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לפני 58 דקות
Location: More than one
Job Type: Full Time
We are looking for a Technical Support Engineer dedicated to supporting Slurm for our customers. You will join a dedicated team of Slurm subject-matter guides, owning sophisticated support cases and helping customers run reliable, efficient, and highly scalable clusters. This role requires extensive production experience with Slurm and the ability to diagnose issues across the scheduler and the surrounding Linux, networking, storage, authentication, database, and GPU infrastructure.

What you'll be doing:

Own Slurm support cases from initial investigation through resolution for customers running production AI and HPC clusters.

Diagnose complex problems involving slurmctld, slurmd, slurmdbd, job scheduling, node management, resource allocation, accounting, authentication, and high availability.

Solve Slurm configuration and policy features, including partitions, reservations, priorities, fair-share, quality of service, backfill, preemption, GRES/TRES, cgroups, and job constraints.

Investigate performance, reliability, and scalability issues using logs, diagnostic data, configuration analysis, reproductions, and source-level debugging when required.

Isolate problems across Slurm and its surrounding dependencies, including Linux, MUNGE, databases, networking, parallel storage, containers, GPUs, and cluster-management systems.

Advise customers on Slurm configuration, upgrades, operational practices, managing system resources, and safe recovery from production incidents.

collaborate with engineering teams by producing clear technical descriptions, reproducible test cases, and well-supported defect reports.

Develop guides, knowledge-base articles, diagnostic tools, and internal training that strengthen Slurm expertise across the support organization.
Requirements:
What we need to see:

BS.c degree in Computer Science, Engineering, or a related field, or equivalent experience.

5+ years of hands-on experience administering and supporting Slurm in production HPC or AI environments including business-critical outage incidents.

Expert-level understanding of Slurm architecture, daemons, configuration, scheduling behavior, accounting, resource management, and failure modes.

Capacity to identify sophisticated Slurm incidents independently and guide them to a technically sound resolution.

In-depth Linux system-administration and solve experience, including systemd, cgroups, authentication, networking, and database-backed services.

Experience operating Slurm across multi-user clusters with complex scheduling policies and heterogeneous compute resources.

Strong analytical and research skills, showing proficiency in distinguishing Slurm defects from configuration, integration, infrastructure, and workload problems.

Excellent written and verbal communication skills, including the ability to turn detailed technical findings into clear explanations and actionable recommendations.


Ways to stand out from the crowd:

Experience supporting large-scale Slurm environments containing thousands of nodes or GPUs.

Experience diagnosing scheduler performance, job-throughput, controller-load, and database-scaling issues.

Familiarity with Slurm source code, plugins, SPANK, Lua job-submit plugins, or upstream issue investigation.

Experience with containers and HPC integration technologies such as Pyxis, Enroot, Apptainer, or Singularity.

Previous experience integrating Slurm with NVIDIA Base Command Manager, Bright Cluster Manager, or another cluster-management platform.
This position is open to all candidates.
 
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לפני 2 דקות
Location: Yokne`am
Job Type: Full Time
We are looking for an outstanding Manager, Infrastructure Engineering - Networking to lead a high-impact infrastructure engineering team. The team develops and maintains engineering infrastructure solutions that enable R&D teams to provision, validate, test, debug, and recover complex server and networking environments at scale.

In this role, you will lead a team that provides infrastructure platforms and hands-on engineering support for internal customers across firmware, driver, hardware, software, and verification organizations. The position combines deep technical leadership with people management, execution ownership, customer support, and operational excellence in a fast-paced R&D environment. We are looking for a strong technical manager who can grow and mentor engineers, set technical direction, drive recovery of complex systems, optimize customer flows, and deliver reliable infrastructure capabilities in our scale.

What youll be doing:

Lead and grow an infrastructure engineering team responsible for bare-metal provisioning, VM infrastructure, server fleet automation, CI/CD infrastructure, customer-facing debug support, and high-performance networking environments.

Own the teams technical roadmap, priorities, execution plans, and delivery commitments across multiple infrastructure initiatives, while balancing long-term platform improvements with day-to-day customer needs.

Drive ownership of VM box inventory and lifecycle management across many Linux distributions, including image readiness, OS compatibility, package baselines, kernel configurations, provisioning flows, and production availability.

