Senior Software Engineer, Production Automation and Tooling

NVIDIA is looking for a talented Software Engineer to join the System Production Engineering group. You will be part of a growing team building the automation frameworks and tooling that validate security on NVIDIA NICs, Smart NICs/DPUs, and Network Switches before they ship. You will work hands-on alongside the team lead, co-developing shared codebases and taking full ownership of standalone modules when needed.

This is a software engineering role first. Your primary language is Python, your primary output is automation frameworks and production tooling — not firmware, not embedded code, not C/C++ feature development. The security domain is the context you'll operate in; it is not a prerequisite. If you code every day, think in abstractions and systems, and raise the quality bar around you — we want to talk.

What you’ll be doing

• Design and own Python automation frameworks and tooling that validate security properties of NVIDIA networking products — from architecture through CI/CD integration

• Design, develop and maintain Python-based test automation frameworks and test suites for NVIDIA networking products (NICs, DPUs, switches) — including building test infrastructure from scratch

• Own the full lifecycle of automation modules: design, implementation, debugging, CI/CD integration, and production maintenance — end-to-end, with no handoffs

• Collaborate with hardware and security architects — translating specs and vendor APIs into clean Python abstractions without needing deep hardware engineering expertise

• Collaborate on shared codebases using AI-assisted development tools as a core part of your daily workflow — this is how we work, and you will be expected to hit the ground running with it

• Be data-oriented — able to perform analysis on code quality, coverage, and production metrics, and translate findings into clear, data-based decisions and recommendations

What we need to see

• BA/BSc in Computer Science, Computer Engineering or Electrical Engineering (or equivalent)

• 5+ years of software development experience with hands-on Python — specifically writing automation frameworks, scripts, or tooling in Python, not just application-level development

• Strong software design fundamentals: you think in abstractions, interfaces, and design patterns — not scripts. Object-oriented design is natural to you, not something you look up

• End-to-end ownership: demonstrable experience owning a Python automation project from design through execution, reporting, and CI/CD integration. Be prepared to share concrete examples or code during the interview process

• Proven AI collaboration: you must demonstrate that working with AI-assisted development tools (e.g. GitHub Copilot, Cursor, Claude, or similar) is already part of your development practice — not something you are exploring

• Module ownership: ability to independently own and deliver standalone software modules while also working fluidly as part of a collaborative team

• OS proficiency: proficient in Windows and Linux operating systems, including command-line debugging and scripting

• Execution under pressure: ability to drive projects to completion under schedule pressure and across multiple workstreams simultaneously

• Excellent verbal and written communication in both Hebrew and English

Ways to stand out from the crowd

• Automation at scale in production: you have shipped and maintained automation frameworks in real production environments, under schedule pressure — not just in controlled lab or side-project settings

• You live and breathe AI-assisted development: Vibe Coding is your natural mode of work; you don't just use AI tools occasionally, you actively seek them out, integrate them into your workflow, and can demonstrate the productivity gains they bring

• Security domain curiosity: you don't need hardware security expertise coming in, but you're intellectually curious about new technical domains and ramp up quickly on specs, vendor APIs, and security concepts when needed

• System-level thinking: you understand the full stack from the code you write to the infrastructure it runs on — even if you don't live in the hardware layer

• NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you’re creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.