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04/08/2026
Location: Yokne`am and Tel Aviv-Yafo
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 our future 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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09/08/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for next-generation our data centers and solutions based on GPU systems, NIC, Switch, DPU and Networking technologies. The ideal candidate will oversee, evaluating, and optimizing end-to-end AI GPU cluster-level performance for scaling out large scale distributed training and inference jobs communication. The role will focus heavily on RDMA, Networking Protocols, Collective Communication, Congestion Control, and Load Balancing algorithms. Secondarily, you will lead our DPUs and Storage technologies for N-S use cases to support AI Inference jobs. Third, you will drive our Performance Dashboards and Observability for cluster-level performance analysis from a stream line telemetry across NICs, Switches, GPUs, and NVlink.

What you'll be doing:

Drive end-to-end performance strategy, characterization, test plans, and optimization for next-generation our AI GPU clusters, focusing on large-scale distributed training and inference workloads.

Deeply evaluate and optimize our Networking core technologies performance, including RDMA/PRDMA, networking protocols, collective communication (NCCL), congestion control, and load-balancing algorithms.

Work on performance research and analysis of NVIDIA DPUs and storage technologies in North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs.

Drive the strategy for performance observability and dashboards across next-generation NVIDIA data center solutions and supercomputers by leveraging scalable, streamlined telemetry pipelines to build performance dashboards and automated analytics based on real-time performance metrics across NICs, Switches, GPUs, and NVLink boundaries.

Perform deep root-cause analysis (RCA) on complex multi-node performance bottlenecks, driving actionable mitigation plans across hardware, firmware, and software teams.
Requirements:
What we need to see:

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

8+ overall years of experience and deep expertise in High Performance Networking, RDMA, and Systems level performance.

3+ years of experience as an engineering team manager leading technical performance or R&D teams.

Hands-on experience analyzing and optimizing collective communication (e.g., NCCL, MPI) and network traffic patterns for large-scale distributed AI workloads (LLM training and inference).

Hands-on experience designing, deploying, and customizing Grafana dashboards for cluster monitoring, alerting, and data visualization.

Exceptional cross-team leadership, analytical thinking, and communication skills to drive alignment across hardware, software, and architecture groups.


Ways to stand out from the crowd:

Proven track record of optimizing NCCL, RDMA/RoCEv2, and custom collective algorithms specifically tailored for multi-thousand GPU deployments running LLMs or Mixture-of-Experts (MoE) architectures.

Deep experience tuning advanced network traffic mechanisms such as adaptive routing, PFC/ECN congestion control, and packet-spraying technologies.

Experience building autonomous performance-driven tools, AI-assisted root cause analysis agents, or automated regression frameworks for continuous cluster-level performance evaluation.

Hands-on experience developing custom Grafana plugins, complex dashboard panels, or integrated alert management workflows using PromQL/LogQL for hyperscale or HPC environments.
This position is open to all candidates.
 
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05/08/2026
חברה חסויה
Location: Yokne`am
Job Type: Full Time
We are seeking a highly skilled Senior Performance Engineer to join our Performance and R&D organizations. In this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and high-performance computing environments. You will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems. This is a fast-paced R&D environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.

What youll be doing:

Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters.

Explore performance characteristics of high-performance networking and collective communications (e.g., NCCL, RDMA, MPI, RoCE).

Identify performance bottlenecks across networking, compute, memory, and system architecture.

Develop and enhance performance analysis, benchmarking, and diagnostic tools.

Define performance test plans and establish expectations for new technologies and platforms.

Collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights.

Support telemetry collection and data refinement efforts to enable accurate performance analysis.

Maintain high standards for data quality, reproducibility, and traceability of performance results.
Requirements:
What we need to see:

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

5+ years of experience in performance analysis, systems engineering, or HPC/AI infrastructure.

Demonstrated expertise in performance analysis skills and methodologies.

Hands-on experience with high-performance networking (RDMA, MPI, NCCL, congestion control).

Strong understanding of system performance metrics (latency, throughput, resource utilization).

Exposure to hardware, firmware, or embedded telemetry environments.

Strong analytical, problem-solving, and communication skills.

Ability to work effectively in cross-functional, fast-paced R&D teams.


Ways to stand out from the crowd:

Knowledge of CUDA, NCCL internals, and congestion control algorithms.

