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Own RTL-to-gate synthesis and QoR convergence for complex digital blocks and hierarchical partitions. Optimize synthesis strategies, constraints, and flows to meet performance, power, and area targets.
Drive adoption of NVIDIA software libraries, open models, and frameworks throughout business, product, and engineering groups. Work closely with the NVIDIA account and technical teams on product and engineering integration priorities and coordination.
Set technical direction for major platform areas, leading the architecture, roadmap, and long-term health across multiple product cycles. Design and lead infrastructure initiatives that span team boundaries, building alignment with firmware, hardware, and business partners.
Build, supervise, and improve the core infrastructure our firmware teams run on: build systems, regression farms, CI/CD pipelines, developer tooling, and the frameworks and web services that sit on top of them.
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.
US, USA