Nvidia Senior PCIe DevOps Automation Verification Engineer 

Israel, North District 

209134704

What you’ll be doing:

• Develop and maintain automated verification environments for PCIe technology in both pre-silicon and post-silicon stages.

• Design and implement CI / CD pipelines to automate testing, deployment, and verification processes for PCIe hardware and firmware.

• Collaborate with multi-functional teams including software engineers, firmware developers, architects, and hardware teams to define and implement automation strategies.

• Continuously improve existing automation frameworks to enhance efficiency, scalability, and reliability.

• Solve issues in development environments by identifying root causes in both hardware design and software integration.

• Lead efforts in automating regression testing suites using Python or other scripting languages.

• Work closely with architecture teams to craft innovative solutions for low-level firmware verification methods.

What we need to see:

• Bachelor's degree (B.Sc.) or equivalent experience in Electrical Engineering / Computer Science / Computer Engineering.

• 6+ years of experience and proven ability in DevOps, automation, or verification roles with a focus on PCIe technology.

• Strong knowledge of Object-Oriented Programming (OOP), computer architecture, operating systems, and real-time or embedded systems.

• Hands-on experience with CI/CD tools such as Jenkins or GitLab CI for automating deployment processes.

• Proficiency with scripting languages like Python or Bash for automation tasks.

• Knowledge of hardware verification concepts and tools (C++, SystemVerilog) and familiarity with a structured approach to software testing.

• Strong problem-solving skills with the ability to work independently while collaborating across multiple teams.

• Excellent social skills with a consistent record to work in multi-disciplinary environments.

Ways to stand out from the crowd:

• Extensive experience working with PCI Express (PCIe) protocols in a verification or automation capacity.

• Expertise in cloud-based infrastructure tools such as AWS or Azure for running scalable test environments.

• Knowledge of networking protocols, Linux environments, and scripting languages like Python for test automation.

• Experience working with Jenkins pipelines for continuousintegration/continuousdeployment (CI/CD).

• Familiarity with containerization technologies (Docker/Kubernetes) for running test environments.