Top Tech Jobs & Startup Jobs

Lead design, build, and operate AIOps and observability platforms (metrics, logs, traces, alerts, dashboards). Define roadmap and standards, collaborate with teams, mentor engineers, and implement ML/LLM-based anomaly detection, forecasting, root-cause analysis, and agentic debugging across large-scale cloud, on-prem, and bare-metal environments.

Own technical integration and adoption of NVIDIA libraries, models, and frameworks across Microsoft; coordinate product and engineering teams, drive developer advocacy, resolve technical challenges, influence partner roadmaps, and deliver joint GTM solutions and early wins.

Verify SoC/GPU designs using advanced verification methodologies. Define verification scope and infrastructure for memory subsystems, develop reusable verification components, collaborate with architects, designers, and software engineers, and debug complex issues.

Build and improve infrastructure for GPU firmware teams, including build systems, regression farms, CI/CD pipelines, developer tools, test frameworks, web services, signing services, and observability. Debug issues across hardware, software, and processes; create AI-powered workflows; automate and document internal tooling; and develop scalable solutions that reduce company-wide operational toil.

Drive architecture and development of datacenter systems from chip-level components through full-scale deployments. Collaborate across silicon, software, networking, operations, suppliers, procurement, and customers to evaluate performance, power, cost, hardware, thermal, and mechanical tradeoffs. Lead multidisciplinary teams, guide product strategy, monitor competitive solutions, and execute systems from concept through production. The role requires deep hardware and server architecture expertise, plus experience spanning software and hardware.

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.

Lead the architecture, roadmap, reliability, and long-term health of NVIDIA’s GPU firmware infrastructure platforms. Design cross-functional infrastructure initiatives, improve automation and incident response, develop AI-powered workflows, and establish technical standards through design reviews, documentation, and mentorship. The role owns CI/CD, build systems, test farms, release pipelines, secure signing services, observability, distributed compute, containers, and orchestration across production environments.

Lead product strategy and roadmaps for inference tools, SDKs, and libraries that enable developers to deploy and optimize GenAI models on NVIDIA GPUs. Partner with internal and external developers, engineering, leadership, and marketing to prioritize features, drive product delivery, and define go-to-market plans focused on performance, cost, and safety.

Lead go-to-market efforts across the product lifecycle for hardware products, aligning cross-functional teams, driving schedule/scope/budget, escalating risks, communicating status to executives, and improving product quality via beta testing and customer feedback. Manage launch and sustain activities and coordinate with operations on manufacturing, quality, RMA, and end-of-life processes.

Lead architecture and specification of chip-to-chip interconnects (NVLink), collaborate with research, architects, and design teams, create architectural models and documentation, drive implementation across design/verification/firmware/software, and define NVLink fabric, network configuration, and management flows throughout product lifecycle.