

What You’ll Be Doing:
What We Need to See:
Ways to Stand Out from the Crowd:
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:
The candidate will be responsible for Critical component evaluation and introduction to our interconnect products.
The candidate will work with design, HW and process groups to improve or resolve critical components aspects .
New critical component Qualification and Reliability assessment.
Evaluate High speed performance and margins of the critical component.
Run DOE’s and corners samples analysis to evaluate system level performance under different use scenarios.
Set automation tools and monitors to control critical components introduction to the manufacturing line.
Implement new screening methodologies to ensure MLNX quality standards.
Investigation of reliability issues at the CM and Customers sites.
What we need to see:
BSc (MSc pref.) or equivalent - Strong statistics and data analysis background (JMP or other tools)
3+ years of Experience in IC/Silicon manufacturing process including fab, test and assembly.
Good understanding of product/test HW/Test software/Mechanical integration
Experience or background in running a product in high volume production (ICs, systems or other).
Experience with statistics or data analysis tools , data extract tools.
Background with IC Lab measurements using source mete, Scope, spectrum analyzer, optical power meter etc.
Knowledge of electro optical devices (Lasers and Detectors).
Familiar with high speed fiber optics products, good understanding of system/IC assembly process.
Ways to stand out from the crowd:
Knowledgeable in DFT/DFM/DOE techniques.
Experience in electro optical assembly lines.
משרות נוספות שיכולות לעניין אותך

What you’ll be doing:
Crafting and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.
Collaborating closely with backend engineers, product managers, and other partners to deliver impactful solutions.
Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.
Conducting code and build reviews to uphold high-quality standards and mentor team members.
Leading the development and implementation of advanced identity management systems that secure NVIDIA’s innovative AI and GPU cloud.
Developing scalable multi-tenant solutions that allow our diverse clientele to harness the power of NVIDIA’s platforms securely and efficiently.
Collaborating with multi-functional teams to integrate identity and access management features seamlessly into our products, from cloud services to edge computing devices.
What we need to see:
B.Sc. in Computer Science or a related field (or equivalent experience).
5+ years of experience
Experience in backend software development, including system design and architecture.
Proficiency in at least one backend programming language (Go preferred).
Strong knowledge in microservices architecture, RESTful APIs, and relational databases.
Proficient knowledge of security guidelines and experience applying them in large-scale systems.
Expertise in implementing OAuth, OIDC, SAML, and other modern authentication protocols - Advantage
Ways to stand out from the crowd:
Expertise in Kubernetes internals and advanced cloud-native technologies.
Experience working in Linux environments with knowledge of networking, security, and virtualization.
Contributions to open-source projects or active participation in tech communities.
Agile approach and familiarity with standard methodologies.
משרות נוספות שיכולות לעניין אותך

As a Director of Technical Program Managers in the Software Networking Architecture team, you will lead and grow a program management team within a rapidly expanding architecture group, driving accelerated development of early-stage capabilities. You’ll join a team of specialists spanning multiple technological domains of the modern data center — including distributed AI and deep learning systems, networking operating systems, virtualization, storage, and more.
What you'll be doing:
Lead and Develop Project Managers: Manage a team of project managers driving networking software programs for NVIDIA’s next-generation AI data centers during the early development phase, from project initiation until features are part of the engineering Plan of Record (POR).
Define and Improve Processes: Identify gaps in current architecture practices and establish program management methodologies for planning, prioritization, and KPI alignment.
Act as the lead Technical Program Manager for one of the core networking software technologies, driving the program from initiation through integration into the engineering Plan of Record (POR).
Foster Cross-Functional Collaboration: Act as a bridge across teams, programs, business units, and functions to align efforts, anticipate challenges, and ensure smooth execution.
Oversee the Big Picture: Manage technical and business dependencies, facilitating scalable communication, and enabling coordinated execution across the organization to ensure consistency with company strategy, commitments, and goals
Be Results-Oriented and Strategic: Driving systematic planning, tracking progress, and ensuring accountability and visibility to executives.
Identify risks, gaps, and bottlenecks in time, and find resolution with technical leadersand project management
What we need to see:
B.Sc. or M.Sc. inComputerScience, Electrical Engineering,or related field
Expert with softwareproject management methodologies and tools.
15+ overall years' experience in SW Project management, with at least 6+ years of direct management experience
Experience in software development over hardware/Silicon products
Teammate, independent, responsible, capable of multi-tasking, ability to drive people and tasks.
Excellent verbal and written communication skills with English proficiency
Ability and willingness to work in a dynamic environment and flexible hours, with teams all over the world
Ways to stand out from the crowd:
Technical orientation, including the ability to conduct technical discussions
Networking background
Experience in multiple groups coordination
Familiarity with software Agile concept
משרות נוספות שיכולות לעניין אותך

What you'll be doing:
Developing a brand new digital twin powered by CUDA technology for advanced research on data centers.
Collaborating with a team of extraordinary engineers and researchers to develop and implement innovative solutions.
Partnering with diverse teams to ensure smooth integration and deployment of network solutions.
Continuously exploring new technologies and methodologies to improve our network capabilities.
What we need to see:
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
5+ years of experience in computer science, network engineering or related fields.
Excellent problem-solving skills.
Outstanding collaboration and communication skills.
Ways to Stand Out From the Crowd:
Hands-on experience developing CUDA applications
Extensive knowledge of network protocols
Proficient knowledge of extensive network simulations and AI datacenter ecosystems.
משרות נוספות שיכולות לעניין אותך

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.
משרות נוספות שיכולות לעניין אותך

What You’ll Be Doing:
What We Need to See:
Ways to Stand Out from the Crowd:
משרות נוספות שיכולות לעניין אותך