Senior Agentic Systems Engineer, Neural Graphics

Location: US, CA, Santa Clara, US, WA, Redmond

Time Type: Full time

Job Description

NVIDIA’s platform and innovations help developers bring artificial intelligence to the physical world. Our technologies accelerate the development of self-driving cars, humanoid robots, smart cities, and more. Omniverse NuRec is one of our key technologies for Physical AI that uses gaussian splatting and generative AI to convert real environments into simulations developers can use to train and validate their products. Our NuRec engineering team is racing to close the gap between research results and production-grade software that can run reliably on thousands of GPUS. We are now looking for an automation engineer with a passion for AI and agentic automation to help accelerate our development and release activities while simultaneously raising our bar for software quality.

What you'll be doing:

• Build and improve NuRec release automation: Drive down human effort and calendar time required to deliver software our customers can build their businesses on top of. You will ensure product security, licensing compliance, and SQA are not just manual checks, but integrated, reliable inputs to the release pipeline that allow for high-frequency, low-risk deployments.

• Drive AI & Agentic Adoption in NuRec: Act as a bridge between NuRec and NVIDIA’s core agentic workflow teams. You will not only assess and adapt the latest AI processes but actively drive their integration into our daily work. By demonstrating how agentic workflows can contribute to architecture, implementation, verification, and testing, you will "take the team with you" and grow the team's capabilities.

• Build and deploy automation and AI workflows that support open source initiatives, enabling us to better serve our developers. We would love to have an Agentic Maintainer!

• Create repeatable packaging and publishing flows (containers, wheels, artifacts) with provenance, versioning, and rollback—supporting internal releases and distribution (e.g., NGC).

What we need to see:

• BS/MS in Computer Science, Engineering, or related field (or equivalent experience).

• 8+ years building and shipping production software, with proven impact on CI/CD, Release automation, build systems, test infrastructure, or developer productivity.

• Curiosity about neural graphics and ability to collaborate with both researchers and engineers.

• Proficiency in building agentic workflows. Practical insight into the strengths of tools like Cursor, Codex, Claude Code, OpenClaw, and Code Rabbit and hands-on experience combining them to ship excellent code fast.

• Strong programming skills in Python and C++.

• Proficiency with Bazel. Cmake, Docker

• Prior exposure to GPU accelerated code, including basic system profiling with tools such as NSight.

Ways to stand out from the crowd:

• Experience building GPU‑aware CI systems and reproducible performance/regression tracking for ML or graphics workloads.

• Release automation with provenance and policy enforcement (SBOM/signing, policy‑as‑code, gated promotion).

• Success integrating agentic tooling into real engineering workflows with guardrails, auditability, and measurable adoption.

• Leadership through measurable impacts. You haven't just deployed agents; you can show how they moved the needle on 'Mean Time to Green' and actually freed up human developers.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.Applications for this job will be accepted at least until March 7, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.