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לפני 8 שעות
Location: Yokne`am and Ra'anana
Job Type: Full Time
We are currently seeking a hard-working Senior System and Hardware TimeSync Architect who flourishes with these types of challenges to join our Time Synchronization Architecture team.

In this role, you will be exposed to the newest technologies and will help define how our GPUs, CPUs, and networking devices use timing to power extraordinary products and applications. Specifically, you will focus on next-generation Radio Access Network (RAN) platforms for 5G and 6G, delivering innovative, scalable, and power-efficient TimeSync solutions. By working across hardware and software stacks, you will support sophisticated AI acceleration and drive industry-wide standardization. If you want to lead the industry and help us define the next generation of data center and telecommunications technology, this is where you belong.

What youll be doing:

Master our Time Synchronization Technology.

Define of hardware and system architectures.

Research and evaluate algorithms currently used in related applications.

Develop complex proof-of-concepts to demonstrate ideas.

Architect Time Synchronization hardware tailored to the requirements of next generation RAN workloads, including distributed, centralized, and small cell deployment scenarios.

Collaborate with software architects to define new features and robust SW-HW interfaces for diverse networking use cases.

Drive standardization and interoperability to support broad industry adoption.
Requirements:
What We Need to See:

M.Sc. or equivalent experience in Electrical Engineering or Computer Science from a leading university.

7+ years of experience in the industry, specifically in HW/SW architecture groups.

Familiarity with networking concepts, terms, and Software stack.

Consistent record to quickly adapt to new technologies and investigate emerging areas.

Hand-on programming capabilities in Python, C/C++.

Passion for problem-solving and algorithms research and development.

Strong capability to work independently, collaborate with multi-functional teams, and guide R&D efforts.

Excellent communication and presentation skills.

Ways To Stand Out From The Crowd:

Experience with IEEE 1588 PTP, Synchronous Ethernet, GPS/GNSS, oscillators and clock control algorithms.

Experience in networking hardware and software architecture, ideally with relation to telecom and RAN networks.

Knowledgeable about O-RAN architecture.

An understanding of clocks and signal processing.
This position is open to all candidates.
 
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11/01/2026
Location: More than one
Job Type: Full Time
We seek a highly motivated and experienced Software Architect specializing in Ethernet Switch ASICs to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining switching software stacks and Linux kernel networking, and help address new business opportunities in exciting areas. Our Architects also represent us in open-source projects, technical conferences, and standard development organizations.

What you'll be doing:

Explore networking technologies, features and protocols, hardware/software capabilities, open-source software and drivers for our Ethernet Switch ASICs and Networking platforms.

Be familiar with the Ethernet Switch ASIC hardware and software stacks, as well as with the Ethernet Switch platforms design and characteristics.

Define robust architectures and technical requirements for embedded software, meeting AI/ML workloads' needs and highly performing network operations.

Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.

Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.

Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.

Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.

Promote innovation through the design and implementation of Proof-of-Concept (PoC).
Requirements:
What we need to see:

B.Sc. or M.Sc. in Computer Science, Computer Engineering, or Electrical Engineering.

8+ years of experience in embedded software development for networking products, including 5+ years functioning as a Software Architect responsible for significant modules.

Expert-level knowledge in Ethernet/IP technologies, network topologies, and networking features in data center, telco and/or edge networks.

Highly experienced in embedded software design and operating system fundamentals.

Proven track record of proactively researching and integrating emerging technologies to develop practical applications and innovative solutions.

Leadership skills and accountability, including of past projects.

Clear verbal and written communication with the ability to build consensus within a large organization.

Possess problem-solving and critical thinking skills.

Ability to operate in a highly dynamic environment.

Ways to stand out of the crowd:

Wide knowledge in Switch ASIC hardware and Software Development Kit (SDK).

Deep understanding of the Linux kernel and networking.

Demonstrated ability to prototype ideas and demonstrate their value.

Applying ML/AI methods to solve networking problems.
This position is open to all candidates.
 
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11/01/2026
Location: More than one
Job Type: Full Time
We seek a highly motivated and experienced System Architect specializing in Data-Center, AI Fabric, and Ethernet Networking to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining end-to-end solutions, networking protocols and features, interworking with orchestration systems, and help address new business opportunities in exciting areas. Our Architects also represent us in open-source projects, technical conferences, and standard development organizations.

What you'll be doing:

Explore new technologies and end-to-end solutions for our Ethernet Networking Platforms.

Be familiar with data-center and AI fabric network topologies, AI/ML clusters operation and network usage, as well as with the Ethernet Switch platforms' design and characteristics.

Define robust architectures and technical requirements for network operating systems and end-to-end solution offering for AI/ML workloads' needs and highly performing network operations.

Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.

Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.

Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.

Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.

Promote innovation through the design and implementation of Proof-of-Concept (PoC).
Requirements:
What we need to see:

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

15+ years of experience in embedded software development for networking products, including 7+ years functioning as a System and/or Networking Architect.

Expert-level knowledge in Ethernet/IP technologies, network topologies, and networking features in data center, telco and/or edge networks.

Highly experienced in system software design and networking fundamentals.

Excellent understanding of large-scale network behavior and the effect of distributed computing workloads on the network.

Demonstrated ability to maintain technical foresight, conducting deep research and development into new technologies to generate innovative ideas and functional applications.

Leadership skills and accountability, including of past projects.

Clear verbal and written communication with the ability to build consensus within a large organization.

Possess problem-solving and critical thinking skills.

Ability to operate in a highly dynamic environment.

Ways to stand out of the crowd:

Extensive knowledge in various Switch ASIC hardware and Software Development Kit (SDK).

Demonstrated ability to prototype ideas and demonstrate their value.

Applying ML/AI methods to solve networking problems.
This position is open to all candidates.
 
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11/01/2026
Location: More than one
Job Type: Full Time
As a Senior Software Architect in the GPU Networking Architecture team, you will define Software Defined Networking architectural solutions. You'll also be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed AI and deep learning systems, Networking Operating Systems, Virtualization, Storage, and more.

What youll be doing:
Define system and software architecture for Software Defined Networking (SDN) of ground breaking emerging AI networks which involves innovative software and hardware.
Be an active member in setting the use-cases and metrics for Monitoring Complex High-speed Networks Control-plane.
Work closely with various groups within us to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.
Requirements:
What we need to see:
Hold a B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering (or equivalent experience).
8+ years of proven experience as a software architect.
Proven Networking experience.
A teammate with a can-do attitude, high energy and excellent interpersonal skills.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:
SDN definition/development experience.
InfiniBand hands-on experience.
Experience in Kubernetes.
Stellar communication skills.
This position is open to all candidates.
 
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6 ימים
חברה חסויה
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are looking for a creative and experienced Senior Firmware Engineer to join our PCIe Firmware team-someone passionate about using artificial intelligence to engineer the foundational hardware of the AI revolution.

As an integral part of our team, you'll architect and implement the core of our next-generation devices. This senior role places you at the center of innovation, where you will have a direct impact on our business and technology by solving sophisticated technical challenges. Its a unique opportunity to shape our technology and empower customers to build the supercomputers and AI fabrics of tomorrow.

What You'll Be Doing:
Lead the architectural design, development, and optimization of cutting-edge PCIe firmware, using AI-driven modeling and insights to deliver exceptional performance.

Serve as a trusted technical expert by investigating, debugging, and resolving challenging PCIe firmware issues for our most important customers.

Collaborate closely with our Chip Design, Verification, Software, and Architecture engineers to find root causes and develop robust, long-term solutions.

Champion the integration of AI-assisted diagnostics and generative AI tools across the entire development lifecycle to boost team productivity and innovation.

Translate customer needs and field data into actionable feedback that directly shapes the future of our products.
Requirements:
What We Need to See:
A degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent practical experience.

8+ years of significant professional experience in embedded firmware development, with a deep understanding of PCIe.

A strong foundation in computer architecture, operating systems, and object-oriented programming.

Proficiency in scripting languages like Python to automate tasks and workflows.

An innovative approach with a genuine desire to apply AI and machine learning to accelerate firmware development.

Ways to Stand Out from the Crowd:
Track record of applying AI-powered tools like Cursor to accelerate the development lifecycle.

Previous experience in a customer-facing or application engineering role.

Direct, hands-on experience with PCIe switch architecture and its firmware in high-performance applications.

Deep knowledge of hardware verification concepts and tools (e.g., C++, Python, Jenkins).

Extensive knowledge of networking protocols and the Linux operating system.
This position is open to all candidates.
 
