Top Tech Jobs & Startup Jobs in NYC, NY

Define and drive product strategy for agentic data analytics in the datacenter: connect agent workflows, text-to-SQL, semantic context, query execution, and intelligent workload routing. Engage customers and partners, set success metrics (latency, cost, correctness, utilization), collaborate cross-functionally on architectures and blueprints, and present vision and progress to internal and external stakeholders.

Lead GTM technical engagements with data-platform ISVs to design architectures, build POCs, benchmarks, and enablement for NVIDIA acceleration across analytics, databases, and GenAI workflows. Create reference assets, demos, and training while partnering with product, engineering, sales, and customers.

As a Senior Solutions Architect, you will assist customers in building solutions with NVIDIA's AI technology, focusing on Generative AI and Large Language Models while collaborating across teams for performance analysis.

Develop and enhance the NIM Platform SDK and microservice framework, focusing on high-performance AI inference. Collaborate across teams and optimize cloud microservices for scalability and reliability.

Design and build PyTorch components and production AI solutions optimized for supercomputers with thousands of GPUs. Collaborate with NVIDIA hardware/software teams, internal researchers, and the PyTorch community to improve GPU performance, distributed training, and AI tooling.

Lead product strategy and multi-year cloud deployment roadmaps for Omniverse. Engage partners and customers, gather requirements, prioritize backlogs, measure adoption and usage metrics, drive cloud integrations and GPU-accelerated solutions, and coordinate go-to-market and executive communications to grow developer and partner adoption.

Create developer-facing technical materials and demos for NVIDIA Omniverse libraries, SDKs, and APIs. Produce tutorials, reference architectures, blogs, videos, and launch collateral to drive developer adoption for simulation, rendering, robotics, synthetic data, and industrial digitalization workflows. Collaborate with engineering, product, marketing, and sales to identify gaps in the developer journey and translate platform capabilities into clear technical narratives and hands-on content.

The role involves optimizing GPU performance for neural reconstruction workflows, analyzing bottlenecks, and collaborating with engineers to enhance training and rendering systems.

Collaborate with AI/ML researchers to identify and fix infrastructure and application inefficiencies on GPU clusters; build tools and ML-based analyzers; monitor fleet utilization; optimize hardware, software, and distributed training/inference performance; and promote adoption of efficient AI/ML practices.

The role involves designing and developing VLSI CAD software, collaborating in agile practices, and advancing design tools for chip development.