Join our dynamic team at NVIDIA, where we're pushing the boundaries of what's possible with our coordinated access control platform. Our UAM platform is a cutting-edge "policy as code" system that enforces access control decisions across numerous NVIDIA cloud services. As our cloud offerings continue to expand, you'll have the opportunity to introduce new features, enhance scalability and reliability, and boost the operational efficiency of our foundational cloud services.
In this role, you'll be at the forefront of building and operating NVIDIA Cloud’s foundational services for Identity and Access Management through our Unified Access Management Platform (UAM).
What you will be doing:
Spearhead initiatives to introduce innovative features and integrations on the UAM Platform.
Collaborate with diverse service teams, playing a crucial role in the successful delivery of critical organizational objectives.
Take ownership of the end-to-end process for designing, coding, and rolling out features to production, ensuring the successful integration and adoption of UAM with other cloud services across NVIDIA.
Participate in on-call support schedules, providing essential after-hours service support.
What we need to see:
Possess a BS or MS in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.
Demonstration of 5+ years of proven experience in deep learning, machine learning, computer vision, or applied AI.
Display of experience on cloud services at scale: millions of transactions, low latency, high availability
Verifiable expert-level knowledge of AWS Cloud, Kubernetes (k8s), and the GitOps model.
Validation of understanding of different authorization strategies, including access control list (ACL), role-based access control (RBAC), and attribute-based access control (ABAC).
Activity as a team player who actively mentors others, shares knowledge, and contributes to a positive team environment.
Ways to stand out from the crowd:
General understanding of Cloud Native Computing Foundation (CNCF) projects.
Worked with multiple IaaS cloud platforms, including AWS, GCP, Azure, and OCI.
Experience building “function as a service” cloud services such as AWS Lambda, Google Cloud Functions, Azure Functions, etc.
Background in software development with AI tools (Codex, Claude, etc.)
With a competitive salary package and benefits, 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 in the world working for us. Are you a committed and autonomous Software Engineer who loves challenges? Do you have a genuine passion for advancing Identity and Access Management across a variety of industries? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- BS or MS in Computer Science, Electrical Engineering, Computer Engineering, or related technical field, or equivalent experience.
- 5+ years proven experience in deep learning, machine learning, computer vision, or applied AI.
- Experience building and operating cloud services at scale (millions of transactions, low latency, high availability).
- Expert-level knowledge of AWS Cloud, Kubernetes (k8s), and the GitOps model.
- Understanding of authorization strategies including ACL, RBAC, and ABAC.
- Willingness to participate in on-call support schedules and provide after-hours service support.
- Demonstrated team collaboration and mentoring experience.
- Familiarity with Cloud Native Computing Foundation (CNCF) projects.
- Experience with multiple IaaS cloud platforms (AWS, GCP, Azure, OCI).
- Experience building function-as-a-service/cloud functions (AWS Lambda, Google Cloud Functions, Azure Functions).
- Background using AI development tools (e.g., Codex, Claude).
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.”
