

What you'll be doing:
Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.
Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)
Work on proof of concepts and advance development projects.
Perform research and analysis for current and future architectures.
Craft product design specifications.
Serve as a focal point within the organization and distribute the knowledge that you acquire.
What we need to see:
BSc or MSc or equivalent experience in electrical engineering.
Deep understanding of how to build and integrate systems with various technology components.
Knowledge and understanding of computing and networking systems.
A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment.
Utmost passion for attention to details in design and a high focus on design quality.
Ways to stand out from the crowd:
Experience and love for system architecture,
משרות נוספות שיכולות לעניין אותך

What you'll be doing:
Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.
Facilitate co-creation workshops to transform SME rules of thumb into specific assignments, resources, cues, and guidelines. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in NVIDIA's HW simulation analysis and GPU-kernel optimization workflows.
Rapidly prototype and thoughtfully productize; integrate with internal services, utilize GPU capabilities, remove bottlenecks, and deliver fitting solutions.
Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.
Mentor and improve teams through insights in agent orchestration, prompting, RAG, observability, crafting documentation and playbooks for NVIDIA's teams.
What we need to see:
7+ years in applied ML/AI or large-scale systems, with 3+ years crafting agentic or LLM-powered applications in production environments.
B.Sc in Computer Science/ Electrical Engineering
Proven ownership of at least one end-to-end agentic system or LLM application: requirements, architecture, implementation, evaluation, and incremental hardening in production.
Strong software engineering skills in Python and one systems language (C++ or Rust preferred); experience integrating with GPUs, CUDA, or performance-critical services.
Proficient in PyTorch or TensorFlow; skilled in tool use, RAG pipelines, and model adaptation.
Demonstrated ability to collaborate with HW/SW domain experts and translate their heuristics into deterministic tools, constraints, and evaluation metrics.
Excellence in communication and facilitation: aligning diverse collaborators, documentingdecisions/assumptions,and influencing without authority.
Track record of building observability for AI systems: dataset/version management, offline test suites, online telemetry, guardrails/safety checks, and rollback plans.
Proactive, independent, possessing strong analytical and problem-solving abilities; adept at handling uncertainty to provide practical, gradual benefits.
משרות נוספות שיכולות לעניין אותך

with opportunities for growth, learning, and leadership.
Join one of the most desirable employers in the tech industry and help us build the next generation of GPU networking silicon.
What you’ll be doing:
Drive chip-level integration for advanced GPU networking silicon projects.
Collaborate with architecture, RTL design, verification, FV and physical design teams to ensure seamless integration and optimal performance.
Develop and maintain integration flows, methodologies, and automation to improve efficiency and quality.
Perform RTL synthesis, timing analysis, and support verification and post-silicon activities.
Handle Clock Domain Crossing (CDC) checks and ensure robust design practices.
Work closely with multiple teams across architecture, micro-architecture, backend, and firmware to deliver high-quality silicon.
Contribute to state-of-the-art technologies delivering industry-leading throughput and ultra-low latency for GPU networking solutions.
What we need to see:
B.Sc. in Electrical or Computer Engineering
5+ years of experience in chip design, integration, RTL design and/or verification
Strong knowledge of Verilog /System Verilog and RTL design principles.
Hands-on experience with CDC analysis, synthesis, and timing closure.
Familiarity with EDA tools (Synopsys, Cadence, Mentor) and scripting languages (Python, TCL).
Excellent communication skills and ability to work in a collaborative, fast-paced environment.
Ways to stand out from the crowd:
Knowledge of network protocols, HPC, or distributed systems – an advantage.
משרות נוספות שיכולות לעניין אותך

What you'll be doing:
Lead design of new networking applicationsto 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 we need to see:
5+ years of practical experience in firmware design and/or firmware architecture.
A B.Sc or equivalent experience in Computer Engineering, Electrical Engineering, or Computer Science with outstanding grades.
Excellent verbal and written communication skills.
Proven ability to work in a collaborative, team-oriented environment.
Ways to stand out from the crowd:
Knowledge of Ethernet/IP technologies, cloud, or data-center technologies.
Experience in programming computer networks.
Strong understanding of system design principles.
משרות נוספות שיכולות לעניין אותך

What you'll be doing:
Take a crucial part in developing NVIDIA's next-generation chip controller
Design and verification with challenging multi-discipline context
Take part in the development of all NVIDIA's networking and GPU networking chips and systems.
What we need to see:
B.SC./ M.SC. in ComputerEngineering/ElectricalEngineering/CommunicationEngineering with high scores, or equivalent experience.
2+ years of validated experience in ASIC Verification and/or RTL (Chip Design)
High Level of English
A team player with good communication and interpersonal skills.
Ways to stand out from the crowd:
Background in Specman
Knowledge in HDL (Verilog/VHDL)
Experience in Mixed Signals, Analog, and Behavioral Models for Verification
משרות נוספות שיכולות לעניין אותך

What you will be doing:
Join Beer-Sheva/Tel-Aviv group, working ondesigning/verificationin the fields of encryption.
Design and verification for chip blocks/entities according to specifications under challenging constraints and with high orientation to power, area and performance.
Daily work will involve design/verification and might involve any or all aspects of chip development including design and micro-architecture.
Work closely with firmware and other groups around the globe.
What we need to see:
B.SC./M.SC. or equivalent experience in ElectricalEngineering/CommunicationEngineering/Computer Engineering
0+ years of validated experience in RTL Frontend ASIC Verification or Design (Chip Design)
High Level of English
Ways to stand out from the crowd:
Former experience in RTL Frontend ASIC Verification: 2+ years
Knowledge in Specman
Knowledge in Verilog
משרות נוספות שיכולות לעניין אותך

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:
Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.
Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)
Work on proof of concepts and advance development projects.
Perform research and analysis for current and future architectures.
Craft product design specifications.
Serve as a focal point within the organization and distribute the knowledge that you acquire.
What we need to see:
BSc or MSc or equivalent experience in electrical engineering.
Deep understanding of how to build and integrate systems with various technology components.
Knowledge and understanding of computing and networking systems.
A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment.
Utmost passion for attention to details in design and a high focus on design quality.
Ways to stand out from the crowd:
Experience and love for system architecture,
משרות נוספות שיכולות לעניין אותך