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לפני 15 שעות
Location: Yokne`am
Job Type: Full Time
We are looking for a Senior networking test engineer with strong system‑level debugging skills to join our End‑to‑End Verification team. You will work on cutting‑edge Ethernet‑based AI clusters, owning complex issues across hardware, system software and AI workloads. We are widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

What youll be doing:

Design and review test and product requirements across the Ethernet / NIC / DPU / Switch portfolio, focusing on large‑scale AI cluster behavior.

Build and maintain realistic customer‑like testbeds, including heterogeneous hardware, OS / driver combinations and complex network fabrics.

Own end‑to‑end cluster troubleshooting: reproduce customer scenarios, triage across the stack and drive issues to root cause and fix.

Read and understand relevant source code to identify defects, validate fixes and improve logging and instrumentation.

Collaborate closely with development teams to debug NCCL, RoCE/RDMA and related networking components using logs, code inspection and targeted experiments.

Define tests and guide the automation team to implement robust suites that produce actionable logs, metrics and traces.

Run Regression, Performance, Functional and Scale testing, analyze results and provide clear, data‑driven reports to stakeholders.

Profile and benchmark deep learning training and inference workloads, correlating model‑level metrics with system and network telemetry to uncover bottlenecks.
Requirements:
What we need to see:

B.A./B.Sc. in Computer Science, Electrical Engineering, or equivalent IT/Network/Systems experience.

5+ years of hands‑on networking or system‑level testing and debugging on Linux.

Strong Linux networking and debugging skills (for example perf, tcpdump, ethtool, iproute2).

Proven production‑grade debugging experience: forming hypotheses, running experiments, and driving issues to root cause under pressure.

Expertise in host‑side NIC validation and tuning (offloads, queues, interrupts, firmware/driver interactions).

Strong knowledge of AI networking libraries (such as NCCL) and protocols (such as RoCE and RDMA), including performance and correctness debugging.

Ability to read and reason about source code (C/C++/Python or similar) and collaborate closely with developers on fixes.

Solid scripting and automation skills with Bash / Python / Ansible for setup, log collection, and experiment orchestration.

Fast learner, familiar with modern AI tools and workflows, able to adapt quickly.

Excellent analytical, problem‑solving and communication skills, with strong ownership and a collaborative mindset.

Ways to stand out from the crowd:

Hands‑on debugging of collective communication libraries (for example NCCL) or large‑scale LLM training / inference clusters.

Experience with large cluster environments (tens to thousands of GPUs or nodes), including incident response and post‑mortem analysis.

Deep expertise in tuning and debugging congestion control and lossless Ethernet for AI workloads (for example DCQCN, ECN, PFC).

Familiarity with NVIDIA networking technologies (for example BlueField / BF3, ConnectX NICs) and their software stack and diagnostics.

Experience debugging issues that span multiple layers (L2/L3, transport, AI frameworks) or contributing to open‑source networking / AI systems.
This position is open to all candidates.
 
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18/01/2026
חברה חסויה
Location: Yokne`am
Job Type: Full Time
We are seeking a highly motivated and experienced System Test Architect to define, develop, and drive comprehensive validation strategies for next-generation hardware platforms. As a key member of our hardware architecture and systems engineering team, you will be responsible for ensuring the robustness, performance, and scalability of our cutting-edge products across AI, graphics, data center, and automotive domains. You will collaborate with cross-functional teams-including silicon design, board design, firmware, and software engineering-to create innovative test methodologies that validate complex system-level interactions. Your insights and expertise will directly impact product quality, development efficiency, and time-to-market.

What you will be doing:

Architect end-to-end system validation strategies for new hardware platforms.

Define test coverage and validation methodologies.

Collaborate with hardware, software, Qual and QA teams to align on product requirements and test coverage plans.

Lead development of automation frameworks and diagnostics tools to enable scalable and repeatable testing.

Analyze test data to identify root causes, guide debug efforts, and improve validation coverage.

Provide technical leadership and mentorship across multidisciplinary teams and represent system test considerations in architecture and design reviews.
Requirements:
What we need to see:

Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or a related field.

8+ years of experience in hardware/system test engineering, preferably in the semiconductor, computing, or high-performance systems industries.

Deep understanding of system architecture, including CPUs, GPUs, memory subsystems, I/O, and power delivery.

Proven experience developing and executing validation plans for complex hardware systems.

