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# Senior Software Engineer, Developer Experience

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Data Analysis, Databases, Continuous Integration, Elasticsearch, Monitoring of Systems, Python (Programming Language), Machine Learning, Apache Maven, MongoDB, MySQL, NoSQL, Ansible, Standard Sql, Service-Oriented Architecture, Software Engineering, Data Logging, Large Language Models, Mttr, Build Management, Gitlab-ci, Information Technology, Build Tools, Hardware Infrastructure, Virtual Agents, Restful APIs, Terraform, Jenkins, Artifactory
- **Published:** August 18, 2026
- **Apply:** https://www.disabledperson.com/jobs/74352717-senior-software-engineer-developer-experience

## About the Role

* 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.

## Description

* 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.


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