Build infrastructure capabilities that enable engineering and verification teams to run provisioning, testing, validation, and debug workflows efficiently and reliably, without positioning the team as the owner of verification itself.

Lead customer support, debug, and optimization of internal customer flows, including triage, root-cause analysis, bottleneck removal, workflow improvements, and clear communication with engineering stakeholders.

Guide complex system debug and recovery in a firmware R&D environment, including server bring-up issues, driver and firmware interactions, boot failures, networking problems, lab instability, automation failures, and environment recovery.

Provide technical leadership for Linux-based automation platforms, including server lifecycle management, OS installation, kernel configuration, driver setup, inventory management, resource allocation, observability, and production readiness.

Partner closely with firmware, driver, hardware, software, cloud, and verification teams to define requirements, improve reliability, and deliver infrastructure solutions that accelerate engineering productivity.
Requirements:
What we need to see:

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

8+ overall years of experience in Linux systems administration, infrastructure automation, DevOps, system software, firmware infrastructure, lab infrastructure, or related engineering domains.

3+ years of experience leading or managing engineering teams, technical projects, or cross-functional infrastructure initiatives.

Strong technical background in Linux environments, including systemd, package management, kernel parameters, GRUB, sysctl tuning, NFS, networking, boot flows, and service management.

Hands-on experience designing, implementing, and debugging automation software using Python, scripting, CI/CD workflows, and modern software development practices.

Experience managing infrastructure across multiple Linux distributions, including OS image management, compatibility issues, provisioning flows, package dependencies, and environment consistency.
This position is open to all candidates.
 
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Location: Yokne`am
Job Type: Full Time
We are looking for a Technical Lead to join our Network System Validation group and lead the validation of advanced networking solutions across complex AI cluster environments. This is a deeply hands-on technical leadership role, combining ownership of the validation roadmap with technical mentoring and engineering excellence. You will develop validation methodologies and automation frameworks, while working hands-on on debugging, performance analysis, and cutting-edge AI networking technologies at scale. Join us to help push our networking technologies to their limits and shape how next-generation AI infrastructure is validated.

What youll be doing:
Review system and product requirements, design validation methodologies, develop and implement comprehensive test plans, functional and performance, for networking technologies in large-scale AI cluster solutions
Develop and maintain benchmarks, automation tools and scripts for test execution, environment setup, log collection, and data analysis.
Lead end-to-end investigation of complex issues by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across the hardware and software stack, and driving them to root cause and resolution
Read and understand source code (C/C++/Python) to investigate defects, validate fixes, and improve logging, instrumentation, and debugging capabilities
Collaborate deeply with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components using targeted experiments and code inspection
Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations
Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes
Requirements:
What we need to see:
B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience.
12+ years of experience in networking, system validation, or related domains.
Proven experience debugging complex production systems by forming hypotheses, designing experiments, and driving issues to root cause.
Ability to read, debug, and reason about C/C++ code (Rust or Go a plus).
Strong scripting and automation experience using Python, Bash, and/or Ansible.
Deep understanding of distributed systems: concurrency, consistency models, fault tolerance, and large-scale system performance under stress.
Ability to drive technical alignment across teams, communicate tradeoffs clearly, and make high-quality architectural decisions at speed.
Advance AI-driven approaches to test automation: intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines.

Ways to stand out from the crowd:
Experience with large-scale clusters or distributed systems.
Familiarity with NVIDIA networking solutions (ConnectX, SpecX, BlueField).
Background in performance analysis, Kubernetes, or cloud environments.
Background in chaos testing, fault injection, or simulation systems .
This position is open to all candidates.
 
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לפני 4 שעות
Location: Ra'anana and Yokne`am
Job Type: Full Time
We are looking for an Engineering Manager to join our Network System Validation group. You will work on system validating advanced networking solutions across our complex AI cluster environments. The group is a high-performance engineering force that treats validation as a first-class software problem. We build systems, frameworks, and benchmarks that prove our network's correctness and performance at scale. In this role you will lead the validation direction and engineering excellence of one of our technology validation teams. This is a management role for a technology leader who can own the technical roadmap and execution, mentoring a team of high-performance engineers, and push our network to its speed-of-light limits. This role combines the development of methodologies and automation tools with system validation, performance analysis, and investigation of cutting-edge AI networking technologies at scale.

