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NVIDIA

Designs the chips and software that power AI

Senior System Software Engineer - Signing Platform

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science in Computer Science Engineering or a related field of study, or equivalent experience.
  • At least 10 years of experience building and operating production software, including ownership of a service, on-call responsibility, and incident resolution under release pressure.
  • Strong hands-on engineering experience in Python, Java, Go, or similar, with AWS, Kubernetes, CI/CD, and infrastructure as code.
  • A solid understanding of applied cryptography, including public key infrastructure, digital signatures, and key management, or the demonstrated ability to learn an unfamiliar technical domain deeply.
  • Clear communication in English and sound judgment to keep customers informed during incidents.

Responsibilities

  • Own the Simple Signing Service for Israel-based teams during local hours by triaging, debugging, resolving, and escalating issues with context to the wider US and India team.
  • Review and deploy production fixes, and address root causes in the platform to prevent recurring failures.
  • Onboard Networking and other Israel-based teams to signing and key-generation flows, and make the onboarding process fast.
  • Drive AI-enabled automated self-service through the 3S Copilot, Model Context Protocol integrations, runbooks, and documentation so the region can unblock itself across time zones.
  • Represent the region in planning by bringing release calendars and bring-up achievements into the roadmap before they become blocking issues.
  • Partner closely with the US and India teams and with Networking DevOps and release management in Israel.
  • Help hire and mentor the growing team, including interviewing and onboarding future engineers.

Desired Qualifications

  • Hands-on experience with code signing, hardware security modules, secure boot, or software supply chain security.
  • Familiarity with NVIDIA Networking release and build environments, including Gerrit, GitLab, Artifactory, firmware, and DOCA pipelines.
  • Experience using AI and agentic tooling to remove repetitive work, with pragmatic judgment about where it is useful.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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