Top Tech Jobs & Startup Jobs

Design, develop, and optimize system software and firmware for SoC-based O-RAN infrastructure. Implement power-management policies (DVFS, clock/power gating, thermal control), analyze RU/DU workloads, build performance and power models, create measurement and test tooling, validate on simulation/emulation and silicon, and influence SoC and platform architectures for 5G/6G deployments.

Leads end-to-end supply chain transformation initiatives across planning, logistics, manufacturing, repair, returns, and customer operations. Redesigns processes and operating models, translates business needs into requirements, and partners with IT, engineering, data, and AI teams to deliver scalable digital capabilities. Drives AI, analytics, automation, change management, adoption, and measurable operational improvements while influencing executives and cross-functional stakeholders.

Sell NVIDIA's networking portfolio to enterprise accounts, driving quota attainment by identifying, qualifying, and closing opportunities. Lead customer conversations across business and technical stakeholders, collaborate with solution architects and partners, and support solution development for AI and data center initiatives. Maintain pipeline, forecasting, and opportunity tracking in Salesforce while coordinating complex sales motions and building strategic customer relationships across Physical AI and Financial Services industries.

Perform RTL-to-gate synthesis and QoR convergence for complex digital blocks, optimize synthesis strategies and constraints, analyze and resolve QoR regressions, support physical implementation from floorplanning through timing closure, and automate setup, execution, reporting, and issue triage across teams.

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.