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NVIDIA

Designs the chips and software that power AI

Senior ICPE Production Security Software Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeYokne'am Illit, IsraelNo salary listedIn-person

About the Job

Requirements

  • A BSc in Computer Science or a related field is required.
  • At least 5 years of related software development experience focused on security is required.
  • Demonstrated technical ownership of secure production provisioning flows, including PKI and certificate provisioning, device key injection, HSM-integrated manufacturing execution, fuse and access-control sequencing, and root-cause debugging across architecture, firmware, and production-test interfaces is required.
  • Programming experience in Python is required.
  • Experience with Linux operating systems is required.
  • Hands-on experience collaborating with global, cross-functional teams is required.

Responsibilities

  • Lead all security aspects in the integrated circuit production engineering team.
  • Collaborate with security architects to define security workflows across production lines.
  • Work with test engineers to ensure security-related features are included and validated in the test program.
  • Work with HSM vendors to provision production lines with required security appliances and collaborate with production-line teams to integrate them smoothly.
  • Establish and enforce security reviews across internal software development efforts, and collaborate with corporate tools and processes to uphold security compliance standards.

Desired Qualifications

  • Excellent programming, debugging, performance analysis, and test design skills.
  • A background in software and hardware product integration.
  • Knowledge of hardware testing, mass-production flows, and yield-improvement methodologies.

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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