Top Tech Jobs & Startup Jobs

Develops methodologies for system-level testing, characterization, yield enhancement, specification validation, and post-silicon verification of semiconductor chips. Partners with ASIC, DFT, ATE, silicon validation, fabrication, software, and quality teams to resolve silicon issues. Performs root-cause analysis and drives preventative process improvements. Uses Python for large-scale data analysis and may work with HBM/GDDR memory and power, speed, noise, and thermal characterization.

Designs and optimizes parallel algorithms, data structures, and software architectures for NVIDIA GPUs and accelerated computing. Analyzes hardware-software interactions, supports software-hardware co-design, and collaborates with hardware, software, product, and research teams. The role also produces technical publications, patents, blog posts, and presentations.

Develop full-system CPU/GPU functional models and integrate them with RTL simulators, emulators, hardware-in-the-loop, and performance models. Bring up firmware, Linux, drivers, benchmarks, and AI/HPC workloads in simulation environments. Extend system software for workload simulation and support CPU architects and performance engineers in advancing next-generation CPU architectures.

The role involves developing network firmware features, collaborating on design, implementing features, and debugging firmware issues.

Leads performance analysis and optimization of frontier-scale LLM training and post-training workloads across NVIDIA GPUs, systems software, frameworks, CUDA libraries, networking, and hardware architecture. Develops production tools, benchmarks, performance models, and simulations; identifies bottlenecks; influences hardware and software roadmaps; partners across technical teams; and mentors engineers in large-scale AI performance engineering.

Lead manufacturing support for data center AI accelerator boards, coordinate engineering, diagnostics, supply chain, and factory handover for NPI to mass production. Drive risk mitigation, process improvements, customer qualifications, budget tracking, and cross-functional alignment to ensure production ramp and issue resolution.

Lead development and mass-production productization of NVIDIA DGX and L11 rack-scale AI systems. Drive rack-level integration debugging, root-cause analysis, factory issue resolution, manufacturing diagnostics, firmware and software recipes, test-plan reviews, yield improvement, and design-for-manufacturing initiatives. Collaborate with engineering, validation, diagnostic, manufacturing, and external factory teams, while presenting NPI status and critical issues to executive management.

Develop and improve NVIDIA’s proprietary GPU compiler backend in C++. Design register allocation passes and compiler optimizations for high-performance GPU machine instructions. Collaborate with compiler, hardware, and application teams on improvements and issue resolution. The role spans deep-learning compiler technology and requires strong compiler code-generation experience, preferably with LLVM, plus robust software engineering, testing, and documentation skills.

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.

Lead semiconductor supply planners and own supply commitments for networking silicon products. Develop optimized production schedules across products and SKUs, balance capacity and material constraints, resolve supply-demand tradeoffs, guide substrate and material planning, support product ramps, analyze shortfalls, and present recommendations to senior management. Drive continuous improvement with internal teams and subcontractors across shipment performance, cycle time, and production efficiency.