Senior Systems Software Engineer – Omniverse

NVIDIA

Senior Systems Software Engineer developing and leading AI-driven developer and robotics workflows at NVIDIA. Designing scalable software libraries and integrating services for modern development and robotics applications.

Posted 5/26/2026full-timeRemote • Illinois, New York, Oregon, Texas • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Tech Stack

Tools & technologies

CloudGoKubernetesPythonRust

About the role

Key responsibilities & impact

Design, implement, and own scalable, high-performance software libraries, features and services across the stack.
Contribute to software architecture and technical design across multiple components and frameworks, with an emphasis on robustness, flexibility, and long-term maintainability.
Help define projects and execution plans by clarifying scope, identifying dependencies and tradeoffs, and translating broad goals into actionable technical work.
Provide technical leadership to a team or multi-functional group by guiding implementation, reviewing design and code, and helping drive progress against timeline and strategy.
Operate effectively in ambiguous spaces, making sound technical decisions and moving work forward with a high degree of autonomy when needed.
Build and iterate on AI-assisted development workflows, including code generation, refactoring, CI/CD automation, and practical use of coding agents in real engineering environments.
Collaborate with robotics and simulation teams to integrate services and tools into robotics workflows and, where relevant, extend platforms such as Isaac or ROS.
Contribute to strong engineering practices around testing, code review, documentation, observability, reliability, and operational quality.

Requirements

What you’ll need

Bachelor's in Computer Science, Engineering, or a related field, or equivalent experience along with 8+ years of experience building software systems in C++, Python, Rust, Go, or similar languages
Strong software design and architecture skills, including the ability to reason across component boundaries and define clean, scalable interfaces
Validated ability to lead technically: shaping designs, driving project definition, guiding implementation, and helping teams implement effectively
Ability to operate as a self-sufficient senior engineer in areas that may initially be ambiguous or loosely defined
Experience integrating multiple systems, frameworks, or services into cohesive end-to-end solutions
Exposure to cloud-native development such as containers, Kubernetes, Helm, or similar technologies
Demonstrated interest in AI coding agents, LLM-powered tools, or modern AI-assisted development workflows
Interest in robotics, simulation, or autonomous systems; hands-on experience with robotics platforms, middleware such as ROS, or NVIDIA robotics stacks is a plus
Strong grounding in engineering practices including unit and integration testing, code review, CI/CD, and observability.

Benefits

Comp & perks

Highly competitive salaries
Comprehensive benefits package
Equity opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

C++PythonRustGosoftware designsoftware architectureunit testingintegration testingCI/CDobservability

Soft Skills

technical leadershipproject definitionguiding implementationself-sufficiencyproblem-solvingcollaborationcommunicationdecision-makingadaptabilityautonomy