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Senior Software Engineer, Production Automation and Tooling - Israel, Yokneam | Nvidia Job


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Job Opportunity Details

Type

Full Time

Salary

Not Telling

Work from home

No

Weekly Working Hours

Not Telling

Positions

Not Telling

Working Location

Israel, Yokneam, Israel, Israel   [ View map ]

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.


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  • Organization Details
    Nvidia
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