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21/06/2026
Location: Yokne`am and Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Networking Software Engineer to join our RDMA Transport Software team, driving the development of next-generation RDMA solutions for AI, cloud, HPC, and storage. You will research and develop innovative transport algorithms that push the limits of performance and scalability. You will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the worlds largest enterprises

What you'll be doing:
Take part in research, design, and development of advanced RDMA transport mechanisms and algorithms, enhancing performance, reliability, and scalability.
Collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements.
Keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process
Requirements:
What we need to see:
Bachelor's or Master's degree in Electrical Engineering or Computer Science fields from a known institute.
5+ years of development experience
Knowledge with RoCE and/or InfiniBand, along with a background in RDMA development across software, firmware, or hardware.
Strong problem-solving skills with a hands-on approach, able to dive deep into the RDMA stack and solve complex issues.
Proficiency in C/C++ and embedded systems programming.
Fast learner possessing the ability to learn complex concepts in a fast-paced environment.
A can-do attitude and high energy with excellent collaboration, and social skills.

Ways to stand out from the crowd:
Background with data centers networking & storage workloads (advantage).
Familiar with RDMA, InfiniBand, or Ethernet technologies
Experience designing or tuning congestion control, flow control, or loss recovery mechanisms in high-performance networks.
This position is open to all candidates.
 
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21/06/2026
Location: Yokne`am
Job Type: Full Time
The NVIDIA Networking Advanced Development Software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. These are emerging technologies in networking and distributed computing for the booming AI factories and data centers. They span areas such as AI neural networks, Deep Learning, High Performance Computing (HPC), Storage, Cloud, SW Defined Network, Network Function Virtualization and more. We develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading NVIDIA devices. The development traverses any needed component - application SW, middleware SW, OS kernel subsystems, device drivers, embedded SW (Firmware) and CUDA GPU. We collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.

What youll be doing:

Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware.

Work on impactful projects involving state-of-the-art high-performance computing hardware and software.

Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology.

Collaborate with NVIDIA partners and customers.
Requirements:
What we need to see:

B.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.

5+ overall years of industry experience in system programming or related fields.

Understanding of multi core hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, real-time.

Excellent programming skills.

Ability to learn complex concepts in a fast pace environment.

A teammate with a can-do attitude, high energy and excellent interpersonal skills.


Ways to stand out from a crowd:

Familiarity with networking protocols.

Hands-on experience with CUDA programming and GPU acceleration.

Hands-on experience with LLM serving frameworks.

Experience with open-source projects (coursework, personal, or contributions).

Working in a fast-paced and dynamic environment.
This position is open to all candidates.
 
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23/06/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are looking for a Team Leader to build and run our Customer Facing Architects group focused on Spectrum-X in Israel. This team serves as the technical connection between our internal AI Networking compose group and our top customers. These include hyperscalers, cloud service providers, sovereign AI initiatives, and corporate AI solution developers rs.

What youll be doing:

Team Leadership, Build and guide a team of senior Spectrum-X customer-facing architects. Set technical direction, own hiring and mentoring, and establish clear roadmap for customer early engagement, onboarding and tracking lifecycle.

Customer Architecture & Technical Ownership, Serve as the senior technical authority for Spectrum-X deployments at hyperscalers, national AI programs, and enterprise AI factories. Drive E2E solution adoption, lead sophisticated technical architecture issues in the solution, and guide customers through configuration, tuning, and performance debugging at the NIC, switch, and fabric level. Convey customer's needs, and lead strategic PoCs and benchmarks to demonstrate Spectrum-X advantages.

Product Feedback, Turn field findings and customer difficulties into concrete feedback for R&D, ASIC, and software teams while partnering with AI Networking Architecture to make sure our deployment realities shape next-gen Spectrum-X design.

Work with Product Management to influence reference architectures and go-to-market strategy and represent Spectrum-X at customer briefings and industry events such as SC, OCP, and Hot Interconnects
Requirements:
What we need to see:

BSc/MSc/PhD in Electrical/Computer Engineering, Computer Science, or a related engineering field from leading academic institute.

12+ overall years of experience in networking, solutions/field engineering, or network architecture related to data center operations

5+ years in management role.

Deep, hands-on expertise in data center fabric design: Clos/leaf-spine topologies, BGP, L2/L3 congestion signalling, datapath configurations, and L2/L3 switching at scale.

Proven understanding of RDMA networking: RoCE v2, InfiniBand semantics, congestion control (ECN/PFC/DCQCN), and the interaction between transport behavior and AI training communication patterns (all-reduce, all-to-all).

Proven experience with customer-facing technical roles - pre-sales architecture, field engineering, critical issues, or professional services - working with major hyperscalers or CSP accounts.

Demonstrated ability to lead distributed technical teams, set direction, and deliver results in ambiguous, fast-moving environments.

Excellent communication skills; ability to present to senior technical and executive collaborators.


Ways to stand out from the crowd:

Direct experience with NVIDIA Spectrum switches, ConnectX NICs, or BlueField DPUs in production or lab environments.

Familiarity with AI/ML training frameworks (PyTorch, NCCL) and how collective communication patterns work well with network fabric design.

Background in network telemetry, observability tooling, or adaptive routing algorithms.

Experience with multi-tenant AI fabric isolation, network slicing, or traffic engineering in GPU cluster environments.

Prior collaboration with ASIC or silicon teams on network feature definition.
This position is open to all candidates.
 
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23/06/2026
Location: Ra'anana and Yokne`am
Job Type: Full Time
In this role, you will help build the evolution of our DOCA Networking software stack - the accelerated infrastructure framework powering AI factories and distributed computing platforms. You will drive software innovation from vision to real-world impact, influencing some of the most advanced computing systems in the world. As part of the DOCA Product Group, you will lead software strategy for ConnectX NIC and BlueField DPU platforms - key pillars of our data center and AI networking strategy - helping build the intelligent infrastructure of tomorrow.

What You'll Be Doing:

Lead the Product-strategy for DOCA networking stack and products across their life-cycle: from vision and inception, through detailed customer & ecosystem requirements, roadmap crafting, market introduction, growing into in-scale delivery, and product improvement cycles.

Orchestrate a unified technical strategy between AI product teams, engineering teams, and customers to advocate the use of DOCA libraries & microservices, and to develop new DOCA APIs and services for new deployments.

Drive multidisciplinary engineering and architecture teams to establish priorities and define precise, actionable requirements for breakthrough projects.

Forge strong partnerships with customers and ecosystem partners - actively listening to their technical needs, delivering expert mentorship, and supporting successful, large-scale AI (and other) deployments that drive their strategic goals.

Create use cases and reference applications to demonstrate product value to technical and executive audiences.

Gather insights to define future products, including analysis of complementary and competitive products and customer feedback.
Requirements:
What We Need to See:

BSc/MSc in Computer Science, Communication Engineering, Software Engineering, or equivalent experience.

12+ years of experience in R&D, architecture, and program management, with primary focus on product management leadership in Data Center Networking with proven track record in defining and driving both inbound and outbound product strategy across complex technologies and cross-functional organizations.

MBA or similar experience, with a balance of technical and business knowledge.

Deeply versed in hardware-accelerated networking protocols (RDMA, ETH, and more), technologies (DPDK, OVS, and more), and full Product-solutions in Data Center and Cloud environments.

Strong ability to deliver complex, Linux-based networking software frameworks and SDKs specifically architected for cloud providers, hyperscalers, and large-scale enterprise deployments.

Translate global customer and business insights into high-impact networking solutions, bridging the gap between deep technical requirements and long-term strategic goals.

Proven experience driving vision into reality by navigating complex, global organizational matrices, using exceptional communication to align cross-functional engineering and product teams.

Highly motivated, fast learner, and a team-player.


Ways to Stand Out from the Crowd:

Strong background in Data-Centre clusters and topologies, AI-driven networking, storage, security, and orchestration techniques.

Hands-on experience with networking infrastructure and DPU architecture, programmable networking pipelines, and NVIDIA technologies (CUDA, embedded solutions), with deep platform ecosystem knowledge

Proven leadership in complex hardware/software systems development, Including: SW, embedded SW, and HW. Supplying complete solutions: from the networking infrastructure, through SDKs and services, and into the application-level.

Success in partnering with Tier-1 customers on networking and cloud infrastructure deployments.

Extensive product management experience in international organizations, with a focus on adaptability and cross-cultural collaboration as well as vast experience as a R&D manager, or engineering program manager.
This position is open to all candidates.
 
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21/06/2026
Job Type: Full Time
We are looking for a Senior Network Engineer to join a dynamic, results-oriented team supporting InfiniBand and Ethernet fabrics in the most demanding data center, AI, storage, and HPC environments. As a Technical Support Engineer, you will be an approachable, proficient communicator who takes ownership of resolving issues while ensuring a high level of customer satisfaction. You will work closely with Engineering, Marketing, and Support teams on complex technical issues.

What you will be doing:

Tier 3 support for InfiniBand and Ethernet fabrics: installing, supporting, and resolving complex technical issues in large AI/HPC and storage clusters.

Troubleshooting end-to-end InfiniBand fabrics - subnet management (UFM / OpenSM), routing topology and congestion control.

Developing and presenting comprehensive technical solutions to customer problems, including project management of complex fabric installations.

Problem reporting, issue replication, and resolution management.

Responding to customer technical inquiries.

Site visits and conference calls with customers and partners.

Developing and refining internal processes to improve support efficiency and productivity.
Requirements:
What we need to see:

B.Sc. in Computer Science, Software Engineering, or Electrical Engineering, or equivalent experience.

5+ years providing customer support for hardware & software products.

Hands-on InfiniBand experience - OR deep Ethernet/RDMA expertise with a demonstrated ability and strong motivation to ramp quickly on InfiniBand (subnet manager, fabric topologies such as fat-tree, RDMA verbs, diagnostics).

Extensive knowledge of LAN switching/routing (STP, MSTP, MLAG, VPC, VRRP, LACP) and IP routing (OSPF, BGP, PIM), plus virtualization, EVPN, VXLAN.

Linux experience and scripting.

Automation - Ansible.

Ability to work under pressure and support high-level customers.

Experience operating and configuring major vendors' switches and routers.

Analysis and diagnosis of highly complex networking problems.

Strong communication, presentation, and oral skills; excellent verbal and written English.


Ways to stand out from the crowd:

Deep InfiniBand expertise: UFM, OpenSM, adaptive routing, congestion control, link-layer troubleshooting, ibdiagnet/perftest, ConnectX/BlueField adapters.

RDMA, RoCE, and GPUDirect RDMA in production AI/HPC clusters.

Clustering and data-center technologies, including upper-layer protocols (e.g., MPI, NCCL).

Knowledge of Linux/Unix at an administration level.

Ethernet (10/40/100+ GigE) and/or InfiniBand at scale.
This position is open to all candidates.
 
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18/06/2026
Location: Yokne`am
Job Type: Full Time
Our Interconnect Networking Product Engineering team is looking for an excellent hardware engineer with strong coding, analysis, and debugging skills. This role requires a deep understanding of both hardware and software to develop robust test capabilities and processes. You will drive efficient integration and provide engineering support for production testing of cutting-edge product technology. You will help ensure reliable, efficient production tests with high coverage and strong outgoing product quality.

What youll be doing:

Characterize and develop test processes of advanced interconnect products.

Play a key role in the development and bring-up of advanced hardware test solutions supporting next-generation interconnect products.

Develop embedded software capabilities packages to support various of advanced power components and Digital\ Analog ICs

Cooperate with multidisciplinary design and analysis teams for bring up, performance optimization and seamless production integration.

Lead test solution innovations to reduce test time, costs and improve overall product quality.

Develop software solutions to find, debug, and resolve problems in the production and bring-up processes.

Collaborate with overseas manufacturing and mass-production teams to improve yield, test coverage, and capacity, and to resolve production issues.

Lead advanced studies of product behavior under a wide range of system and environmental conditions.
Requirements:
What we need to see:

BSc in Computer Science, Electrical Engineering, or a related field.

3+ years of related experience in electronics development or integration.

Proven experience in Python development including access and control ICs, MCUs over I2C (Advantage).

Experience with Hardware products integration and HW lab measurement equipment.

Excellent communication skills and hands-on experience collaborating with global, cross-functional teams

Self learner, with strong motivation and a great teammate.

Ways to stand out from the crowd:

Excellent programming, HW/SW debugging and analysis skills.

Knowledge of silicon photonics, retimers, PAM4 and high-speed communication architectures.

Familiarity with hardware test development, mass-production testing, and qualification test processes.

Architectural out-of-the-box thinking, comfortable operating in a fast-changing environment, deliver short and long term solutions for challenging requirements.

Highly motivated, end-to-end problem solver with a strong ownership mindset.
This position is open to all candidates.
 
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18/06/2026
Location: More than one
Job Type: Full Time
We're looking for a Senior Data Scientist to join the AI cybersecurity team in the Security and Networking Architecture group. As a Senior Data Scientist youll have the opportunity to take an active part in the research and development of our world-class networking and data center security products. This role involves creative problem solving alongside engineering teams, and is key for the continued success of AI networking security.

What youll be doing:

Developing agentic AI systems for security, combining generative models, RAG, and tool-augmented reasoning to automate threat analysis and response workflows.

Optimizing and fine-tuning models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Developing, implementing and improving models and algorithms across media types, whether time series, images, text, audio or video.

Leveraging data pipelines to efficiently process and transform large volumes of data for training and inference purposes.

Applying alignment techniques and parameter efficient fine-tuning to improve model performance.

Measuring and benchmarking model and application performance to drive improvements.

Driving the gathering, building, and annotation of domain specific datasets for benchmarking and training.

Collaborating closely with software and hardware engineers on new features and improvements. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.
Requirements:
What we need to see:

MS/PhD with expertise in Computer Science, Computer Engineering, Electrical Engineering or related field with a focus on Deep Learning or Machine Learning.

5+ years of experience in deep learning and machine learning in a production environment.

Excellent Python programming skills, strong software design fundamentals, and experience leveraging coding agents in development workflows.

Hands-on experience with deep learning development frameworks and libraries (e.g. TensorFlow, PyTorch).

Experience with large scale production systems and pipelines, with a track record of developing production-grade models

Experience with agentic AI systems, agent frameworks, and evaluation of agent performance and reliability.

Strong algorithm development experience, with knowledge of inference optimization techniques such as model distillation, quantization, pruning.

Background with algorithms including zero/few-shot learning, self-supervised and unsupervised learning and generative AI models for synthetic data creation.

Experience with fine-tune / training LLM models

You are proactive, take full ownership of your deliverables, have a can-do approach, and are excited to learn, explore and apply your skills and creativity to some of the most challenging and rewarding problems in the field.


What will make you stand out from the crowd:

Strong software development experience.

Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT.

Experience with tools for data processing and storage.

Security and networking background, with knowledge of security protocols, network architectures, firewalls, intrusion detection systems, and other relevant security and networking concepts.
This position is open to all candidates.
 
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21/06/2026
חברה חסויה
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are looking for a top-tier, high-energy Senior Software Engineer to join our Networking Devices Management Tools group. We build the mission-critical tools used worldwide by tech giants and open-source communities to configure, manage, and debug our cutting-edge networking hardware used as part of our AI super computers. If you are highly motivated, love solving complex problems, and thrive in a fast-paced, dynamic environment - we want you with us!


What you'll be doing:

As a key player in our Agile team, youll design, implement, build, and own next-gen management tools specifically for our networking products.

Code Across the Stack: Write fast, maintainable, and generic code in C++ and Python (using OOP methodology) interacting closely with networking devices.

Code Across the Stack: Write fast, maintainable, and generic code in C++ and Python (using OOP methodology) interacting closely with networking devices. Youll build cross-platform solutions supporting both Linux and Windows, leveraging cutting-edge AI tools (Cursor, Claude, etc.) to supercharge your development workflow.

Own & Deliver: Take features from architectural solutions to technical design, estimation, deployment, and testing.

Collaborate & Influence: Partner with multiple hardware and software dev teams across the Networking BU. You will represent the team and drive technical presentations across major cross-company projects.

Grow Continuously: Expand your technical capabilities in a high-octane team that never stands still.
Requirements:
What we need to see:

Foundation and Experience: BSc in Computer Science, Computer Engineering, or equivalent experience. 5+ years of hands-on software development experience.

Tech Stack: Excellent C++ and Python programming skills with strong OOP superpowers. Strong hands-on experience with Linux, Git, and VS Code

The Leadership Mindset: A proven ability to take initiative, lead initiatives, and push processes forward independently.

The Problem Solver: Creative thinking and strong investigative skills-someone who can take amorphous, high-level requirements and translate them into solid technical execution.

The Communication: A team player who communicates flawlessly and thrives in a dynamic, fast-paced environment.
This position is open to all candidates.
 
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23/06/2026
Location: More than one
Job Type: Full Time
We are seeking an AI Networking Exploration Architect for our Networking Insights Group to bridge the gap between cutting-edge, hyper-scale AI workloads and the datacenter infrastructure that enables them. You will join a small, focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding and end-to-end systems thinking. Your insights will directly shape our products across the full stack-from applications and software libraries to hardware architecture and physical design.

