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NVIDIA

Senior Software Engineer – Omniverse

NVIDIA

Software Engineer at NVIDIA contributing to AI-driven developer and robotics workflows. Implementing cloud-native services and collaborating with multi-functional teams in a supportive environment.

Posted 4/22/2026full-timeRemote • California, Illinois, New York, Texas, Washington • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact
  • Implement features and services across the stack (back‑end, cloud, tooling), writing clean, maintainable code and contributing to design discussions.
  • Help build and iterate on AI‑assisted development workflows (e.g., code generation, refactoring, automation in CI/CD), and experiment with powerful coding agents in real engineering use cases.
  • Develop and operate services on Kubernetes using Helm and major cloud provider APIs (e.g., AWS, Azure, GCP), including deployment, monitoring, and troubleshooting.
  • Collaborate with robotics and simulation teams to integrate services and tools into robotics workflows; learn and, where applicable, extend platforms such as Isaac or ROS.
  • Follow good engineering practices around testing, code review, documentation, observability, and reliability, and contribute to improving them over time.
  • Work closely with teammates across cloud, AI, and robotics, ask questions, share knowledge, and continuously expand your skills.

Requirements

What you’ll need
  • Bachelor’s in Computer Science, Engineering, or a related field (or equivalent experience).
  • 8+ years of experience with programming in Python and/or C++.
  • Understanding of core software design principles and APIs.
  • Exposure to cloud‑native development (containers, Kubernetes, Helm, or similar technologies).
  • Demonstrated interest in AI coding agents, LLM‑powered tools, or modern AI‑assisted development workflows (personal projects, coursework, or professional experience).
  • Interest in robotics, simulation, or autonomous systems; any hands‑on experience with robotics platforms, middleware (e.g., ROS), or NVIDIA robotics stacks is a plus.
  • Familiarity with unit and integration testing, code reviews, CI/CD, and basic monitoring/observability concepts.
  • Collaboration and communication skills; comfortable working with multi-functional partners.

Benefits

Comp & perks
  • Equity and benefits
  • Highly competitive salaries
  • Comprehensive benefits package

ATS Keywords

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Hard Skills & Tools
PythonC++KubernetesHelmCI/CDunit testingintegration testingAPIscloud-native developmentsoftware design principles
Soft Skills
collaborationcommunicationproblem-solvingknowledge sharingteamworkadaptabilityinterpersonal skillscontinuous learningdesign discussionsengineering practices
Certifications
Bachelor’s in Computer ScienceBachelor’s in Engineeringrelated field degree