Job Information
Nvidia Senior Software Engineer, Developer Experience in Santa Clara, California
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people!
As a Senior Software Engineer for Developer Experience, you will be at the forefront of modernizing the engineering lifecycle by integrating Agentic AI and Machine Learning into the pipeline. Your mission is to move beyond traditional workflows by building an "intelligent" ecosystem that predicts failures, automates triage, and creates a frictionless, high-speed feedback loop for developers!
What you’ll be doing:
Design and implement a solution for a high-signal, rapid-feedback loop to ensure developers can validate changes with speed and confidence.
Implement tools to measure and report on improvements in key metrics like cycle time, change failure rate, and mean time to recovery (MTTR).
Build and deploy predictive models to identify high-risk commits, forecast potential build failures, and flag changes that have a high probability of failures.
Design and Develop AI agents to select change centric builds and tests.
Design and development of developer productivity tools and infrastructure. Contribute to automating workflows and improving efficiencies.
Design and implement AI-driven solutions across software development lifecycles to identify and eliminate systemic friction in the engineering workflow, with a primary focus on reducing waste in the CI pipelines.
Expertise in leveraging large language models (LLMs) and Agentic AI to automate complex engineering workflows including triaging failures and automated remediation.
What we need to see:
BS/MS in Computer Science or related field (or equivalent experience)
5 + years of proven experience building or supporting large software projects or equivalent
Hands-on experience on Python/Java/Go
Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.
Experience with tools for CI/CD setup such as Jenkins, Gitlab CI, Packer, Terraform, Artifactory, Ansible, Chef or similar tools.
Agentic frameworks and tools
Knowledge of build tools like Make, Maven or Ant.
Excellent data analysis skills and demonstrated ability to solve complex issues involving multiple software or hardware components.
Expertise in service oriented architecture and RESTful APIs.
Strong collaborative and interpersonal skills.
Ways to stand out from the crowd:
Deep practical knowledge of Large Language Models (LLMs), Machine Learning (ML), Agent development, MCP. Hands-on experience implementing AI solutions to solve real-world developer productivity problems.
Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge.
Knowledge in setting up and maintaining systems monitoring and logging tools.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until March 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.