N

NVIDIA

Designs the chips and software that power AI

Tech Lead Cryptographic Asset Platform

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field, or equivalent experience.
  • 8+ years building and operating production software, including ownership of a service with real availability expectations.
  • Strong hands-on engineering in Python, Java, Go, or similar across the full stack of a cloud service.
  • Working knowledge of applied cryptography, including PKI, key management, digital signatures, and HSM-backed systems.
  • Practical experience applying AI and agentic workflows to real engineering problems, with an honest view of where they help and where they do not.
  • Clear written communication and proactive habits; customers working to fixed silicon schedules should hear from the team before they have to ask.

Responsibilities

  • Build a cryptographic asset registry, including key and certificate inventory, lifecycle tracking, and interfaces that make them usable.
  • Instrument and govern the registry with telemetry, audit evidence, and policy-based authorization for sensitive material.
  • Own signing flows end to end, including job type design, API and CLI surfaces, and the customer experience built on top of them.
  • Support post-quantum production signing, including ML-DSA dual signing on HSM-backed keys, LMS software keys, and hybrid flows.
  • Build agent-assisted self-service paths for customers and determine where a human must remain in the loop.
  • Measure deflection rate, time to first signature, and onboarding time, and assess whether the work improves these metrics.

Desired Qualifications

  • Hands-on experience with code signing, HSM-backed key management, or software supply chain security.
  • Experience replacing a ticket-driven process with genuine self-service and being able to identify what improved outcomes.
  • Interest in growing into broader technical leadership.

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

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs