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computing for more than 25 years.a unique legacy of innovationfueled by great technology—and amazing people. Today,
You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and
Be Doing:
Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, andplacement.
Analyze current deployments, develop prototypes, and recommend architectural improvements.
Stay abreast of the latest research; become the team’s authority in emerging networking techniques and technologies.
Design, simulate, and validate new systems using novel, scalable network simulator NSX.
Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1).
Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features.
Publish patents and present research at leading conferences.
What We Need to See:
M.Sc. or PhD (preferred) in Computer Science, Electrical/Computer Engineering, or related field—or B.Sc. with research experience andpublications.
5+ years of relevant experience.
Deep expertise in networking and communication internals (NCCL, RDMA, congestion control, routing).
Strong software engineering skills in C++ and/or Python.
Excellent system-level design and problem-solving abilities.
Outstanding communication and collaboration skills across technical domains.
Ways to Stand Out from the Crowd:
Proven passion for solving sophisticated technical problems and delivering impactful solutions.
Record of publications in top-tier conferences.
Experience in designing and building large-scale AI training clusters.
Post-PhD research experience
Practical understanding of deep learning systems, GPU acceleration, and AI model execution flows.
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What you will be doing:
Power Optimization of Physical design, of blocks/top-level/fc under challenging constraints.
Optimization involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise fixes.
Power estimation and power modeling.
What we need to see:
B.SC./ M.SC. or equivalent experience in Electrical Engineering/Computer Engineering.
2+ years of experience in physical design and/or BE power optimization aspects.
Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).
Knowledge in physical design flows and methodologies (PNR, STA, physical verification) is an advantage.
FE design experience is an advantage.
Excellent problem-solving, partnership, and interpersonal skills.

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What you’ll be doing:
Technically leading the features owns working with customers and R&D on architecture and design of the features.
Clearly define the requirements. research the hardware, firmware, and software existing support and define the solution to match the requirements he defined.
Simulations ranging from specific components to complete data center environments
Develop SDKs for novel HW capabilities
Designing and implementing services, runtime systems, and applications over SDK
Evaluate and optimize application performance
Partner and collaborate with other forward-thinking team members and external researchers
Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components
What we need to see:
Graduate of BSc/MSc in Electrical Engineering, Computer, Science/Engineering,Math/Physics/Statisticsor a related field
0-2 years of relevant experience.
Knowledge in networking, operating systems, accelerator programming, and systems
Track record of research excellence
Good communications skills
Ways to stand out from the crowd:
Experience in networking and operation system
Knowledge or experience with LLM

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What you'll be doing:
Conduct research and analysis on networking solution and end to end algorithms.
Work with a creative and experienced team to outline the next generation of our RDMA load balance and congestion control algorithms.
Work on simulation environment and on real HW systems
Engage with other research teams to develop Proof of Concepts using our technology.
What we need to see:
2+ years of experience.
B.Sc. in Electrical Engineering or Computer Engineering.
High motivation to learn and explore new fields.
Proven problem-solving skills.
Excellent interpersonal skills.
Knowledge and understanding of compute and networking systems is an advantage.
Passion and attention to detail in building with a high focus on building quality.
Ways to stand out from the crowd:
Passion and love for system architecture, includingCPU/GPU/Memory/Storage/Networking.
Background with AI workloads.
background with networking.
Experience in the development of simulation environments.

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The ideal candidate will have experience in these topics: high-speed testing of fiber-optic modules for telecom/datacom, lasers, and post-silicon verification. In this role, you will lead the design, Integration, and deployment of electro-optical testing platforms for SiPh. You will work closely with the R&D teams, internal verification teams, architects, FW developers, market-leading subcontractors, and other stakeholders to design systems. This role requires hands-on experience and a deep system-level multidisciplinary understanding of high-speed transceivers, as well as excellent integration, problem-solving skills, and strong communication abilities.
What you’ll be doing:
You will lead the design of testing setups for bringing up and testing the new SiPh transceiver chips.
Provide technical support and assistance to manufacturers of silicon photonics testing platforms.
Troubleshoot and diagnose technical issues related to equipment, processes, and software.
Document experimental procedures, results, and findings accurately and comprehensively.
Collaborate with cross-functional teams, including engineering, product development, and manufacturing, to resolve complex technical issues and implement system upgrades or modifications.
What we need to see:
BSc. Degree (MSc. an advantage) in Electrical Engineering, Physics, or related fields
5+ years of relevant experience in laser testing or in high-speed electro-optical testing
Proven experience working in an optics and laser laboratory, preferably in a research or development environment.
Strong problem-solving, debugging, and analysis with examples to prove it.
Knowledge in signal integrity and high-speed signal measurement of electro-optical high-speed interfaces.
Experience with establishing complex high-speed lab setups. Proficient in using electro-optical & electrical measurement tools such as oscilloscope, VNA, BERT & spectrum analyzers.
Basic understanding of PCB layout and high-speed board design issues.
Strong collaborative and interpersonal skills, with an ability to successfully guide and influence.
Ways to stand out from the crowd:
Experience with high-speed transceivers verification/ validation
Post-silicon testing, debug, or FA
Knowledge of programming languages, such as MATLAB, Python, or LabVIEW, for data analysis and automation.
Strong knowledge of laser diode physics, fiber optic technology, and silicon photonics technology and devices.

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Key Responsibilities:

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What You’ll Be Doing:
Define next-generation SmartNIC software and firmware stacks’ architecture to match expected and future workloads.
Closely collaborate with HW architects to define new HW features and SW-HW interfaces for diverse use cases.
Conduct research in network protocols, explore new network technologies, extend networking drivers, driver offloads and accelerators of various SmartNICs-related tasks.
What We Need to See:
B.Sc. or M.Sc. in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience.
5+ years of proven experience in the field.
Proven track record to quickly adapt to new technologies and delve deep into new areas.
Outstanding ability to work independently, interact with customers, and guide R&D teams.
Excellent communication and presentation skills.

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computing for more than 25 years.a unique legacy of innovationfueled by great technology—and amazing people. Today,
You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and
Be Doing:
Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, andplacement.
Analyze current deployments, develop prototypes, and recommend architectural improvements.
Stay abreast of the latest research; become the team’s authority in emerging networking techniques and technologies.
Design, simulate, and validate new systems using novel, scalable network simulator NSX.
Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1).
Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features.
Publish patents and present research at leading conferences.
What We Need to See:
M.Sc. or PhD (preferred) in Computer Science, Electrical/Computer Engineering, or related field—or B.Sc. with research experience andpublications.
5+ years of relevant experience.
Deep expertise in networking and communication internals (NCCL, RDMA, congestion control, routing).
Strong software engineering skills in C++ and/or Python.
Excellent system-level design and problem-solving abilities.
Outstanding communication and collaboration skills across technical domains.
Ways to Stand Out from the Crowd:
Proven passion for solving sophisticated technical problems and delivering impactful solutions.
Record of publications in top-tier conferences.
Experience in designing and building large-scale AI training clusters.
Post-PhD research experience
Practical understanding of deep learning systems, GPU acceleration, and AI model execution flows.
These jobs might be a good fit