Deep system-level understanding of CPU architectures, GPUs, HCAs, memory, and PCIe.

Experience with NVIDIA GPUs, CUDA, and deep learning frameworks such as PyTorch or TensorFlow.

Experience with cloud platforms.

Proficiency in Python; experience with Bash and C/C++ is a plus as well as a strong experience working in Linux environments.
This position is open to all candidates.
 
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04/08/2026
חברה חסויה
Job Type: Full Time
We are seeking a Director of Software Architecture to lead and accelerate the evolution of next-generation AI data center and networking technologies. This role is designed for a hands-on, execution-driven leader who pushes boundaries, translates vision into reality, and delivers high-impact solutions at scale. You will operate at the intersection of innovation, architecture, and delivery-shaping the future of AI networking and infrastructure.

What you will be doing:
Drive identification, evaluation, and rapid adoption of emerging technologies, ensuring strong alignment with strategic roadmap and measurable business outcomes.
Lead the design and delivery of advanced networking applications, leveraging data plane programming and modern networking protocols to solve complex, large-scale challenges.
Architect solutions across AI data center environments, integrating GPU-based systems, hardware acceleration, and high-performance networking.
Act as a thought leader and industry influencer-engaging directly with customers, publishing technical content, and representing us at key conferences and forums.
Define and execute a bold architectural vision for our networking in close collaboration with cross-functional software and hardware leaders.
Requirements:
What we need to see:
M.Sc. or PhD. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
12+ years of deep experience in software architecture, systems design, and applied research.
8+ years of proven leadership, building and driving high-performing engineering teams in fast-paced environments.
Strong expertise in AI inference technologies, frameworks, and large-scale distributed systems.
Hands-on experience with networking protocols (e.g., TCP/IP, RDMA, RoCE, InfiniBand) and data center networking architectures.
Deep familiarity with AI DC architectures, hardware acceleration technologies, and SDKs (e.g., DOCA, CUDA or similar).
Experience with AI data center design, including compute, networking, and AI storage systems.
Exceptional communication and influence skills, with a demonstrated ability to align stakeholders and drive decisions across complex organizations.

Ways to stand out from the crowd:
A track record of aggressively prototyping, validating, and scaling new ideas into production.
Strong foundations in system software, including operating systems and low-level architecture.
Experience with hyperscale cloud and AI data center environments.
Expertise in AI storage systems, high-performance computing (HPC), and end-to-end accelerated infrastructure.
This position is open to all candidates.
 
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09/08/2026
חברה חסויה
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are looking for an outstanding engineer to join our software architecture group and help shape the next generation of our networking products, SmartNICs, and DPUs. In this role, you will work closely with system architects, software/firmware engineers, hardware designers and product stakeholders to define component-level and system-level solutions for advanced datacenter platforms.

You will join a team working at the intersection of AI networking, virtualization, operating systems, security, management, and programmable acceleration. Our mission is to push the boundaries of modern datacenter infrastructure and help define the platforms of tomorrow.

What Youll Be Doing:

Work with architects and engineers to define software architecture for our networking devices, SmartNICs, and DPUs.

Analyze system requirements across networking protocols, virtualization, operating systems, security, management, and services.

Research new ideas, evaluate design alternatives, and build proof-of-concept models, simulations, and prototypes.

Collaborate with software, firmware, and hardware teams on HW/SW co-design, performance, scale, and resource-utilization challenges.

Learn complex datacenter technologies and turn them into clear architecture proposals, design documents, and technical presentations.
Requirements:
What We Need To See:

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

1+ years of relevant experience

Proven strong programming skills, in C/C++, preferably for large and complex embedded systems.

Solid understanding of operating systems, multi-threading, computer architecture, and software fundamentals.

Curiosity and ability to learn new technologies quickly, investigate deeply, and work through ambiguous problems.

Independent problem solver who also works well in a team environment.

Clear written and verbal communication skills.


Ways To Stand Out From The Crowd:

Knowledge of networking protocols such as Ethernet, InfiniBand, RDMA, RoCE, TCP/IP, or congestion control.

Experience with Linux, Linux kernel, device drivers, embedded systems, or system software.

Experience building simulations, performance models, prototypes, or proof-of-concept software.