What youll be doing:

Lead, mentor, and coach a team of software development and system validation engineers.

Review system and product requirements, design validation methodologies, develop comprehensive test plans, functional and performance, for networking technologies in large-scale AI cluster solutions.

Develop and maintain benchmarks, automation tools and scripts for test execution, environment setup, log collection, and data analysis.

Lead end-to-end investigation of complex issues by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across the hardware and software stack, and driving them to root cause and resolution.

Collaborate deeply with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components using targeted experiments and code inspection.

Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations.

Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes.

Foster a team culture centered on software quality, accountability, and technical excellence.
Requirements:
What we need to see:

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

8+ overall years of experience in networking, system validation, or related domains.

3+ years of experience leading software or system development team.

Proven experience debugging complex production systems by forming hypotheses, designing experiments, and driving issues to root cause.

Strong scripting and automation experience using Python, Bash, and/or Ansible.

Ability to read, debug, and reason about C/C++ code (Rust or Go a plus).

Ability to drive technical alignment across teams, communicate tradeoffs clearly, and make high-quality architectural decisions at speed.

Advance AI-driven approaches to test automation: intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines.


Ways to stand out from the crowd:

Experience with large-scale clusters or distributed systems.

Familiarity with NVIDIA networking solutions (ConnectX, SpecX, BlueField).

Background in performance analysis, Kubernetes, or cloud environments.

Background in chaos testing, fault injection, or simulation systems.
This position is open to all candidates.
 
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Location: Ra'anana
Job Type: Full Time
we are seeking a Group Lead for its Infrastructure Services (DIS) team to be a key member of our customer-facing technical organization. Join a dynamic and forward-thinking company at the forefront of AI infrastructure. We leverage advanced technologies to develop innovative solutions that drive efficiency, scalability, and exceptional compute performance. Collaborate with the industry's best as we partner with hyperscalers, emerging NeoClouds, and enterprises building large-scale AI/HPC clusters, shaping the future of disaggregated AI networking and compute infrastructure. Our environment fosters creativity, teamwork, and growth, and offers you the opportunity to make a meaningful impact while leading a high-performing team on groundbreaking deployments.
As Group Lead for DIS, you will manage and develop a team of Solution Engineers and Solutions Architects responsible for designing, deploying, and optimizing our company's AI/HPC infrastructure solutions at customer sites. You will provide technical leadership across the full customer lifecycle - from pre-sales architecture and POC execution through deployment, performance benchmarking, and ongoing operations. You will work cross-functionally with Sales, Product Management, and Engineering to ensure customer success, drive product feedback, and continuously raise the bar for technical delivery quality across the team.
Responsibilities
Lead and develop the DIS team - a group of Solution Engineers and Solutions Architects - setting technical direction, managing execution, and fostering a culture of ownership, learning, and customer focus.
Oversee end-to-end customer engagement for DIS - from pre-sales technical support and solution architecture through POC planning, deployment execution, and post-deployment operations.
Serve as the senior technical escalation point for customer infrastructure challenges, including AI cluster performance issues, networking design trade-offs, and operational reliability concerns.
Partner with Sales Account Managers to support business opportunities, lead technical responses to RFP/RFQs, and influence technical decision-makers at the VP and CxO level.
Guide the team in conducting performance benchmarking activities - including NCCL/RCCL, RDMA, and LLM benchmarks - and ensure results are translated into actionable product and deployment insights.
Work with Product Management and Engineering to funnel customer requirements, field observations, and performance data into the product roadmap and development backlog.
Define and drive internal processes for deployment planning, operational readiness, monitoring standards, and technical documentation across the DIS team.
Build and maintain relationships with compute, NIC, and storage partners to support joint POCs, reference deployments, and solution validation.
Represent our company at industry events and conferences, and contribute to external technical content including white papers, blogs, and design guides.
Recruit, mentor, and grow team members, and establish clear performance goals aligned with business objectives.
דרישות:
What we need to see:
10+ years of experience in AI/HPC infrastructure, data center networking, or solutions architecture, with at least 2-3 years in a technical leadership or team lead capacity.
Hands-on technical depth across both compute infrastructure (GPU clusters, Linux systems, AI workloads) and data center networking (routing, switching, fabric design), with the ability to engage credibly across both disciplines.
Proven experience leading customer-facing technical teams through complex deployment and POC cycles in AI/HPC or data center environments.
Strong understanding of AI cluster architecture - including GPU platforms (NVIDIA, AMD), RDMA networking, storage connectivity, and the interaction between compute, network, and storage layers.
Experience with performance benchmarking methodologies (NCCL/RCCL, RDMA, LLM workloads) and the ability to interpret a המשרה מיועדת לנשים ולגברים כאחד.
 
