

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.
משרות נוספות שיכולות לעניין אותך

What you’ll be doing:
Work on NVIDIA current and next generation of Networking devices and GPU.
Build and create Firmware Phy solutions for our new SerDes and physical linkup flow.
Work closely with our costumer support team to build solutions for our costumers
Work with the architecture, HW, and SW design teams
Debug and screen HW/FW/SW issues
Lead data-driven discussions about the product functionality and areas for improvement
Define implement and maintain FW algorithm to control the Silicon
Take an active part in silicon bring-up and SW development phases
What we need to see:
B.Sc. or M.Sc. in Electrical or Computer Engineering
3+ years of relevant experience
Proficient programming in C
Experience working in Git.
Debugging experience and ability to investigate and triage difficult problems in embedded FW
Good communication skills and the ability to work with people across several countries
Ability to work with interrupts and dynamic environment with good spirit.
Excellent English verbal and written communication skills
Ways to stand out from the crowd:
Proficient in Python
Good understanding of SerDes operation
Experience with developing the physical layer of communication protocols
Knowledgeable of Hardware/Software Development Process
Strong collaborative and interpersonal skills, with an ability to successfully guide and influence

What you'll be doing:
Work in a combined design and verification team which develops some of the switch silicon core units.
Build reference models, verify and simulate chip blocks/entities according to specifications.
Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW.
What we need to see:
4+ years of experience in RTL design or RTL verification.
Previous experience in networking - an advantage.
B.Sc. in Electrical Engineering or Computer Engineering.
A team player with good communication and interpersonal skills.

What You'll Be Doing:
Work in a combined design and verification team which develops some of the switch silicon core units.
Micro-architecture for RTL and simulation environment planning for units and modules.
Design/Verify RTL units/blocks according to Arch. specifications under challenging constraints with high orientation to power, area, and performance.
Build reference models, verify, and simulate chip blocks/entities according to specifications.
RTL synthesis, timing, supporting verification, and silicon post TO activities.
Work closely with multiple teams within organizations such as Architecture, Full chip Micro-Architecture, BE, and FW.
What We Need To See:
B.Sc. in Electrical Engineering or Computer Engineering with high scores or equivalent experience.
1+ years of experience in RTL design and/or dynamic verification.
Completion of programming and logic design courses.
A great teammate with good communication and interpersonal skills.

What you'll be doing:
Work on developing the next generation PHY layer for the Ethernet Switch and NIC (network adapter) product lines.
Be responsible for designing, developing, and delivering new networking features, debugging real problems of FW PHY flows on customer setups.
Innovate! Bring NVIDIA products to the next quality level.
What we need to see:
B.Sc. in Computer Science / Computer Engineering / Electrical Engineering or equivalent experience
2+ years of experience with C/CPP embedded
Knowledge in Linux
Phenomenal debug skills
Creative, motivated and collaborative person
Ways to stand out from the crowd:
Motivation to learn and constantly improve processes and tools
Experience with Networking applications and protocols
Background with Git/Gerrit
Experience with python
Knowledge of real-time SW

What you’ll be doing:
Work on NVIDIA current and next generation of Networking devices and GPU.
Build and create Firmware Phy solutions for our new SerDes and physical linkup flow.
Work closely with the architecture, HW, and SW design teams
Define implement and maintain FW algorithm to control the Silicon
Debug and screen HW/FW/SW issues
Take an active part in silicon bring-up and SW development phases
Work closely with our costumer support team to build solutions for our costumers.
Lead data-driven discussions about the product functionality and areas for improvement
What we need to see:
B.Sc. or M.Sc. in Electrical or Computer Engineering
2+ years of relevant experience
Proficient programming in C
Experience working in Git.
Debugging experience and ability to investigate and triage difficult problems in embedded FW
Good communication skills and the ability to work with people across several countries
Ability to work with interrupts and dynamic environment with good spirit.
Excellent English verbal and written communication skills
Ways to stand out from the crowd:
Proficient in Python
Good understanding of SerDes operation
Experience with developing the physical layer of communication protocols
Knowledgeable of Hardware/Software Development Process
Strong collaborative and interpersonal skills, with an ability to successfully guide and influence

What you'll be doing:
Work on developing the next generation PHY layer for the Ethernet Switch and NIC (network adapter) product lines.
Be responsible for designing, developing, and delivering new networking features, debugging real problems of FW PHY flows on customer setups.
Innovate! Bring NVIDIA products to the next quality level.
What we need to see:
B.Sc. in Computer Science / Computer Engineering / Electrical Engineering or equivalent experience
5+ years of experience with C/CPP embedded
Knowledge in Linux
Phenomenal debug skills
Creative, motivated and collaborative person
Ways to stand out from the crowd:
Motivation to learn and constantly improve processes and tools
Experience with Networking applications and protocols
Background with Git/Gerrit
Experience with python
Knowledge of real-time SW

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.
משרות נוספות שיכולות לעניין אותך