Top Tech Jobs & Startup Jobs

Lead development of memory system architecture and micro-architecture for SoCs. Build and maintain performance models and simulations, analyze benchmarks and workloads, identify micro-architectural tradeoffs, and debug performance and functional issues across high-level models, RTL simulation, and silicon.

Manage and grow NVIDIA's networking business with Oracle by identifying opportunities, qualifying solutions with engineering and PM teams, driving forecasting and NPI, acting as the customer advocate, and supporting deployment of networking products in cloud and data centers.

Lead technical partnership with Meta to drive adoption and integration of NVIDIA libraries and frameworks across product, engineering, and research teams. Advocate NVIDIA solutions, resolve technical challenges, guide co-engineering efforts, influence product roadmaps, and coordinate cross-functional teams to deliver performance-optimized AI training, inference, recommender, and data-processing solutions.

Manage and grow NVIDIA's networking business with Oracle by identifying opportunities for cloud and data-center deployments, working with engineering and product teams to qualify solutions, acting as customer advocate, driving forecasting and NPI, resolving product challenges, and communicating solution fit and business value to stakeholders. Travel as needed.

Lead architecture and development of next-generation scale-up fabrics and collaborative communication for AI data-centers. Ensure scalability, reliability, and robust large-model training across hardware, software, and applications while driving innovation and cross-functional implementation toward production and manufacturing.

Lead and scale an engineering team building GPU-accelerated deep learning inference frameworks. Drive strategy and roadmap, partner with compiler/libraries/research teams, oversee performance tuning and multi-GPU optimizations, mentor engineers, and deliver production-ready inference pipelines for LLM, multimodal, and generative AI across datacenter and edge platforms.

Develop and launch NVIDIA HGX GPU-accelerated server platforms for production. Responsibilities include creating diagnostic tests, debugging hardware, firmware, and software interactions, ensuring design-for-excellence and signal integrity compliance, defining manufacturing test specifications, optimizing assembly lines and production screens, analyzing yield data, and supporting customer quality issues. The role requires strong electrical engineering fundamentals, digital design, timing analysis, statistics, fault analysis, and computer architecture expertise.

Leads customer engagement, technical business development, and strategic partnerships with a major cloud service provider. Advises AI model builders on NVIDIA’s accelerated computing platform, integrates GPU architectures, networking, CUDA-X, NeMo, and inference technologies into training and inference pipelines, and connects customer needs with product roadmaps. Drives platform adoption, alliance development, executive relationships, and revenue growth while leading cross-functional technical and commercial initiatives.

Lead developer relations and technical partner engagement for NVIDIA AI, GPU, robotics, autonomous systems, and AI agent technologies. Drive adoption through technical integrations, sample code, demos, workshops, onboarding, and solution development with strategic cloud and software partners. Collaborate with engineering, product, marketing, sales, and legal teams to resolve challenges, identify ecosystem opportunities, influence roadmaps, and scale developer programs and communities.

As a Senior SOC Design Engineer, you will integrate IP blocks, develop methodologies, streamline SOC design, and ensure high-quality RTL delivery.