Exposure to virtualization, security, programmable acceleration, SmartNICs, DPUs, or DOCA.

Open-source contribution, previous internship experience, or hands-on project work in relevant technical domains.
This position is open to all candidates.
 
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09/08/2026
Job Type: Full Time
We are looking for an outstanding Senior Networking Software Architect to join the NIC/DPU Software and Firmware Architecture group. In this role, you will help define the next generation of our datacenter and AI networking platforms, with focus on DPU management, QoS, performance, telemetry, and software architecture across stacks. You will work closely with hardware designers, firmware/kernel driver teams, system engineers, validation, product management and customers. The role spans early architecture definition, pre-silicon design, bring-up, and production readiness for large-scale AI and cloud datacenter deployments.

What Youll Be Doing:

Own software and system architecture for next-generation DPU management, QoS, performance, telemetry, and observability features.

Define end-to-end control and management flows across DOCA, host drivers, embedded firmware, BMC, management controllers and external management systems.

Specify telemetry and observability requirements, including counters, logs, traces, events, health monitoring, debug data, and streaming telemetry.

Define management interfaces and APIs for configuration, provisioning, lifecycle operations, diagnostics, and field serviceability.

Write clear architecture specifications, interface definitions, flow diagrams, and design documents for software, firmware, and system teams.

Partner with R&D teams to translate high-level architecture into implementable designs and guide features through development, validation, silicon bring-up, and production.

Analyze system performance bottlenecks, interoperability issues, telemetry gaps, and customer-reported issues, then feed learnings into future architecture.

Collaborate with system and cluster architects to ensure NIC/DPU features fit end-to-end AI datacenter and cloud networking designs.
Requirements:
What We Need To See:

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

9+ years of experience in networking, system software, embedded software, firmware, or datacenter infrastructure.

Proven experience in software architecture, or technical leadership roles.

Deep understanding of networking concepts and protocols such as Ethernet, TCP/IP, RDMA/RoCE, congestion control, QoS, virtualization overlays, and traffic management.

Strong background with DPUs, SmartNICs, or other high-performance networking devices.

Experience with system management, provisioning, monitoring, telemetry, diagnostics, or lifecycle-management flows.

Familiarity with management protocols and frameworks such as Redfish, PLDM, MCTP, IPMI, gNMI, SNMP, Netconf, REST, or gRPC-based APIs.

Ability to lead cross-functional architecture discussions across software, firmware, hardware, validation, product, and customer-facing teams.

Excellent written and verbal communication skills, including the ability to create clear architecture documents and present trade-offs.


Ways To Stand Out From The Crowd:

Experience defining software architecture for DPU products, including management, telemetry, QoS, performance, security, virtualization, or offload features.

Hands-on background with Linux networking, device drivers, firmware, embedded Linux, BMC software, DOCA, DPDK, OVS or Kubernetes networking.

Experience with performance counters, profiling tools, eBPF, Prometheus, Grafana, dashboards, heat maps, or large-scale telemetry systems.

Experience in defining and developing GAI-based analysis tools to extract insights from telemetry data and streams.

Background in RAS, diagnosability, serviceability, field failure analysis, production debug, or customer escalation handling.
This position is open to all candidates.
 
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04/08/2026
Location: Yokne`am
Job Type: Full Time
We are looking for a Host and Systems Performance Manager to join ur Networking Performance team!

In this role, you will lead a team of engineers who measure, analyze, and improve NIC, host, DOCA networking stack, and system-level performance across our networking products and platforms. We work across the full product lifecycle, from early architecture and pre-silicon modeling through post-silicon bring-up, validation, characterization, and GA readiness.

We are looking for someone who enjoys building teams, turning complex performance data into clear direction, and partnering across engineering groups to improve products that support AI, HPC, cloud, and accelerated networking workloads.

What Youll Be Doing:
Lead, coach, and develop a team focused on NIC, host, DOCA networking stack, and system-level performance. You will define performance test plans, methodologies, metrics, and success criteria for our new networking technologies.
Guide pre-silicon and post-silicon performance planning, analysis, reporting, and readiness reviews. Your team will benchmark and profile workloads across RDMA, RoCE, InfiniBand, Ethernet, MPI, NCCL, DOCA, storage, security, and host networking stacks.
Identify bottlenecks across NIC, DPU, CPU, memory, PCIe, firmware, drivers, Linux networking, DOCA, and full-system architecture. We will look to you to lead root-cause analysis, coordinate mitigation plans, and help hardware, firmware, software, architecture, validation, and product teams align on performance goals.
Requirements:
What We Need To See:
B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
Experience in performance analysis, systems engineering, networking, or HPC/AI infrastructure.
10+ years of software engineering experience, including 4+ years in a leadership or management role.
Experience with high-performance networking technologies such as RDMA, RoCE, InfiniBand, Ethernet, MPI or NCCL.
Hands-on experience with system performance analysis, benchmarking, profiling, and root-cause analysis.
Understanding of host architecture, including CPUs, memory hierarchy, NUMA, PCIe, Linux OS, drivers, firmware, and DPU/NIC interactions.
Experience creating performance test plans for pre-silicon or post-silicon phases.
Programming or scripting experience with Python and Bash; C/C++ experience is helpful.
Ability to communicate technical findings clearly and work across engineering teams.

Ways To Stand Out from the Crowd
Experience with NICs or DPU architecture, networking offloads, host datapath behavior, networking services, or DPU offloads.
Experience with AI/HPC cluster performance, distributed training, inference workloads, collective communication libraries, telemetry pipelines, benchmark automation, CUDA, NCCL internals.
Linux kernel networking, DPDK, OVS, storage acceleration, or security offloads can also help you succeed in this role.
This position is open to all candidates.
 
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04/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Network Solution Verification Manager to join our R&D organization, leading the validation of our customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment.

In this role, you will build and lead a team of validation engineers, owning the strategy, methodology, and execution of simulation-based validation frameworks that ensure our networking solutions meet the highest standards of quality, scale, and real-world applicability before reaching customers.


What you'll be doing:
Leading and managing a team of network validation engineers responsible for end-to-end validation of our customer-facing networking solutions at scale, using a dedicated E2E simulation cluster environment.
Defining the overall validation strategy and roadmap - establishing simulation methodologies, test coverage frameworks, and quality gates that align with product milestones and customer use cases.
Pioneering the use of agentic AI flows within the validation organization - leading the team to design, build, and operate AI-driven agents capable of autonomously performing regression analysis, identifying coverage gaps, generating new test cases, and implementing validation code. These agentic workflows will continuously learn from simulation results and product changes, dramatically accelerating the team's ability to scale test coverage and respond to emerging quality signals without manual intervention.
Overseeing the design and continuous improvement of automated regression suites for networking protocols and large-scale simulation runs, ensuring scalable, repeatable, and high-confidence validation outcomes.
Establishing a rigorous regression analysis culture - guiding the team in identifying trends, root causes, and systemic coverage gaps, and ensuring timely resolution in collaboration with engineering stakeholders.
Serving as the primary validation partner to Design, Architecture, and NCS teams - translating solution requirements into simulation scenarios, providing early-cycle quality feedback, and influencing product direction.
Analyzing customer-reported networking solution issues, driving test gap analysis, and ensuring robust regression coverage that prevents recurrence.
Staying current with emerging networking standards, simulation technologies, and industry best practices to continuously evolve the team's validation capabilities.
דרישות:
What we need to see:
B.Sc. degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
3+ years of experience in a leadership or management role, leading software or hardware validation/test engineering teams.
7+ years of overall experience in network validation, network testing, or systems verification.
Proven track record of building and executing test automation strategies for network or distributed systems at scale, with hands-on background in Python-based automation.
Strong understanding of regression analysis methodologies - ability to drive actionable conclusions from large-scale test result datasets and translate them into engineering improvements.
Demonstrated ability to collaborate cross-functionally with architecture, design, and product teams in a fast-paced, multi-timezone environment.
Strong verbal and written communication skills, with experience presenting validation strategies and quality metrics to senior leadership.


Ways to stand out from the crowd:
Deep understanding of networking protocols and architectures (e.g., BGP, EVPN, VXLAN, RDMA/RoCE, Ethernet, IP routing, L2/L3 switching).
Experience with network simulation or emulation environments (e.g., Containerlab, GNS3, SONiC testbeds, or equivalent platforms) and the ability to guide teams in leveraging them effectively.
Experience managing validation of data center networking solutions or hyperscale network environments (spine-leaf, fat-tree, or Clos top#EN המשרה מיועדת לנשים ולגברים כאחד.
 
