Top Tech Jobs & Startup Jobs in NYC, NY

Manage strategic biopharma and digital health accounts, build executive and developer relationships, expand NVIDIA platform adoption, communicate the value of its AI and accelerated computing offerings, develop account strategies, forecast revenue, and lead complex engagements with cross-functional teams and technology partners. The role requires enterprise technology sales expertise, healthcare ecosystem experience, strong revenue performance, AI/ML knowledge, and up to 25% travel.

Design, implement, and optimize scalable high-performance dense linear algebra kernels for GPUs. Provide technical leadership, collaborate with product and partners, improve performance and quality, and contribute to library roadmaps and development practices.

Develop and optimize GPU-accelerated numerical linear algebra libraries for AI and high-performance computing. Design kernel generation, JIT compilation, matrix operations, and operator fusions; lead projects involving multiple engineers and teams; provide technical mentorship; collaborate with product management and customers on requirements and roadmaps; and improve performance and maintainability through architectural enhancements.

Lead the technical direction and development of NVIDIA Dynamo, an open-source, production-scale AI inference platform. Drive initiatives in resilience, performance, scalability, and inference infrastructure while collaborating across storage, networking, hardware, and performance teams. Represent Dynamo with customers and the AI community, guide technical strategy, and promote emerging AI/ML infrastructure technologies. The role requires deep systems software, production inference, and senior technical leadership experience.

Lead a team of performance engineers to optimize complex workloads on NVIDIA's CPUs and GPUs, driving technical excellence and innovation while mentoring team members and collaborating with cross-functional partners.

Lead GPU and NVLink-based cluster design and validation for large-scale AI and HPC deployments. Advise cloud partners on architectures, perform performance modeling, debug deployment issues, support NPI rollouts, and relay field feedback to engineering.

Lead GPU and HPC cluster architecture and deployment for cloud partners: design end-to-end GPU/NVLink infrastructures, perform performance modeling, validate and debug cluster configurations, support NPI deployments, and serve as technical liaison between engineering, product, and field teams.

This role involves researching and optimizing applications for NVIDIA's computing platform, collaborating with customers and internal teams to enhance performance and design next-generation software and hardware.

Research and develop techniques to accelerate large-scale applications on advanced CPU platforms. Analyze and optimize database and analytics workloads for CPU performance, collaborate with internal and external experts, publish findings, and influence next-generation hardware/software design.

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.