We use PostHog and Clarity to improve the site, and Meta Pixel to measure page views and ad effectiveness. Usage data may include page addresses and browser identifiers. You can opt out of collection at any time. Details in the Privacy Policy
DevOps and Automation Engineer – ICPE at Nvidia · Trevo
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 do
Develop, maintain, and improve mission-critical engineering applications and automation tools
Design, implement, and support CI/CD workflows using tools such as Jenkins and GitLab
Build tools and infrastructure to automate test program validation, execution, packaging, and release
Support and enhance design-test engineering automation flows
Develop internal applications and utilities in Python and C#
Enable new automation and infrastructure capabilities in test factories and lab environments
Collaborate with multiple teams across NVIDIA to improve data collection, analysis, and reporting for engineering and characterization test results
Contribute to the reliability, scalability, and maintainability of automation systems and workflows
What We Need To See
BS degree or higher in Computer Science, Software Engineering, or a related field, or equivalent experience
3+ years of relevant experience in software engineering, automation, DevOps, or infrastructure development
Strong programming skills in Python and C#; C/C++ is a strong advantage
Hands-on experience with Jenkins, GitLab, and source control / CI/CD methodologies
Strong experience building internal tools, applications, or automation frameworks
Experience with GUI/application development; web-based tools and cloud technologies are a plus
High proficiency with Git
Strong problem-solving skills and a passion for building reliable automation that reduces repetitive manual work
Excellent communication and collaboration skills across diverse teams and disciplines as well as self-driven, agile, fast learner, and execution-oriented with high quality standards
Strong customer focus and service mindset
Ways To Stand Out In The Crowd
Experience with VBA or VB6 or Java
Knowledge of semiconductor test flows or product engineering environments
Experience with HW/SW interfaces
Familiarity with lab automation, test infrastructure, or manufacturing/test environments
Experience building internal platforms, deployment pipelines, or automation ecosystems