Top Tech Jobs & Startup Jobs

Develop and optimize software for NVIDIA's autonomous vehicle platform, collaborating with teams and providing technical support for productization.

Design and implement functional GPU architecture models and simulation platforms. Develop tools, tests, and validation infrastructure, collaborate with architecture and engineering teams, and apply AI/ML to improve simulation and analysis workflows.

You will integrate communication libraries into AI frameworks, analyze workloads, improve AI compilers, and author custom kernels for performance.

Conduct original generative AI research across image, video, 3D, and audio generation. Build and train large-scale models, create research prototypes using extensive datasets and compute, collaborate with internal and external researchers, and transfer successful technologies to product teams.

The role involves integrating AI supercomputing systems into datacenters, collaborating with engineering teams, and producing documentation for processes related to datacenter integration and fit-out.

The Senior Technical Program Manager will lead the lifecycle for the Circuit Solutions Group, optimizing engineering workflows, handling complex dependencies, and driving operational excellence through schedule management and automation.

Conduct original research at the intersection of AI, GPU computing, and electronic design automation. Develop EDA algorithms using deep learning, reinforcement learning, agentic AI, and GPU-accelerated optimization for ASIC and VLSI design flows. Collaborate with circuit, VLSI, architecture, and product teams; publish research; present findings at conferences; and translate innovations into practical products.

Leads global connectivity strategy for NVIDIA AI Factories, including terrestrial and subsea fiber infrastructure, carrier interconnection, regulatory engagement, economic modeling, risk assessment, and infrastructure investment. Coordinates commercial, engineering, government, and analytical stakeholders to deliver resilient, high-capacity, low-latency connectivity while addressing data residency, security, encryption, and international regulatory requirements.

The role involves validating clocking structures in products, developing test plans, automation, and partnering with design teams to ensure high-quality verification of ASIC designs.

Owns product strategy, roadmaps, and go-to-market plans for NVIDIA AI post-training and reinforcement learning frameworks, libraries, and SDKs. The role partners with researchers, production model builders, customers, leadership, and marketing to optimize large-scale performance, resilience, and user experience on NVIDIA GPUs. Responsibilities include creating and scaling software products, guiding open-source ecosystem efforts, and advancing research-to-production workflows.