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Leading the development of next-gen Scale-up fabric for AI data-centers. Concentrating on collaborative communication and vertical co-development of AI networks alongside hardware, software, and applications.
Define and drive attestation strategy for CSP and enterprise including pricing, packaging, and go-to-market. Engage with engineering leadership to establish priorities and resource allocation.
Identify new opportunities for NVIDIA products and solutions with Oracle for deployment in the cloud and in their customer data centers. Work closely with the GPU/Network Systems Engineering, Product Management and Solutions Architects to qualify our solutions for deployment.
Identify new opportunities for NVIDIA products and solutions with Oracle for deployment in the cloud and in their customer data centers. Work closely with the GPU/Network Systems Engineering, Product Management and Solutions Architects to qualify our solutions for deployment.
Engage with industry leaders, present NVIDIA's Full Stack solution, and NPN Ecosystem Partner solutions for customer success. Guide and co-pilot Enterprise AI Factory strategic sales campaigns with WWFO sales teams and NPNs during critical phases of the sales cycle.
Lead the design, development, and deployment of AIOps & Observability platforms, including metrics, logs, traces, events, alerts, dashboards, and visualizations.
Driving development of architecture and micro-architecture to improve the state-of-the-art in memory systems optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule.
Drive adoption of NVIDIA software libraries and frameworks across business, product, engineering, and research teams.
Researching and crafting architecture solutions for chip-to-chip communication, optimizing for performance, area, power, security, and resiliency. Working with other design teams to define interfaces and flows between NVLink blocks and the rest of the chip.
Lead, mentor, and scale a high-performing engineering team focused on deep learning inference and GPU-accelerated software. Drive the strategy, roadmap, and execution of NVIDIA’s inference frameworks engineering, focusing on Client AI.
In this role, you will be responsible for driving the execution of SOCs from concept to production.
Partner with our industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. Document what you know and teach others.
HBM & LPDDR System Integration and Bringup: Drive HBM and LPDDR system integration, bringup, characterization, and debug for next-generation SoCs — taking memory subsystems through the full arc from first silicon to production-ready at scale.
Own a collection of important game developer accounts as NVIDIA's primary contact, managing partnership programs, contracts, technical engagements, and go-to-market support.
Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproduction, and solving problems for customers installing our products and supporting systems using Linux Operating Systems (Multi-distro), with the focus on NVIDIA…
Help partners build scalable, observable, GPU-accelerated Physical AI pipelines through agentic workflows, cloud-native technologies, and NVIDIA frameworks such as OSMO.
Design, develop, and validate SOC & GPU Boot and Security software across Automotive, Embedded, and Data Center platforms. Participate actively in the new silicon lifecycle, spanning pre-silicon simulation/emulation to silicon power-on bring-up phases.
Your responsibilities include defining and implementing the chip pad ring, substrate interconnect scheme, and lead the package layout design process.
As part of a Layout team, you will collaborate to implement high speed/density ASIC packages. Perform substrate breakout patterns for ASIC packages. Optimize package pinout incorporating system level trade-offs of pins assignment.
Play a key role in optimizing system software for Nvidia automotive performance platforms with Safe RTOS. Collaborate closely with Hardware Architecture, DriveOS, Power, and Test teams to track key boot & runtime performance benchmarks.
Lead architecture for cloud-networking including orchestration, provisioning and security solutions. Design innovative system architecture for DPUs & NICs technologies. Build end-to-end solutions from application level to HW.
Serve as a trusted technical advisor for developers and partner engineering teams adopting Cosmos 3 across synthetic data generation and world-model workflows.
Serve as a trusted technical advisor for partners adopting the GR00T End-to-End Workflow. Guide robotic ecosystem partners in architecting end-to-end adoption of the GR00T, with a focus on model deployment on the robot.
NVIDIA · 14d ago
In this role, you will research and develop techniques to GPU-accelerate high performance database and ETL applications.
US, USA