Senior Agentic Systems Engineer, Neural Graphics

Nvidia

Actively hiring
Santa Clara, US · Redmond, US Posted 87 days ago $184,000–$287,500 / year
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At a glance

AI generated

TL;DR

Join NVIDIA’s NuRec engineering team as an automation engineer with a focus on AI-driven processes to accelerate development and release activities. You will build and enhance release automation to reduce manual effort and ensure product security and compliance, integrating reliable inputs into the pipeline for high-frequency deployments. Additionally, you will bridge the gap between NuRec and core agentic workflow teams by driving the adoption of AI tools like Cursor and Codex, enhancing architecture, implementation, verification, and testing processes. Key responsibilities include creating repeatable packaging flows with versioning support and deploying automation workflows that aid open-source initiatives. The role requires a strong background in software development, particularly in Python and C++, along with proficiency in Bazel, CMake, Docker, and GPU-accelerated code profiling tools like NSight. Experience with agentic tool integration and proven success in reducing mean time to green is essential for this high-impact position focused on Physical AI technologies.

Skills

Python C++ Bazel Cmake Docker CI/CD GPU NSight Kubernetes Terraform AWS GitLab GitHub Prometheus Grafana OpenClaw Cursor Codex Claude Code Code Rabbit

What you'll do

  • Build and improve NuRec release automation to reduce manual effort and ensure product security and compliance.
  • Drive adoption of AI and agentic workflows in NuRec by integrating advanced tools into daily engineering practices.
  • Create repeatable packaging and publishing flows with versioning and rollback support for internal releases and distribution.
  • Develop automation and AI workflows that enhance open source initiatives and developer support.
  • Build GPU-aware CI systems and track reproducible performance and regression metrics for ML or graphics workloads.

What we're looking for

  • BS/MS in Computer Science or related field with 8+ years of production software development experience.
  • Proven expertise in CI/CD, release automation, build systems, and developer productivity tools.
  • Proficiency in Python and C++ programming languages, along with Bazel, CMake, and Docker.
  • Experience building GPU-aware continuous integration systems and tracking performance/regression.
  • Strong skills in agentic workflows and integrating AI processes into daily engineering tasks.

Market check

Salary context

This $184,000–$287,500 range sits above 68% of similar postings on FindRole.

Peer median band

$184,000–$262,400

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$183,650–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 801 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.

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