Top Tech Jobs & Startup Jobs

Customer-facing AI solutions architect who accelerates model training and deployment on GPUs, builds proofs-of-concept (LLMs, recommenders), develops/debugs AI framework code, profiles and optimizes GPU performance, and partners with engineering, product, and sales to deliver production AI solutions.

Design and deploy production-ready data products and ETL pipelines that detect anomalies, correlate unstructured feedback with telemetry, predict churn and capacity needs, and translate signals into engineering actions. Own systems across the stack, build scalable algorithms for root-cause analysis, and collaborate with product and infrastructure teams to prioritize roadmap items.

Lead and grow two engineering teams building NVIDIA's internal S3-compatible object storage and data movement tooling. Own roadmap execution, service reliability (SLOs, capacity, incident response), CI/CD and observability, recruiting and mentorship, and cross-team collaboration to ensure high-performance, scalable storage for AI workloads at exabyte scale.

Lead and optimize developer ecosystem operations: manage activation calendar, budgets, priorities, and processes. Build AI agents, dashboards, scripts, and automations to reduce manual work, improve reporting and visibility, and drive adoption of new tools and operating rhythms across internal and external teams.

Lead and develop the MD Simulation Engineering team, focusing on GPU-accelerated simulation software and managing cross-functional partnerships to drive project success.

The role involves optimizing CUDA kernels for geometric neural networks, building interfaces for PyTorch and JAX, and collaborating with research teams to develop GPU-accelerated software for scientific applications.

The Senior GPU Memory Architect will develop memory architecture, perform simulations, analyze performance, define experiments, and create specifications for GPU systems.

Design, build, and deploy scalable cloud solutions for GeForce NOW. Collaborate on features, optimize systems, mentor team members in automation and infrastructure practices.

Responsible for forecasting, planning, and financial analysis, building analytical tools, and providing insights while supporting senior management across the GeForce FP&A team.

As a Senior CPU Performance Architect, you will analyze CPU performance, develop tools for visualization, and collaborate with architects to enhance CPU designs for various advanced applications.