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09/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were currently seeking a Senior Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like us? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.

Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.

Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools for our teams.
Requirements:
What we need to see:

An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).

You have 8+ years of relevant experience in software development or research work.

Programming fluency in C/C++ with a deep understanding of algorithms and software development.

A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.

Hands on experience doing low-level performance optimizations.

In-depth expertise with CPU and GPU architecture fundamentals.

Effective communication and organization skills, with a logical approach to problem solving, good time management, and prioritization skills.


Ways to stand out from the crowd:

Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.

Excellent understanding of linear algebra.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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06/08/2026
Location: More than one
Job Type: Full Time
We are seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using our Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed.

What youll be doing:

Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.

Analyze and optimize communication flows across application, transport, and network layers.

Develop system software spanning communication libraries, drivers, and firmware integrations.

Collaborate with hardware, firmware, and SDK teams to co-design network features.

Validate and integrate prototypes into our AI infrastructure and products.
Requirements:
What we need to see:

BSc/MSc/PhD in Computer Science or Electrical Engineering.

5+ years of relevant experience and/or knowledge.

Deep understanding of networking and communication internals - NCCL, RDMA/RoCE, congestion control.

Hands-on experience with HW/SW/FW integration and low-level programming (C/C++, kernel, drivers).

Some background in distributed training systems (such as PyTorch DDP, Megatron-LM, DeepSpeed).


Ways to stand out from the crowd:

Demonstrated innovation and leadership turning prototypes into impactful product features.

Experience with programmable data planes (P4, eBPF, DOCA SDK, or switch SDKs).

Familiarity with NIC firmware scheduling, in-network compute, or congestion management.

Contributions to open-source projects, academic papers, or performance benchmarking tools.

Strong background in AI factory architectures, distributed inference, or network telemetry.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Staff Systems Software Engineer to design and build the foundational infrastructure that powers products used by billions of people worldwide. In this role, you will architect and implement large-scale distributed systems, low-level platform components, and high-performance services that underpin our core product stack. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product, infrastructure, and data engineering teams to deliver systems that operate at global scale with high availability and efficiency.
Software Engineer, Systems Responsibilities
Architect and implement large-scale distributed systems and platform services that support high-throughput, low-latency workloads across our product infrastructure
Lead the technical design of systems components including storage layers, compute pipelines, networking abstractions, and service orchestration frameworks
Identify and resolve systemic performance bottlenecks through instrumentation, profiling, and targeted optimization across the full systems stack
Define and enforce service level objectives for owned systems, building dashboards, alerting pipelines, and runbooks to reduce mean time to mitigation during incidents
Drive reliability improvements by reducing failure surface, designing resilient rollout strategies, and leading regular resiliency and overload testing exercises
Collaborate with cross-functional partners across product engineering, infrastructure, and data science to align system architecture with evolving product and business requirements
Establish and evolve coding standards, architectural patterns, and engineering best practices for systems development across the broader organization
Leverage AI-assisted development workflows to accelerate design iteration, code generation, and systems analysis, applying sound judgment on when to rely on AI versus deep systems expertise
Mentor other engineers on systems design principles, debugging methodologies, and production operations, and contribute to onboarding programs for new team members
Lead incident retrospectives, identify root causes of complex production failures, and drive implementation of systemic improvements to prevent recurrence
Requirements:
Minimum Qualifications
8+ years of experience designing and implementing large-scale distributed systems, platform infrastructure, or systems software in production environments
Experience leading major technical initiatives end-to-end, including architecture design, cross-team coordination, staged rollout, and post-launch reliability ownership
Experience debugging complex, non-reproducible systems issues including concurrency bugs, memory management failures, and distributed consistency problems
Experience defining service level objectives, building observability infrastructure, and driving reliability improvements across production systems
Experience communicating technical architecture decisions and trade-offs in writing to both engineering and non-engineering stakeholders
Preferred Qualifications
Experience with systems programming languages such as C, C++, or Rust in the context of high-performance or low-latency infrastructure
Experience building or improving developer tooling, automation frameworks, or internal platforms that measurably improve engineering efficiency across teams
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
This position is open to all candidates.
 
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