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Salary
$79k – $231k per year (Estimated)
Location
In office (Yokneam)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.

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 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

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