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We are looking for a Chip Design micro architect for the Networking Silicon group. As a chip micro architect in out Networking business unit, you will join a group of passionate engineers to implement the next generation state-of-the-art BlueField DPU SOC and/or ConnectX NIC that deliver breakthrough networking, security, cloud, AI and storage performance to the AI data centers. As a design micro architect, you will make a real impact in a dynamic, technology-focused AI company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you'll be doing:
You will be part of a small and exclusive micro-architecture team and have the opportunity to make a real impact in designing the micro-architecture of the next generation state of the art network card hand in hand with the product architect making sure implementation meets the product goals.
Work closely with architecture and design teams to thoroughly understand system requirements and identify micro-architecture solutions, while weighing trade-offs related to performance, area and power consumption
Break high-level arch requirements into lower-level design building blocks. Focal point for the design team, reviewing implementation and guiding the team.
Find bottlenecks early in the development cycle using performance analysis and simulations
Use your understanding of the entire chip and system to identify and debug pre and post silicon full-chip issues

We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today, such as car and Pharmaceutical. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:

Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).

Research of various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

Developing models for simulations and performance testing, analysing the results and development of future HW and SW.

Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

We are seeking a dedicated NVLink Firmware Architect to join our esteemed engineering team in Israel. This is an outstanding opportunity to impact the future of data centers and networking technology. As a key member of our team, you will play a crucial role in developing and crafting our NVLink firmware stack and GPU scale-up networking. Our collaborative environment, combined with ambitious goals, will enable you to collaborate closely with ASIC and software architecture/design teams to pioneer innovative solutions.

What you'll be doing:

Collaborating with a team of innovative engineers to craft new networking applications that address sophisticated problems in groundbreaking ways.

Identifying and evaluating new technologies, innovations, and partner relationships to align with our strategic technology roadmap and enhance business value.

Defining the architecture of NVLink firmware running on GPUs and switches, ensuring flawless integration and performance.

Helping to determine and implement the strategic vision for NVIDIA networking alongside adjacent software and hardware architects.

What you'll be doing:

As a member of our Hardware architecture deep learning team, you will contribute to features that help next-generation GPUs and systems advance the state of AI.

This position requires you to collaborate with other hardware and software engineers as well as DL researchers.

Your day to day work will include analyzing the behavior of various deep learning methods on current and future hardware architectures and propose new features to accelerate it. The features could be HW, SW or Algorithmic - usually combining all.

The main focus of this job is from hardware architecture perspective and workload performance.