Jobs at NVIDIA

Build and operate CI/CD, testing, release, and GPU-enabled infrastructure for NVIDIA Isaac Sim. Responsibilities include managing cloud and on-premises runners, integrating automated simulation and performance tests, optimizing build pipelines, creating reproducible environments and artifacts, monitoring infrastructure health, troubleshooting complex software and GPU issues, and strengthening release security and traceability.

Leads NVIDIA’s Performance Engineering team, overseeing benchmarking, performance characterization, data analysis, automation, and product readiness. Defines methodologies and priorities, guides investigations across hardware and software systems, analyzes regressions and bottlenecks, and translates findings into product recommendations. Develops engineers and collaborates with engineering, product, and business teams across global locations. The role spans GPUs, CPUs, operating systems, applications, AI workloads, robotics, and emerging computing platforms.

Build and lead development of NVIDIA’s open-source NeMo Core Platform for executing, evaluating, deploying, and optimizing agentic AI systems across local, Docker, Kubernetes, Slurm, on-premises, and air-gapped environments. Responsibilities include designing platform APIs, plugin architecture, job orchestration, SDKs, reliability and observability capabilities, testing, performance improvements, technical leadership, code reviews, mentoring, and cross-team problem solving.

Act as a technical advisor to academic AI labs working on foundational models. Identify research workloads suited to NVIDIA platforms, engage researchers to remove infrastructure blockers, track frontier research, partner with internal teams to drive adoption, translate academic feedback into product and program improvements, and support NVIDIA participation at major research venues through content, workshops, and lab programs.

The Senior ASIC Verification Engineer will verify high-speed coherent interconnect designs, develop verification infrastructure, and ensure correctness of the designs while collaborating with various teams.

Leads a distributed team of security and infrastructure engineers responsible for securing NVIDIA’s large-scale DGX Cloud GPU fleet. Sets technical direction for security control planes and foundational services, oversees hiring and talent development, drives measurable risk reduction, and ensures operationally ready engineering delivery. The role requires cross-functional influence across platform, SRE, networking, and security teams, along with expertise in cloud-native architecture, Kubernetes, identity and access, policy enforcement, and vulnerability management.

As a Senior Formal Verification Engineer, you will verify ASICs using formal methods, collaborate multi-functionally, lead methodology enhancements, and mentor junior engineers while ensuring compliance and correctness.