Top Tech Jobs & Startup Jobs

Lead end-to-end hardware architecture for AI cluster systems, switches, interconnects, and adapters. Define form factors, signal integrity, power, thermal, channel, and cluster-layout requirements while aligning hardware and chip design teams. Drive new technologies from concept through execution and mass production, collaborating with engineering, operations, customers, and vendors. The role requires extensive board and system design experience, Ethernet and optics familiarity, and expertise in high-speed hardware, PCB, ASIC, manufacturability, reliability, cost, and performance.

Develops RTL verification strategies and simulation methodologies for NVIDIA server boards and systems. Responsibilities include board and system-level RTL design, digital and analog simulation, mixed-signal model development, PCB pre-silicon verification, connectivity and timing checks, and collaboration across ASIC, FPGA, software, architecture, and system teams. The role requires extensive mixed-signal simulation or PCB design experience and Python programming skills.

Develops verification strategies and tool flows for NVIDIA server platforms. Responsibilities include board and system-level RTL design, simulation model development, pre-silicon PCB verification, connectivity and timing checks, and building automated verification environments. The role collaborates with architecture, ASIC, FPGA, software, and system design teams to validate functionality, performance, and quality before production.

Develops verification strategies, simulation methodologies, and models for board and system-level designs. Performs pre-silicon verification of PCB connectivity, design rules, and timing, while collaborating with architecture, ASIC, FPGA, software, and system teams to build end-to-end verification environments. The role requires Python, Verilog RTL, and simulation experience, with mixed-signal simulation and system validation as preferred qualifications.

Lead performance-controller productization from pre-silicon planning through silicon bring-up, tuning, validation, and production. Collaborate with architecture, design, firmware, and software teams to optimize performance, power, and thermal behavior across workloads and silicon variations. Debug complex hardware-software and system-level issues, correlate silicon results with simulations, and apply AI/ML to characterization data, anomaly detection, controller tuning, and validation efficiency.

Leads the architecture and development of enterprise infrastructure automation and configuration management platforms across compute, storage, networking, data centers, cloud, and hybrid environments. Defines long-term technical strategy, builds secure and scalable integrations, applies AI to configuration intelligence and remediation, and remains hands-on with software development. Mentors senior engineers, establishes engineering standards, drives enterprise adoption, and partners with leadership on technical roadmaps and business outcomes.

Verify NVIDIA GPU and SoC ASIC designs using UVM, random stimulus, functional coverage, and assertion-based verification. Develop unit and system-level testbench infrastructure, validate architecture and microarchitecture, debug simulations, and collaborate with architects, designers, and verification teams. The role requires SystemVerilog, C/C++, simulation and debug tools, and knowledge of ASIC verification methodologies.

Leads business and system enablement for new products and site launches from NPI through mass production. Defines requirements, data mappings, process flows, planning models, and system readiness across SAP, SPNR, SERUS, IT, data, manufacturing, engineering, planning, procurement, and operations teams. Identifies gaps, coordinates testing and validation, drives corrective actions, and improves product setup, governance, and execution in a complex hardware and semiconductor environment.

Build and operate production AI systems, including AI agents, MCP servers, tool integrations, workflow infrastructure, evaluation frameworks, backend services, and deployment platforms. Develop reliable APIs and persistence layers, work with SQL and NoSQL databases, and manage Docker, Kubernetes, CI/CD, monitoring, and production support. Collaborate across engineering, product, infrastructure, and data science teams to deliver measurable, dependable AI applications.

Leads production test design for NVIDIA networking platforms, including NICs, SmartNICs, DPUs, NVLink systems, and Ethernet switches. Develops test architectures, strategies, coverage, diagnostics, and software solutions while coordinating technical decisions across engineering, operations, security, and manufacturing teams. Partners with contract manufacturers and global teams to deploy test plans, reuse shared capabilities, and align production testing with platform development and manufacturing requirements.