Jobs at NVIDIA

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.

The Strategic ISV Account Manager will manage a portfolio of ISVs in the education technology sector, developing strategic partnerships, overseeing technical engagement, and driving revenue through joint go-to-market activities.

Responsible for managing key accounts in the financial services sector, driving revenue growth, and collaborating with internal teams and partners to implement strategies.

Lead developer advocacy for payments, driving adoption of NVIDIA AI and computing platforms. Support partner integrations, provide code samples and demos, research ecosystem trends, collaborate with engineering and partners, present at conferences, and promote co-innovation for payments use cases like fraud detection and personalization.

As a Senior AI Developer Technology Engineer at NVIDIA, you'll design and optimize AI and HPC workloads, solve performance issues, and influence future hardware and software design.

The Senior Software Engineer will design benchmarks, build data pipelines, run experiments, contribute to open-source projects, and collaborate with teams to enhance agentic memory systems at NVIDIA.

Develop groundbreaking techniques to accelerate AI workloads on NVIDIA GPUs. Optimize performance of complex AI systems and collaborate with experts in the field.

The Senior Developer Relations Manager will advance NVIDIA's adoption in capital markets by integrating AI solutions and collaborating with financial professionals, driving best practices and community engagement.

The role involves managing relationships with insurance customers, driving revenue growth, collaborating with partners, and developing strategic plans to enhance NVIDIA's enterprise presence in the financial services sector.

Provide expert-level technical support for NVIDIA DGX compute/GPU platforms: triage and resolve hardware and software issues on multi-distro Linux, debug installations and interoperability, coordinate with engineering/marketing, create KB articles, and improve support processes. Interact directly with customers via phone/email/conference and apply AI tools for debugging and documentation.

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.