Top Tech Jobs & Startup Jobs

Lead implementation of AI infrastructure solutions on NCP/Neo Cloud and DGX Cloud. Deploy and optimize distributed training/inference, manage Kubernetes/GPU scheduling, profile and tune large-scale workloads, implement reference architectures and integrations, build runbooks and monitoring, and provide remote and on-site technical support to strategic customers.

Lead verification for GPU/SoC display IP: define verification scope and testplans, build UVM-based infrastructure, develop UVM and C/C++ testbenches, drive coverage closure, debug silicon integrations, and collaborate with architects, partners, and customers globally.

Lead NVIDIA's engagement with public-sector wireless research to advance 6G and AI-native RAN projects. Build partner relationships, represent NVIDIA in standards bodies (ATIS, AI-RAN, 3GPP), collaborate cross-functionally, analyze RAN challenges, and drive technical strategies and deliverables aligned with NVIDIA's platform and quality standards.

Lead and coordinate global software programs for deep learning training and inference frameworks. Drive cross-functional alignment, manage schedules, risks, and dependencies, implement release and open-source processes, define metrics, report status to senior management, and improve program execution across hardware, software, and infrastructure teams.

Apply LLMs, agentic systems, and reinforcement learning to front-end ASIC problems (RTL generation, verification, PPA). Build data generation, evaluation, and production ML tooling; integrate coding agents into EDA/validation flows; collaborate with model teams to fine-tune domain-specific models and deliver measurable speedups to ASIC schedules.

Perform silicon and package qualification for gaming and datacenter GPUs, define and validate test programs with Test/DFx, drive failure analysis across teams, analyze data to identify improvements, and support qualification timelines and risk management.

Lead NVIDIA's PCB and PCBA capability: set multi-year strategy and roadmap, build a world-class PCB/SMT team, prioritize investments, align suppliers, drive supplier execution and root-cause closure, raise manufacturing reliability using SPC/CpK/CTQ and inline metrology, and partner with design, SI, and reliability to qualify technologies for volume production.

Develop, validate, and support manufacturing diagnostic test programs for SoC products. Collaborate with ASIC, ATE, validation, software/firmware, and production teams to diagnose complex hardware/software issues, automate processes, and drive test program and process improvements.

Lead technical engagement with OEM/ODM ecosystem partners to enable MGX-based high-performance hardware. Provide system-level electrical, mechanical, and thermal engineering expertise; drive integration of compute, networking, power, cooling, and mechanical subsystems; define validation strategies; lead product reviews and readiness assessments; deliver partner training and onboarding; collaborate across product, engineering, operations, manufacturing, and business teams to grow the MGX hardware ecosystem.

Lead architecture and development of Vehicle and Sensor Abstraction Layers (VAL/SAL) for autonomous vehicles. Manage teams building low-latency C++ systems with GPGPU (CUDA) acceleration, interfacing sensors and actuators, ensuring scalable integration, safety-compliant automotive software (MISRA), and validating via real-world and synthetic testing. Oversee in-vehicle tests, data analysis, unit testing, documentation, and cross-functional collaboration to deliver production-quality autonomy software.