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about the job
be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. you'll contribute to the innovation behind products loved by millions worldwide. your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
as a cpu workload analysis researcher within our company cloud's msca organization, you will be integral to developing silicon solutions powering our company's direct-to-consumer products. you will join a research and development team focused on analyzing and profiling workloads requirements within the company cloud environment. your role will involve conducting in-depth research on cpu optimization, feature development, and ml usages over compute platforms, contributing to identifying key areas of investment and future opportunities. this role offers a unique opportunity to perform groundbreaking research with a significant impact on both research methodologies and industry products, within the server chip architecture team. your work will directly influence the next generation of hardware experiences for millions of our company users and cloud customers.the ai and infrastructure team is redefining whats possible. we empower our company customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers, our company cloud customers, and billions of our company users worldwide. we're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for our company cloud, our company global networking, data center operations, systems research, and much more.
responsibilities
plan and execute detailed analysis of cpu workloads within the company cloud infrastructure, analyze trends and map future requirements.
collaborate closely with architecture and modeling owners to understand design specifications and identify critical scenarios related to cpu performance and efficiency.
develop and implement custom workload generation tools and methodologies to simulate real-world usage patterns on our company cloud platforms.
analyze the impact of Machine Learning applications on cpu usage, identifying opportunities for optimization and feature enhancements.
lead the investigation and development of metrics to measure cpu performance and efficiency, presenting findings to stakeholders and contributing to strategic decisions.

you will be developing physical design, sta, logic eq, power integrity flows and methodologies for implementation of networking chips and socs.
work closely with block owners, full chip sta engineers to assure high quality and timely convergence.
come up with unique and creative solutions to the state of the art physical design problems that are needed for our chips.
additional responsibilities include participating and developing flow and tool methodologies for timing analysis and closure, power and noise analysis, ir-drop, em and back-end verification across multiple projects.

we are now looking for a power optimization and analysis engineer! our company prides ourselves on having energy-efficient products. we believe that continuing to maintain our products' energy-efficiency compared to competition is key to our continued success. as part of the u/arch team in the switch group, you will be responsible for analyzing full chip and unit-level power data and driving the fe/be asic teams to improve their units power efficiency; you will be responsible for researching, developing, and deploying methodologies to help our products become more energy efficient. key responsibilities include developing techniques to model, analyze, and reduce power consumption of our switches product line.
as a member of switch u/arch team, you will collaborate with architects, performance engineers, software engineers, asic design engineers, and physical design teams to study and implement power analysis and reduction techniques for our next generation switches. your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.
what you'll be doing:
use internally developed tools and industry standard pre-silicon gate-level and rtl power analysis tools, to help improve product power efficiency.
develop and share best practices for performing pre-silicon power analysis.
perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny.
interact with architects and rtl designers to help them interpret their power data and identify power bugs; drive them to implement fixes.
select and run a wide variety of workloads for power analysis.
prototype new architectural features in verilog and power analysis.

we are looking for best-in-class physical design engineers to join our outstanding networking silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.
what you'll be doing:
physical design of blocks according to specifications under challenging constraints targeting for the best power, area, and performance.
be exposed and work on a variety of exciting designs. resolving complex timing and congestion problems.
daily work involves all aspects of physical design chip development (rtl2gds) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification.
taking part in flow development.

the complexity of the chip has greatly increased over the years. we are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. the company system -on-chip ( SOC ) group is looking for a top asic engineer with a curiosity about SOC design automation, rtl integration, chip build and assembly, and padring design and verification. you should have real passion for methodologies and automation solutions that enable SOC creation in the most optimized way.
in this position, you will get the opportunity to build complex networking chips and interact directly with unit-level asic, physical design, cad, package design, software, dft and other teams. 
what you'll be doing:
lead the end-to-end execution, tracking, and convergence of chip-level cdc and rdc for complex socs across all ips and partitions.
plan and orchestrate cdc/rdc signoff: define methodology, scopes, run plans, constraints, and acceptance criteria.
run and maintain cdc/rdc flows and rule decks, including multi-mode, multi-clock, and hierarchical signoff.
triage violations efficiently: root-cause to rtl, constraints, tool setup, or ip models; prioritize and drive fixes to closure with owners.
verify reset architecture and rdc robustness (reset domain intent, release sequencing, glitch detection, fanout).
author and review cdc/rdc constraints, waivers, and justifications; ensure auditability and signoff quality.
automate runs, report parsing, dashboards, and kpis for closure tracking using scripting and data tooling.
partner with rtl, dv, dft, sta, pd, and architecture to align fixes, manage ecos, and protect cdc/rdc quality during late design changes.
define and enforce signoff gates; communicate progress and risks with clear metrics and issue tracking.
continually improve methodology and training to prevent recurring cdc/rdc issues and accelerate convergence.