What You'll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Translate state-of-the-art research into actionable infrastructure, software, and hardware features in partnership with architecture teams.

Rapidly master new AI domains (LLMs, generative models, multimodal systems) and distill key findings for product teams.

Incorporate your deep knowledge of AI applications into our hardware and software roadmaps.

Conduct independent research by formulating hypotheses about workload behavior and validating them through rigorous analysis.

Drive architectural innovation and network optimization by applying your domain expertise to exploratory analysis of real-world Deep Learning (DL) workloads.
Requirements:
What we need to see:

M.Sc. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

+5 years of experience.

Strong ML/Data Science background with hands-on experience in LLMs or generative AI.

A systems-level mindset with the ability to estimate end-to-end requirements across the entire AI stack.

Proven ability to translate research and product requirements into clear software/hardware specifications.

Exceptional research skills: you can digest academic papers, self-learn new domains, and independently test hypotheses.

Advanced Python programming skills for performance modeling and data analysis.

Excellent communication skills, with the ability to present complex findings with clarity and conviction.

A pragmatic approach: you are detail-oriented but can prioritize effectively to focus on the most critical issues.


Ways to Stand Out from the Crowd:

Deep understanding of datacenter infrastructure, network topologies, and protocols.

Expertise in distributed training methods and their impact on infrastructure.

Knowledge of AI performance metrics and the impact of different deployment strategies.

Experience extrapolating academic research into tangible hardware architecture requirements.

A track record of leading complex, multidisciplinary research projects that result in production impact.
This position is open to all candidates.
 
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18/06/2026
Location: Yokne`am and Tel Hai
Job Type: Full Time
We are looking for a Software Engineer to join NSV tools (Network Solutions Validation) group. As a team member, you will be part of a development effort of high-performing software automation systems for our Data Center environments. You will interact with NIC, OS, Switch, HCA, CPU and GPU compute as well as architects, network engineers, and developers. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?



What youll be doing:
Design and develop an automation platform used to provision, configure, and monitor HPC data centers.
Implement scalable, reliable, and maintainable services that enhance cluster visibility and improve operational efficiency.
Collaborate closely with internal and external stakeholders to understand requirements and deliver robust full-cycle solutions.
Improve stability and performance across the provisioning pipeline through architectural enhancements and code optimizations.
Troubleshoot issues in distributed environments and contribute to system observability and reliability improvements.
Work cross-functionally with architects, DevOps engineers, product managers and stakeholders to ensure high-quality releases.
Participate in code reviews, technical design discussions, and continuous improvement activities within the team.
Requirements:
What we need to see:
B.Sc. in Computer Science, Engineering, or a related field (or equivalent practical experience).
3+ software development experience.
Familiarity with Networking concept and protocols.
Scripting and automation skills (Bash, Python, Ansible).
Experience with version control systems (Git) and CI/CD pipelines.
Independent, fast learner with strong ownership mindset.
Excellent debugging and problem-solving skills.
Effective communication abilities, Team player, customer oriented.


Ways to stand out from the crowd:
Hands-on experience on Linux-based platform.
Background in DevOps and Network Engineering practices.
Familiarity with DevOps methodologies and tools (e.g., Jenkins, Ansible).
Hands-on experience with large-scale network architectures, switches/routers, OVS, SR-IOV, and network operating/management systems.
Networking expertise: Ethernet, VLANs, TCP/UDP/IP, QoS, L2/L3 protocols, BGP, EVPN/VXLAN, and common network topologies.
This position is open to all candidates.
 
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8701236
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21/06/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.


What Youll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.
Requirements:
What we need to see:

B.Sc. Or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

3+ years of relevant industry or research experience.

Strong machine learning or data science background, with hands-on experience in LLMs, generative AI, or deep learning systems.

Strong systems-level thinking, capable of estimating end-to-end requirements across the AI stack.

Shown ability to translate research findings and product requirements into clear software and hardware specifications.

Excellent research skills, including the ability to digest academic papers, self-learn new domains, and independently test hypotheses.

Advanced programming skills for performance modeling, data analysis, and prototyping.

Excellent communication skills, demonstrating proficiency in presenting complex technical findings clearly and confidently.


Ways to Stand Out from the crowd:

Experience with distributed training, distributed inference, or large-scale AI serving systems.

Experience in Agentic programming, and AI tools.

Familiarity with GPU clusters, collective communication, storage systems, or AI networking bottlenecks.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8702891
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