Nvidia Software Engineering Manager 

United States, California 

10733195

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