Senior Systems Software Engineer - Omniverse

NVIDIA•US, CA, Remote, IL

1d•$184,000 - $356,500

About The Position

NVIDIA is seeking a Senior Systems Software Engineer to help build the next generation of AI-driven developer and robotics workflows. This role involves technical leadership, defining software direction, shaping architecture, and guiding projects from design to delivery. The team connects NVIDIA's software stack, including cloud services, AI agents, and robotics platforms, developing tooling and integrations for AI-assisted development and robotic applications. The ideal candidate enjoys working at the intersection of AI, cloud infrastructure, and real-world systems, and can translate complex problems into robust solutions.

Requirements

Bachelor's in Computer Science, Engineering, or a related field, or equivalent experience.
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.
Strong grounding in engineering practices including unit and integration testing, code review, CI/CD, and observability.

Nice To Haves

Hands-on experience with robotics platforms, middleware such as ROS, or NVIDIA robotics stacks.
Strong understanding and direct experience of distributed systems, containers, cloud-connected services, or Kubernetes.
Experience serving as the technical lead for a project, subsystem, or small team, including ownership of design direction and delivery.
Practical experience building or integrating robotics systems, whether in simulation, perception, control, runtime, or fleet tooling.
Experience crafting or deploying AI coding agents or LLM-based developer tools, such as plugins, internal tools, or research prototypes.
Contributions to open source, technical writing, internal platform efforts, or other work that demonstrates technical leadership and engineering judgment.

Responsibilities

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, emphasizing 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.