Experience building and maintaining automated testing, benchmarking, and continuous integration/continuous deployment pipelines.
- Problem-Solving and Analytical Skills: Outstanding analytical, problem-solving, and debugging skills, with a track record of resolving complex technical challenges.
- Collaboration and Communication: Excellent interpersonal and communication skills, with the ability to articulate complex technical concepts to diverse audiences and collaborate effectively across teams.
- Experience optimizing performance for AI/Machine Learning workloads, especially inference applications, on diverse hardware platforms.
- Prior experience building or contributing to large-scale compute infrastructure solutions in cloud environments or on-premises data centers.
- Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
- Familiarity with performance profiling tools and methodologies for hardware and software systems.
- Track record of driving significant efficiency gains or architectural improvements in large-scale systems.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com
NVIDIA is committed to fostering a diverse 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 degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field; alternatively, a master's degree or equivalent experience
- 6+ years of industry experience in software development focused on infrastructure, distributed systems, automation, and/or performance engineering
- Proficiency developing system-level tools and automation using C++, Python, or Go
- Experience with operating system internals, device drivers, memory management, and debugging performance issues
- Experience designing, building, and operating large-scale distributed systems
- Knowledge of networking protocols, cluster management, and high-performance interconnects
- Experience building and maintaining automated testing, benchmarking, and CI/CD pipelines
- Outstanding analytical, problem-solving, and debugging skills
- Excellent interpersonal and communication skills, including collaboration across teams
- Experience optimizing AI or machine learning workloads, especially inference applications, across diverse hardware platforms
- Experience building large-scale compute infrastructure in cloud environments or on-premises data centers
- Experience with Docker and Kubernetes
- Familiarity with performance profiling tools and methodologies
- Track record of significant efficiency gains or architectural improvements in large-scale systems
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