Strong debugging skills and experience with hardware test equipment (oscilloscopes, logic analyzers, etc.).

Familiarity with firmware, BIOS, and low-level software stack interactions.

Proficient in scripting and automation (Python, Perl, Bash, etc.).

Ways to stand out from the crowd:

Excellent communication, collaboration, and leadership skills.

Experience working in cross-functional environments and managing validation efforts across global teams.
This position is open to all candidates.
 
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13/01/2026
Location: Yokne`am
Job Type: Full Time
We are looking for an excellent System Eng. First line manager to join our group in Yokneam.

As the team manager, you will be leading a development team responsible for the System bring up of the Next-generation networking products. The team focus is on Firmware validation tests for advanced cutting-edge NVIDIA networking and AI platforms and silicon. We drive the data growth of the worlds biggest companies, Working with talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.


What you will be doing:

Lead a team of engineers and provide technical guidance and career mentorship to the team of highly skilled engineers. Empower the team members to excel and increase team productivity.

Define and implement new product integration and validation in the core of our HCA and DPU products.

Drive and facilitate the planning, scheduling, and execution of the project and activities of the team.

Collaborate with architecture, product and different software design teams as part of the software development lifecycle.

Work in pre and post-silicon activities of our next-generation networking products.

Gain a deep understanding of networking technology, system debugging, as well as the HW/FW/SW relationship.
Requirements:
What we need to see:

B.Sc. in Computer Science/ Computer Engineering / Electrical Engineering

2+ years of managerial experience.

6+ overall years of relevant firmware development or System validation experience.

Strong system-level understanding and hands-on lab experience

Programming skills in Python.

Strong analytical, creative, debugging, and problem-solving skills.

Detail-oriented and comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements.

Excellent interpersonal and intercultural skills, including written and verbal communication in English


Ways to stand out from the crowd:

Knowledge in SW-HW interfaces, PCIe, memory subsystems, storage components, network applications, device drivers and real-time software

Programming knowledge in Python/C/C++

Deep understanding of computing architectures, hardware systems block diagrams and schematic sheets understanding

Previous roles in system validation positions, technical lead or silicon bring up leader.
This position is open to all candidates.
 
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3 ימים
חברה חסויה
Location: Yokne`am
Job Type: Full Time
We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on NVIDIA AI End-to-End solutions in a large scale supercomputing clusters. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, with researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Profiling, benchmarking, and analyzing deep learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

Collaborating closely with data scientists, researchers, development, automation teams to design and implement scalable training pipelines and frameworks that demonstrate large scale high -performance networking capabilities.

Staying up-to-date with the latest advancements in deep learning algorithms, architectures, NVIDIA GPU technologies, and high-performance networking solutions.

Optimizing deep learning models for performance, memory usage, and power efficiency while maximizing high-performance networking features on NVIDIA supercomputers.

Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

Collaborating with hardware engineers to guide the development and integration of efficient networking solutions for deep learning, including exploring network architecture optimizations and bringing to bear technologies such as RDMA or InfiniBand.
Requirements:
What we need to see:

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

Strong understanding and practical experience with machine learning algorithms and techniques, with a specialization in deep learning and expertise in high-performance networking

8+ years of overall experience, with CUDA programming for deep learning frameworks like TensorFlow, PyTorch, combined with expertise in networking libraries and protocols

Ability to profile and optimize deep learning workflows, focusing on networking-related bottlenecks and optimizations, to improve overall performance and efficiency

Exceptional analytical and problem-solving skill, with a keen attention to detail, particularly in identifying and resolving networking performance issues

Excellent communication and collaboration skills, enabling effective teamwork and cooperation.

Familiarity with supercomputers, parallel computing, distributed systems, and high- performance networking technologies like RDMA or InfiniBand.

Ways to stand out from the crowd:

Demonstrated experience in successfully profiling and optimizing large-scale deep learning training on our supercomputers, with a significant focus on high-performance networking enhancements.

Experience with distributed deep learning, distributed training frameworks, or large-scale data pipelines enhanced by high-performance networking solutions.

Expertise in optimizing networking parameters, such as bandwidth, latency, or congestion control, for deep learning workloads.

Familiarity with NVIDIA's networking technologies, such as Mellanox InfiniBand, and their integration with deep learning workflows.

