For more than two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With a rare focus on this field, we offer specialized platforms for the gaming, professional visualization, data center and automotive markets. Our work is at the center of the most consequential mega-trends in technology - virtual reality, artificial intelligence and self-driving - and there has never been a more exciting time to join our team.
Among other internal services, we develop and operate a globally distributed data storage and auth services based on microservice architecture. We’re looking for a new team member who will help us to improve our auth and storage systems, creating new microservices, improving existing ones, doing regression, stress and performance testing.
What you'll be doing:
Participate in architecture design process of our distributed backend systems
Maintain and improve existing authentication and authorization microservices along with developing new ones (OCaml / Rust)
Connect with customers and provide technical support for APIs and client use cases
Improve unit and integration tests coverage
Participate in code review process
What we need to see:
Degree in Computer Science, Computer Engineering, or closely related field
5+ years of relevant experience, ideally in the area of system programming
Experience with programming and debugging skills in Linux environment
Deep understanding of HTTP and REST or other HTTP-based RPC protocols, e.g: Twirp or gRPC
Experience with multi-threaded and asynchronous network programming concepts and frameworks (NodeJS, Akka, Tornado, Erlang/OTP, Rust/Tower)
Strong habit to verify and document your work
Understanding deployment process and networking in Kubernetes
Excellent communication skills in verbal and written technical English, ability to present the current status and final project deliveries
Ways to stand out from the crowd:
Hands-on experience with Cassandra or similar databases and general curiosity about distributed systems and algorithms
Understanding of how modern protocols such as OAuth and OIDC work. Expertise in Active Directory and LDAP would be a big plus.
Track record of building secure systems handling sensitive data
Ability to debug and profile code on Linux: perf, tcpdump / Wireshark, strace, Valgrind, etc
Understanding functional programming paradigm and static strong type systems (relevant knowledge of Haskell, OCaml, F#, Scala, Rust, etc)
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people on the planet working for us and, due to unprecedented growth, our best-in-class engineering teams are growing fast. If you're a creative and autonomous engineer with a genuinely real passion for technology, we want to hear from you.
Skills Required
- Degree in Computer Science, Computer Engineering, or a closely related field
- 5+ years of relevant experience, ideally in system programming
- Programming and debugging experience in a Linux environment
- Deep understanding of HTTP and REST or HTTP-based RPC protocols such as Twirp or gRPC
- Experience with multithreaded and asynchronous network programming concepts and frameworks
- Strong habit of verifying and documenting work
- Understanding of deployment processes and networking in Kubernetes
- Excellent verbal and written technical English communication skills
- Ability to present project status and final project deliveries
- Hands-on experience with Cassandra or similar databases
- Understanding of OAuth and OIDC protocols
- Expertise in Active Directory and LDAP
- Experience building secure systems handling sensitive data
- Ability to debug and profile code on Linux using tools such as perf, tcpdump, Wireshark, strace, or Valgrind
- Understanding of functional programming and statically strongly typed languages such as Haskell, OCaml, F#, Scala, or Rust
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
