Top Tech Jobs & Startup Jobs

Lead architecture, compatibility, and integration for a secure, extensible performance-analysis platform. Align cross-team product goals, design end-to-end capabilities, implement cross-boundary solutions, establish engineering standards, and mentor senior engineers to deliver reliable, observable production products.

Lead and coach a storage production engineering team to design, deploy, and operate large-scale storage systems. Own capacity planning, lifecycle management, HA/disaster recovery, automation, monitoring, incident response, and partnerships with engineering and AI teams to improve data pipelines and performance.

Serve as a trusted technical advisor to NVIDIA Cloud Partners to design, integrate, and deploy large-scale GPU AI/HPC cloud infrastructure. Lead PoCs and production deployments of models, frameworks, and software stacks, run technical workshops and presentations, collaborate with sales, engineering, and product teams, and drive customer adoption and consumption.

Partner with customers across the DGX Cloud lifecycle to drive adoption and performance. Translate workload and business requirements into scalable compute, networking, storage, and cloud recommendations. Create reusable playbooks, tooling, and dashboards. Lead architecture reviews, performance tuning, cloud portability, and GPU resource planning. Use usage data to identify risks and opportunities and deliver lightweight automation to accelerate delivery and operations.

Design and implement NVLink protocol and GPU subsystem logic: micro-architecture, RTL implementation and debug, timing- and power-optimized logic design, collaborate with verification and physical design teams, support floorplan, power/clock distribution, timing closure, and back-end verification; develop supporting flows and tools.

Lead and grow an engineering team building GPU‑accelerated deep learning inference frameworks. Drive roadmap, collaborate with compiler/libraries/research teams, optimize LLM and multimodal model performance, and oversee multi‑GPU communications and production deployment of inference software.

Design and define embedded switching software architectures for next-generation Ethernet/Infiniband/NVLink platforms. Lead R&D, validation, and cross-functional teams; evaluate protocols, drivers, and partners; drive PoCs, standards engagement, customer technical leadership, and integration of Linux kernel networking for high-performance AI/ML workloads.

Lead positioning, messaging, and launches for NVIDIA data processing products; develop technical content and presentations; run community outreach (streams, hackathons, meetups); perform ecosystem analysis; support hardware platform introductions; engage with data engineer and database communities to drive adoption.

Lead global memory and storage sourcing for NVIDIAs Networking BU: develop multi-year commodity strategies, manage supplier partnerships, negotiate costs, ensure supply continuity, influence cross-functional stakeholders, and apply procurement subject-matter expertise to drive innovation and risk mitigation.

Develop and maintain software and automation for SoC/ASIC design and build flows. Create methodologies and tools to accelerate design (Speed of Light), partner with design/verification teams, and co-develop capabilities with EDA vendors to improve workflow reliability and performance.