Top Tech Jobs & Startup Jobs

Lead strategic sales and business development for NVIDIA Networking at a major Silicon Valley account. Build relationships with R&D and technical teams, drive adoption of GPU-accelerated and AI solutions, manage forecasting, supply and pricing, liaise between customers and product teams, and collaborate with engineering and solutions architects to qualify and deploy networking platforms. Travel up to 25%.

Lead a global platform engineering team to define strategy and deliver marketing platforms (CDP, automation, personalization, consent, pipelines). Drive data architecture, scalable pipelines, personalization across channels, observability, compliance, and vendor relationships while partnering with Legal, Privacy, and Security.

Provide counsel on U.S. and international employment matters, manage pre-litigation disputes and government inquiries, partner with litigation and outside counsel, advise on compliance, works councils and cross-border investigations, support HR and M&A, and translate legal developments into actionable policy guidance.

Verify GPU and SoC designs by defining verification scope, developing test plans and test generators, and building verification infrastructure. Collaborate with architects, designers, and pre/post-silicon teams to validate GPU interactions, memory coherency, and micro-architecture using SV/UVM and industry tools.

Lead global procurement operations modernization by developing a unified S2P portal, integrating Coupa, Apex, and DocuSign CLM, automating PR creation and tail-spend management, and driving governance, change management, and cross-functional alignment across IT, Finance, and Legal.

Design, build, and optimize GPU‑accelerated inference software and open‑source frameworks (vLLM, SGLang, FlashInfer). Improve performance and scale for LLMs and generative models across NVIDIA GPUs and edge SoCs using CUDA, CUTLASS, Triton, NCCL and profiling tools. Collaborate across teams to enable efficient model serving and deployment.

Develop and prototype high-performance CUDA-based deep learning systems and custom kernels. Architect and optimize distributed, cluster-scale training and inference pipelines, analyze hardware-software performance bottlenecks, build profiling and runtime tools, and collaborate with researchers, compiler and driver teams to transition prototypes into frameworks or products.

The role involves defining and leading semiconductor test strategy, guiding architectural decisions, adopting AI/ML for yield optimization, and mentoring engineers.

The System Reliability Engineer develops reliability test plans, conducts testing, leads failure analysis, and collaborates with various teams to improve product reliability standards.

Design and characterize standard cell libraries for cutting-edge processors using deep-submicron processes. Run SPICE simulations, generate timing/power/noise/OCV views, develop/support automation tools (Perl/Python), collaborate with cross-functional teams, validate data, and improve QA and signoff flows.