DevOps and Automation Engineer – ICPE
NVIDIA · full-time · posted 11 Sep
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The actual job
DevOps and Automation Engineer – ICPE
NVIDIA
- Top skills
- Python
- Engagement
- Full-time
- Posted
- 3 days ago
What the posting asks for
- 3 years of experience
- Python
- Jenkins
- GitLab
- CI/CD
Employer text
The posting, in its own words
We are looking for a creative, independent, and hands-on DevOps and Automation Engineer to join the IC Test and Product Engineering group in NVIDIA Networking Business Unit. NVIDIA Networking Business Unit has continuously reinvented itself over the past two decades. Our high-speed networking products are market leaders, driving innovation in bandwidth, performance, and scale from generation to generation. Today, NVIDIA Networking is recognized as the go-to place for end-to-end high-speed Ethernet and InfiniBand solutions.We are growing our team and looking for talented engineers who want to work at the cutting edge of technology. In this role, you will support the development of tools, infrastructure, and automation workflows that help move Network Silicon IC products such as Switches, NICs, and SmartNICs from design to mass production. You will work closely with test engineers, design teams, IT, test houses, and other cross-functional teams to improve automation, CI/CD flows, test infrastructure, and engineering tools that accelerate time to market and enable next-generation validation, characterization, and data analysis capabilities. If you are passionate about building robust automation, improving engineering productivity, and enabling the highest quality networking products in the market, we would love to hear from you.What you'll be doing:Develop, maintain, and improve mission-critical engineering applications and automation toolsDesign, implement, and support CI/CD workflows using tools such as Jenkins and GitLabBuild tools and infrastructure to automate test program validation, execution, packaging, and releaseSupport and enhance design-test engineering automation flowsDevelop internal applications and utilities in Python and C#Enable new automation and infrastructure capabilities in test factories and lab environmentsCollaborate with multiple teams across NVIDIA to improve data collection, analysis, and reporting for engineering and characterization test resultsContribute to the reliability, scalability, and maintainability of automation systems and workflowsWhat we need to see:BS degree or higher in Computer Science, Software Engineering, or a related field, or equivalent experience3+ years of relevant experience in software engineering, automation, DevOps, or infrastructure developmentStrong programming skills in Python and C#; C/C++ is a strong advantageHands-on experience with Jenkins, GitLab, and source control / CI/CD methodologiesStrong experience building internal tools, applications, or automation frameworksExperience with GUI/application development; web-based tools and cloud technologies are a plusHigh proficiency with GitStrong problem-solving skills and a passion for building reliable automation that reduces repetitive manual workExcellent communication and collaboration skills across diverse teams and disciplines as well as self-driven, agile, fast learner, and execution-oriented with high quality standardsStrong customer focus and service mindsetWays to stand out in the crowd:Experience with VBA or VB6 or JavaKnowledge of semiconductor test flows or product engineering environmentsExperience with HW/SW interfacesFamiliarity with lab automation, test infrastructure, or manufacturing/test environmentsExperience building internal platforms, deployment pipelines, or automation ecosystems