Top Tech Jobs & Startup Jobs

Designs and reviews NVIDIA GPU and Tegra-based product boards across servers, automotive, robotics, industrial, and consumer applications. Collaborates with architects and cross-functional teams to optimize cost, performance, and schedules; prepares manufacturing documentation; develops improved circuits and functions; and enhances design workflows. Requires extensive board design experience, PCB review expertise, laboratory measurement skills, Linux and Windows proficiency, and strong communication abilities.

Lead mechanical architecture and product design for next-generation electronic products from concept through production. Develop structures, displays, acoustic, battery, antenna, and thermal systems; research materials and manufacturing processes; collaborate with industrial design; and lead internal teams, suppliers, consultants, and manufacturing partners. Apply DFM, DFA, GD&T, tolerance analysis, CAD, statistical methods, and mechanical engineering analysis across diverse consumer, automotive, and computing products.

Designs, implements, tests, and validates Ethernet networking solutions for AI-enabled data centers. Provides routing expertise across BGP, VXLAN, EVPN, Linux, CLOS architectures, and switch fabrics; develops automation scripts and deployment documentation; validates configurations in labs; collaborates with customers, engineering, and marketing; and supports network performance monitoring, technical presentations, and training.

Drive NVIDIA platform adoption across enterprise AI and semiconductor ecosystems. Develop and execute go-to-market strategies, build strategic partnerships, enable sales teams, create and close complex opportunities, grow revenue and pipeline, provide product feedback, and lead event strategy. The role requires deep AI/ML expertise, executive relationship management, solution architecture, business strategy, and up to 25% national travel.

Deploy NVIDIA AI-focused server platforms for major cloud service providers. Collaborate with CSPs, OEMs, ODMs, architecture teams, and internal engineering groups to integrate and optimize advanced GPU servers and data center racks. Diagnose complex hardware, software, and application issues, support customer solutions, and guide future data center architectures and roadmaps. The role requires strong server systems expertise, communication skills, cross-functional leadership, and up to 30% travel.

Designs high-speed, high-density PCB layouts for NVIDIA products using Cadence Allegro and Capture. Responsibilities include floor planning, component placement, routing, constraint management, topology and signal integrity, EMI/RFI control, and compliance with FCC, UL, European, IPC, and NRC requirements. The role collaborates with product design engineers and supports complex multilayer HDI designs, including 25Gbps-plus applications and back-drilling technology.

Provides technical engineering support to notebook customers, including feature development, design reviews, documentation, hardware installation, testing, debugging, bring-up, issue reproduction, and cross-functional problem resolution. Reviews schematics, PCBs, and power delivery networks while supporting notebook development and production. Requires strong notebook circuit-design expertise, signal measurement skills, system architecture knowledge, and customer communication abilities.

Designs system architectures, performance models, and validation strategies for NVIDIA DGX GPU products. Develops automated stress and performance tests, enables GPU SKU bring-up, validates complex systems, and runs real-world machine learning and LLM workloads. The role requires debugging datacenter hardware and software systems, developing Python-based automation, and working onsite in a hardware lab.

Own and scale the end-to-end cloud execution pipeline for simulation assets, deploying GPU-aware containers and multi-GPU runtimes, implementing structural and runtime validation, AI-driven remediation, observability, CI/CD, and artifact pipelines to ensure reliable, automated cloud validation of simulation assets.

The Senior LLVM Compiler Engineer will contribute to upstream LLVM development, lead design discussions, and ensure high-quality compiler solutions in collaboration with open-source communities.