Senior Software Engineer, Unified Access Management Platform

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 6 AWS @ 4 AWS Lambda @ 4 Azure @ 4 Codex @ 6 Computer Vision @ 6 Deep Learning @ 6 Google Cloud Functions @ 4 IaaS @ 4 Kubernetes @ 4 Machine Learning @ 6 Oracle @ 4 Software Development @ 6

Details

Join NVIDIA's team building and operating foundational cloud services for Identity and Access Management through the Unified Access Management Platform (UAM). UAM is a policy-as-code system that enforces access control decisions across numerous NVIDIA cloud services. As NVIDIA's cloud offerings expand, this role will introduce new features, improve scalability and reliability, and increase the operational efficiency of foundational cloud services.

Responsibilities

Lead initiatives to introduce innovative features and integrations on the UAM Platform.
Collaborate with diverse service teams to support the successful delivery of critical organizational objectives.
Own the end-to-end process of designing, coding, and deploying features to production.
Ensure the successful integration and adoption of UAM across NVIDIA cloud services.
Participate in on-call support schedules and provide after-hours service support.
Mentor teammates, share knowledge, and contribute to a positive team environment.

Requirements

Bachelor's or master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.
5+ years of proven experience in deep learning, machine learning, computer vision, or applied AI.
Experience operating cloud services at scale, including millions of transactions, low latency, and high availability.
Expert-level knowledge of AWS Cloud, Kubernetes, and the GitOps model.
Understanding of authorization strategies, including access control lists (ACL), role-based access control (RBAC), and attribute-based access control (ABAC).

Preferred Qualifications

General understanding of Cloud Native Computing Foundation (CNCF) projects.
Experience with multiple IaaS cloud platforms, including AWS, Google Cloud Platform, Azure, and Oracle Cloud Infrastructure (OCI).
Experience building function-as-a-service cloud services such as AWS Lambda, Google Cloud Functions, or Azure Functions.
Background in software development using AI tools such as Codex and Claude.

Benefits

Competitive salary package.
Equity and benefits.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.

Applications will be accepted at least until August 11, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.