Top Tech Jobs & Startup Jobs

Lead performance and scalability analysis of the Kubernetes-based accelerated runtime stack, design upstream control-plane changes for hyperscale clusters, optimize container startup and inference latency, advance confidential container performance, model large AI-factory deployments with simulations, build at-scale tests and monitoring, and collaborate with researchers and upstream communities to validate and publish results.

Design, develop, and productize LLM/VLM-powered agents and deep learning models for ADAS and robotics. Build agentic workflows, SIL/HIL simulations, validation/test infrastructure, and collaborate with firmware, validation, and customer teams from prototype to production.

Lead and grow DOCA DevOps and Integration teams owning CI/CD, lab/build systems, release automation, and multi-component integration. Drive AI-assisted developer tools adoption, own BlueField out-of-box installation and provisioning, track DevOps/integration/UX metrics, and mentor engineering leaders to scale the organization.

Analyze and model system- and SoC-level GPU performance to find bottlenecks. Build workloads, simulators, RTL testbenches and analysis tools. Collaborate with architecture and design teams to guide trade-offs across performance, area, and power.

Build and operate large-scale CAD/HPC compute infrastructure for silicon design: manage job schedulers, cloud integrations, CAD toolchains, automation, performance tuning, and capacity planning to support tapeout.

Drive end-to-end performance and scalability testing for NVIDIA DGX Cloud across Kubernetes and NVIDIA components. Develop automated workload tests, monitoring and CI/CD frameworks, triage complex distributed-system issues, collaborate with customers and upstream open-source communities, and document and present findings.