Senior Security Software Engineer, SPE at NVIDIA

Yokneam Ilit, Haifa District, Israel -

Full Time

Start Date

Immediate

Expiry Date

13 Jul, 26

Salary

0.0

Posted On

14 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Automation Frameworks, Software Security, CI/CD, Linux, Windows, Hardware Security, Debugging, AI-assisted Development, Networking, Scripting, System Architecture, Cryptographic Modules, Secure Boot, Data Analysis

Industry

Computer Hardware Manufacturing

Description

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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

You will lead the development of security libraries and integrations while designing and maintaining Python-based test automation frameworks for networking products. The role involves collaborating with hardware architects to debug production issues and utilizing AI-assisted tools to optimize software development workflows.