Job description

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 . Applications for this job will be accepted at least until August 11, 2026. 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.

Requirements

Must-haves

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).
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.
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.
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.)
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 11, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaiawskubernetesgcpazure

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

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