2 months ago
Base Salary
$184k - $288k/yr
Responsibilities
- Deploy full Isaac Sim runtimes in GPU-aware NVIDIA Cloud Functions containers, including container packaging, GPU initialization, and runtime utilities.
- Build structural and runtime validation services for USD compliance, physics, sensors, rendering, and behavior-based tests.
- Develop AI- or rule-based grading and automated remediation pipelines that fix failed assets and revalidate them.
- Own scaling and performance optimization across multi-GPU cloud environments, including function-to-function networking, gRPC bottlenecks, and in-cluster proxy behavior.
- Automate verification videos, thumbnails, feature-level reports, validation metadata, and traceability to quality gates.
- Establish CI/CD, cluster verification, monitoring, logging, metrics, and tracing pipelines.
- Implement atomic updates and safe failure handling to prevent corruption of the primary asset library.
Requirements
- BS or MS degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 8+ years of professional experience working on DevOps and/or cloud simulation.
- Extensive production-grade DevOps, SRE, or infrastructure engineering experience focused on GPU-backed cloud services.
- Expertise with Kubernetes, Docker, and CI/CD pipeline development.
- Experience with automated testing frameworks, preferably involving AI/ML inference, computer vision, or rule-based validation.
- Proficiency in Python and systems scripting for test orchestration and pipeline automation.
- Ability to design and maintain distributed job lifecycle services with submit, poll, fetch, and cancel operations and asynchronous failure handling.
- Ability to diagnose and solve distributed network bottlenecks involving gRPC and function-to-function communication.
- Preferred experience with NVCF or DGX Cloud, Isaac Sim, Omniverse, USD, Sensor RTX, robotics simulation, physical AI, large-scale content pipelines, automated remediation, cluster verification, stress testing, or deployment validation at scale.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until September 8, 2026.
- This posting is for an existing vacancy.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.