Strong understanding of high-performance networking protocols and standards and their application to deep learning.
This position is open to all candidates.
 
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3 ימים
חברה חסויה
Location: Yokne`am
Job Type: Full Time
Our Networking System Product Engineering group is looking for an excellent Software Engineer. The position requires an understanding of HW and SW to provide stable, efficient, smoothly running production tests, to enable high availability, while ensuring the quality of the products being shipped to customers. You will lead the development of our products and raise the bar of the software development quality in the group. We have crafted a team of extraordinary people, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.

What youll be doing: 

Design and develop automated tests for networking Switches and Adapters while working closely with the HW, ASIC, and SW Engineering teams to achieve a reliable test with high coverage.

Exposed to various aspects of design, DFT, and test of our next-generation network products.

Take a significant part in the definition and development of tests from the development level to the final test of Network-Systems.

Utilize test suites to find, debug and resolve problems with production process.

Ability to drive projects to full execution in time and working under pressure of schedule and multi project environment.

Supporting and fixing bugs of existing code. Supporting production lines for: deployments, patches, maintenance.

Test Verification and Validation (both HW and SW). Troubleshooting and streamlining/optimizing our testing procedures.
Requirements:
What we need to see: 

BSc/MSc or equivalent engineering degree in Computer Science, Electrical Engineering, or a related field

3+ years of related experience in software development and design 

3+ years of proven experience in Python or similar platform

Excellent knowledge of a version control system (preferably GIT)  

Linux based development

Experience with Software/Hardware products integration

Excellent communication skills with hands-on experience collaborating with global teams

Strong teamwork skills, with the ability to collaborate effectively across cross-functional teams

Ways to stand out from the crowd: 

Familiarity with product manufacturing flows and processes

A highly motivated teammate who always stays up to date with new technologies and test methodologies

Exposure and knowledge around application development, configuration management and automation

Experience in tools/services development. Creativity - find solutions for challenging requirements

Strong leadership skills to drive a project from definition through mass production.
This position is open to all candidates.
 
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3 ימים
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We seek a highly motivated Network Performance Exploration Engineer to join our team of experts and help shape the foundational infrastructure for the AI revolution. Our next-generation networking systems are at the forefront of connecting and powering the world's most advanced AI clusters. As a key member of our architecture team, you will be responsible for exploring and identifying critical network optimization opportunities across our entire hardware and software stack, analyzing how system-level changes impact application-level performance.

What Youll Be Doing:

Explore and validate end-to-end application performance, defining comprehensive test plans and critical metrics to identify optimization opportunities in both hardware and software.

Establish and maintain a comprehensive database of benchmark results, tracking performance across releases to drive data-informed decisions.

Conduct deep-dive analysis into communication libraries (like NCCL), system software, and hardware configurations to investigate performance characteristics, validate architectural theories, and identify bottlenecks.

Provide critical performance data to correlate and enhance simulation tools, ensuring our models accurately predict real-world hardware behavior.

Analyze application-level traffic patterns (e.g., LLMs) on our advanced networking fabrics to identify hardware and software optimization opportunities and tune system parameters.

Lead Proof-of-Concept (POC) projects to prototype and evaluate potential hardware and software optimizations and their impact on application performance.
Requirements:
What We Need To See:

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

5+ years of relevant industry or research experience in high-performance computing, computer architecture, or computer networks.

Hands-on programming skills in Python and/or C/C++ for system analysis, automation, and customizing benchmarks.

Excellent understanding of large-scale system behavior and the effect of distributed computing workloads on network and system performance.

Proven experience in performance analysis, benchmarking, and identifying system bottlenecks.

Exceptional analytical, problem-solving, and systems-thinking skills, with the ability to dive deep into complex software and hardware interactions.

Ability to thrive in a a fast-paced, dynamic environment and work concurrently with multiple cross-functional teams.

Ways To Stand Out From The Crowd:

Deep understanding of and hands-on experience with communication libraries such as NCCL, UCX, or MPI.

Direct experience debugging or modifying the source code of a major communication library.

Expertise in the architecture and system-level requirements of large-scale, distributed Deep Learning workloads (e.g., LLMs).

Expertise in high-performance network protocols (Ethernet, InfiniBand, RoCE) and interconnect technologies like NVLink.

Familiarity with the PyTorch ecosystem, especially for distributed workloads.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8536022
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