Write and review micro-architecture specifications
Implement RTL (Verilog/SystemVerilog) to meet timing, performance, and power requirements
Contribute to full chip integration, timing methodology, and analysis
Collaborate with verification engineers to resolve bugs and achieve coverage closure
Work with the physical design team to close timing and PnR issues
Support design methodology evolution and best practices
Perform debug, root-cause analysis, and post-silicon validation in the lab

as a senior software engineer in the gpu networking architecture team, youll lead advanced development and poc efforts for ai infrastructure solutions. you'll be collaborating with experts across distributed ai, deep learning, networking os, virtualization, Storage, and more. come and join us for the cutting edge in gpu networking!
what youll be doing:
drive advanced development and pocs for ai infrastructure solutions in cutting-edge ai networks, integrating innovative software and hardware.
demonstrate team architectural concepts with larger nvidia ai software stacks.
work closely with various groups within nvidia to bring ai network technologies to reality, including gpu and switch hw and sw teams, product as well as fellow architects.

our company is looking for a passionate firmware engineer to join our nic firmware core team. you will be joining a team whose primary mission is to work on innovative networking adapters technologies and take the success of the current and next our networking devices to the next level using a wide range of platforms - C layer between hw and fw, C ++ oop verification environment and automation challenges.
what youll be doing:
take part in the design, development, testing, debugging, and optimization of many angles of the network adapters' core features
collaborate with chip design, software, and architecture teams to define and craft legacy and new firmware flows
improve our team methodologies

we are hiring a senior pcie firmware to the chip design pcie firmware team. you will be joining a team whose primary mission is to work on groundbreaking technology network adapters and build the core technology of the next generation devices in a wide range of fields - low-level C layer between hw and fws, automation challenges, and Python testing environment.
what youll be doing:
implement fw and verification features in a pre and post silicon environments in the pcie technology
collaborate with other teams in the pcie group, software, and architecture teams to define and craft legacy and new low-level firmware verification methods
improve the existing automated process

our team in israel is looking for a dedicated chiplet sta owner to join us in defining the next era of ai's networking. this is an outstanding opportunity to work with innovative technology and collaborate with some of the most experienced minds in the industry. if you are ambitious, passionate about flawless design, and eager to make a lasting impact, this role is perfect for you!
what you'll be doing:
perform advanced static timing analysis (sta) at chiplet and fc level.
running prime time, review and debug timing paths, understand constraints, sdc generation, timing ecos generation.
identify convergence risks and work closely with physical design, rtl and dft teams, ensuring convergence throughout various project stages.
responsible for a full timing closer and quality approval from pre-layout sta model through signoff.

as a Senior Software Architect in the accelerated computing system and software team, you will define software defined networking (sdn) architectural solutions and be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed ai and deep learning systems, high performance computing (hpc), networking operating systems, virtualization, Storage, and more.
what youll be doing:
define system and software architecture for software defined networking (sdn) of ground breaking emerging ai and hpc networks which involves innovative software and hardware.
be an active member in setting the use-cases and metrics for monitoring complex high-speed networks control-plane.
work closely with various groups within our company to bring ai and hpc network technologies to reality, including gpu and switch hw and sw teams, product as well as fellow architects.

We are looking for an experienced AI Engineer & Architect to lead the end-to-end development of a new AI-based platform for risk management. This is a hands-on role with responsibility for system architecture, development, and implementation of complex business logic in the financial and Generative AI domains. The platform will enable customers to build virtual, AI-driven teams based on autonomous agents. Responsibilities Design, build, and develop the platform from scratch, end-to-end ( backend, infrastructure, and user-facing components). Develop and orchestrate multi-agent systems capable of collaboration, analysis, simulations, and insight generation. Integrate leading LLMs (e.g. OpenAI, Anthropic), including RAG-based connections to Real-Time financial data. Perform prompt engineering and fine-tuning to ensure accurate and reliable outputs in financial use cases. Select the technology stack, design cloud infrastructure (AWS / GCP / Azure), and manage deployment.

Required Chief Product Owner - High-Performance NAS & Parallel Filesystems
Join us as a Technical Staff -Chief Product Owner on our Lightning Engineering R&D team in Glil Yam (Herzliya) OR Beer-Sheva to help build the next generation of AI‑driven storage systems and influence cross‑program solution execution.
What youll achieve:
As a Chief Product Owner, you will:
Define and communicate a compelling product vision for scalable, resilient AI/HPC storage, driving competitive differentiation for demanding workloads.
Translate strategy into clear product goals, prioritize features for customer value and TCO, and manage a sequenced program backlog and value-driven release plan.
Lead sprint and release planning while ensuring execution alignment across globally distributed engineering teams and removing delivery impediments.
Provide deep domain leadership across NAS, parallel file systems, RDMA/InfiniBand, NVMe-oF, metadata scaling, data integrity, consistency models, and performance engineering.
Drive modern SDLC practices using AI copilots and agents across development, testing, reviews, and observability while managing risks across durability, availability, security, and performance.
Job ID:R285896.