Top Tech Jobs & Startup Jobs

Lead technical program management for NVIDIA GPU software, including kernel components, drivers, and firmware. Align chipset and product roadmaps with software capacity, coordinate cross-functional dependencies, make prioritization decisions, partner with hardware and customers, improve planning systems, and track execution metrics. The role requires extensive software product delivery experience and supports process improvements across graphics, machine learning, and accelerated computing programs.

Architects and builds scalable agentic AI systems spanning runtimes, inference, evaluation, orchestration, distributed execution, ETL, HPC, cloud, Kubernetes, and GPU environments. The role optimizes reliability, performance, scalability, resource utilization, and developer experience; prototypes emerging technologies; writes production software; and provides technical leadership across research, engineering, product, and infrastructure teams.

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.

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.

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.

Lead CPU performance verification by defining strategies, creating test plans and microbenchmarks, analyzing workloads and benchmarks, identifying bottlenecks, building performance-analysis infrastructure, and guiding junior engineers. Collaborate with architects and design engineers to validate microarchitectural features across advanced computing products.