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Nvidia Software Engineering Manager 
United States, California 
10733195

01.12.2024

What you'll be doing:

  • Build and lead a highly skilled and motivated SRE team focused on Development support, automation and incident management.

  • Work with Engineering, Product Management, and Customer Program Management teams to define, prioritize, and implement features, infrastructure, processes, and workflows.

  • Help identify potential or observed weaknesses in the current process, offer ideas for actions that can improve quality, and participate in quality initiatives and drive continuous improvement.

  • Work with various internal teams to build roadmap of work that feeds into the sprint plans for execution.

  • Identify and support technological growth opportunities within the company to support an expanding set of users!

What we need to see:

  • Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.

  • 3+ years of Management experience in large, cross-matrix, and geo-dispersed technology organizations focused in/around the server and data center space—strong experiences in Product Engineering with 10+ overall years of overall experience.

  • A deep understanding of computer architecture & operating system fundamentals

  • Strong experience in building CI/CD pipeline

  • Strong automation experience including managing automation frameworks.

  • Excellent thought process for identifying risks and developing robust mitigations

  • Strong collaborative and interpersonal skills, specifically a proven track record to effectively guide and influence within a diverse team

  • Experience with software delivery using Python, Java, or similar, and usingElasticSearch/LogStash/Kibana,Grafana/Prometheus, or equivalent

  • Background with agile software development methodologies

  • Experience working in and leading distributed teams

Ways to stand out from the crowd:

  • Strong automation experience including managing automation frameworks.

  • Ability to design and create tools to reduce manual work.

  • Experience with container and virtualization technologies such as Docker, and Xen, cloud networking, infrastructure and service security

  • Experience with Machine Learning and Data Analytics and their application

You will also be eligible for equity and .