We are looking for a senior systems software engineer to improve the operation and user experience of distributed system infrastructure using AI. We are passionate about the opportunity to shape the future of the NVIDIA software platform! We want to develop next-generation AI-powered infrastructure that scales to run millions of requests and jobs on thousands of servers efficiently, reliably, and securely.
What you will be doing:
Design, build, test, deploy, and maintain software infrastructure APIs and services.
Collaborate effectively with peers and partners through brainstorming and review sessions to produce high-quality design, code, and documentation.
Review, recommend, and model best practices of distributed systems for reliability, performance, monitoring, security, compliance, interoperability, usability, correctness, consistency, simplicity, etc.
Support other NVIDIA teams in using this foundational infrastructure.
Debug production issues across services and multiple levels of the stack.
What we need to see:
Bachelor’s degree or equivalent experience.
More than 8 years dedicated to software engineering in one or more programming languages, including data structures and algorithms.
2 years of experience designing, testing, maintaining and/or launching distributed systems.
Ways to stand out from the crowd:
Experience with Agentic AI frameworks and patterns.
Background with container technologies such as Docker and Kubernetes.
Experience with DevOps tools such as Ansible, Terraform, and Jenkins.
Knowledge of the Java programming language and web frameworks such as Spring Boot.
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 degree or equivalent experience
- More than 8 years dedicated to software engineering (one or more programming languages)
- Experience with data structures and algorithms
- 2 years designing, testing, maintaining and/or launching distributed systems
- Experience with Agentic AI frameworks and patterns
- Experience with container technologies such as Docker and Kubernetes
- Experience with DevOps tools such as Ansible, Terraform, and Jenkins
- Knowledge of the Java programming language and web frameworks such as Spring Boot
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.”
