Senior Security Software Engineer, SPE
Numeric
Software Engineering
Yokne'am Illit, Israel
Posted on Apr 15, 2026
NVIDIA is looking for a talented Software Engineer to join the System Production Engineering group. You will be part of a growing team that is redefining security automation and tooling for NICs, Smart NICs/DPUs, and Network Switches. 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 role for someone who codes every day, thinks in systems, and raises the quality bar around them.
What you’ll be doing:
Lead the development of our products’ security libraries & integrations and join the efforts to bring our SW tools to the next level
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
Utilize test suites in tight collaboration with the test-development team to find, debug and drive resolution of problems in the production process — assuming full ownership of security-related debugging and issue resolution while ensuring alignment between security software and test methodologies
Work directly with hardware components and security architects — reading hardware specs and vendor APIs to develop software that correctly integrates with and applies security to those components
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
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
Hardware security knowledge: familiarity with hardware security concepts, secure boot, cryptographic modules, or security mechanisms at the HW/SW boundary
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.