Our team is building the foundational infrastructure that powers NVIDIA’s cutting-edge innovations in AI and high-performance computing. We are looking for a System Software Engineer to help design, build, and improve scalable and reliable automation systems that support the development, validation, and deployment of our core software across cloud and on-premises environments. This role offers the opportunity to work on large-scale systems that ensure the performance, reliability, and efficiency of AI and compute workloads used globally—from data centers to specialized hardware platforms.
What You’ll Be Doing:
Develop and maintain infrastructure and tools that automate software build, test, and deployment workflows.
Build and improve performance measurement and benchmarking systems for large-scale software and hardware platforms.
Collaborate with engineering teams to understand requirements and deliver reliable, scalable solutions.
Analyze system performance and logs to identify issues and contribute to continuous improvements.
Participate in design discussions and help improve platform automation and engineering efficiency.
What We Need To See:
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, or equivalent experience.
At least 2+ years of software engineering experience in infrastructure, backend systems, distributed systems, or automation.
Strong programming skills in at least one of: C++, Python, Go, or similar languages.
Experience working with software systems, automation frameworks, or CI/CD pipelines.
Strong problem-solving and debugging skills.
Good communication skills and ability to work effectively in a team.
Ways To Stand Out From The Crowd:
Exposure to AI/ML systems or data-intensive workloads.
Experience with cloud or on-prem infrastructure environments.
Familiarity with container technologies such as Docker and Kubernetes.
Experience with performance analysis or profiling tools.
Interest in building scalable systems and improving engineering efficiency.
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 or Master's degree in Computer Science, Computer Engineering, or related field, or equivalent experience
- At least 2+ years of software engineering experience in infrastructure, backend systems, distributed systems, or automation
- Strong programming skills in at least one of: C++, Python, Go, or similar languages
- Experience working with software systems, automation frameworks, or CI/CD pipelines
- Strong problem-solving and debugging skills
- Good communication skills and ability to work effectively in a team
- Exposure to AI/ML systems or data-intensive workloads
- Experience with cloud or on-prem infrastructure environments
- Familiarity with container technologies such as Docker and Kubernetes
- Experience with performance analysis or profiling tools
- Interest in building scalable systems and improving engineering efficiency
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.”
