Top Tech Jobs & Startup Jobs

As a Technical Marketing Engineer at NVIDIA, you will build high-performance demos, develop media pipelines, and promote AI for live media, requiring extensive industry experience.

Lead and mentor a team of 4-8 engineers to build and evolve AI developer tools for local and cloud GPU workflows. Define roadmaps with product partners, manage cross-team dependencies, drive technical execution, improve engineering efficiency via tools and automation, and ensure security and compliance.

Lead and mentor a firmware engineering team developing out-of-band/side-band management and peripheral firmware for next-generation networking products. Drive planning, scheduling, and execution across pre- and post-silicon phases, collaborate with architecture and software teams, and perform hands-on development and system debugging to deliver embedded, real-time networking features.

Develop and deliver system-level IP and RTL to measure performance on GPUs/SOCs. Create and automate flows, run/debug RTL checks (CDC, clocks, resets, latency), implement RTL features, and collaborate with architects, designers, and software engineers to support projects and performance monitoring.

This role involves building FPGA prototypes, lab debugging, coordinating with teams, and releasing prototypes to customers. Requires extensive FPGA prototyping experience.

As an ASIC Clocks Design Engineer, you'll architect clock domains, collaborate across teams, and innovate clocking topologies to enhance GPU and CPU design performance.

Develop, implement, and support ATE test programs for GPUs and assembled boards; debug test code and automation scripts; collaborate with product, DFT, and IC design teams; work with manufacturing to improve yield, test coverage, capacity, and reduce production costs.

Lead development and maintenance of node provisioning, OS image build/packaging, and nodepool lifecycle for NVIDIA Kubernetes Engine. Build CAPI providers, BYON onboarding, hardened image pipelines with automated CVE remediation and compliance gating, and automated test suites. Troubleshoot node-layer failures at scale, collaborate with upstream Kubernetes/CAPI communities, and ensure reliable GPU-optimized node operations across large clusters.

Lead floorplan design from early architecture through physical implementation for high-performance SoCs/CPUs/GPUs. Collaborate with cross-functional teams to optimize area, power, timing, and interconnect; develop AI-driven workflows and tools; identify technical risks and drive mitigation to meet product goals.

Create developer-facing technical materials and demos for NVIDIA Omniverse libraries, SDKs, and APIs. Produce tutorials, reference architectures, blogs, videos, and launch collateral to drive developer adoption for simulation, rendering, robotics, synthetic data, and industrial digitalization workflows. Collaborate with engineering, product, marketing, and sales to identify gaps in the developer journey and translate platform capabilities into clear technical narratives and hands-on content.