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Location: Ra'anana
Job Type: Full Time
As a Solution Engineer, you will play a pivotal role in designing, deploying, and optimizing our companys Network Cloud AI Infrastructure solutions. This individual contributor role requires a blend of technical expertise, leadership, and hands-on experience to implement cutting-edge solutions for our customers. You will collaborate with sales engineering teams, customers, and cross-functional teams - including Product Management, Solution Architects, Engineering, and Marketing - to define technical requirements, articulate solution value, and ensure successful deployment on-site.
Key responsibilities include guiding customers through the design and deployment process, aligning technical solutions with business needs, and providing critical feedback to improve our companys product offerings. This position demands strong technical acumen, exceptional communication skills, and the ability to lead complex, high-impact projects in dynamic environments.
Responsibilities:
Design and plan rack layouts and network topologies to support customer requirements.
Perform Data Center upgrades and ensure smooth deployment of our company solutions.
Install and configure our company products, ensuring optimal performance and customer satisfaction.
Design and implement compelling Proof of Concept lab setups, run them, and collect and document the results for the field consumption
Develop and deliver HLD and LLD documentation for customer deployments.
Design and evaluate automation scripts for network operations, configuring server and switch fabrics.
Engage with sales teams and customers to ensure success with major opportunities and deployments
Introduce new products to the company sales and support teams and to company customers
Deliver technical trainings and TOIs for support/sales engineers, partners, and customers
Collaborate on product definition through customer requirement gathering and roadmap planning.
Requirements:
Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
5+ years of experience in system administration, networking, or related fields.
Technical expertise in Data Center or high-end enterprise network design (e.g. BGP, EVPN, QoS, Multicast)
Experience in building lab demo or POC installations composed of products and tools from multiple vendors
Hands-on experience with Python and configuration management tools (e.g., Ansible).
Hands-on with excellent troubleshooting skills
Ability to write extensive technical content (white papers, technical briefs, test reports, etc.) for external audiences with a balance of technical accuracy, strategy, and clear messaging
Ability to travel Domestic and international up to 20% of the time
Ways to stand out from the crowd:
Familiarity with AI-relevant data center infrastructure and networking technologies such as: Infiniband, RoCEv2, lossless Ethernet technologies (PFC, ECN, etc), accelerated computing, GPU, DPU, etc.
Understanding of AI/HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.
Understanding of data center operations fundamentals in networking, cooling, and power
Familiarity with monitoring tools (e.g., Prometheus, Grafana, ELK Stack) and Telemetry (gRPC, gNMI, OTLP, etc).
Proven experience with one or more Tier-1 Clouds (AWS, Azure, GCP or OCI) or emerging Neoclouds, and cloud-native architectures and software.
Expertise with parallel filesystems (e.g. Lustre, GPFS, BeeGFS, WekaIO) and high-speed interconnects (InfiniBand, Omni Path, Ethernet).
This position is open to all candidates.
 
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Location: Yokne`am
Job Type: Full Time
We are looking for a Data Center Network Deployment Engineer to join the Networking clusters solutions HPC/AI Infrastructure team. We are building supercomputers and AI clusters based on groundbreaking technologies. We are looking for a network/system engineer to be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and GPU computing.

You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms. Does this sound like you? If so, we would love to hear from you!


What you'll be doing:
Deploy, manage and maintain large scale AI Data Centers - control, network and storage stack
Work with multiple software and hardware teams to optimize the clusters networking health and performance
Develop and implement automation scripts for network, compute and storage operations and deployments
Supporting Research & Development activities and engaging in POCs/POVs for future improvements
Requirements:
What we need to see:
B.Sc. in Engineering or CCNP certificate.
8+ years of proficiency in networking fundamentals, configuring ethernet switches, understanding the TCP/IP stack, and data center architecture.
Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalls, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc.
Proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance customer experience.
Provides ad-hoc knowledge transfers, develops handover materials, and offers deployment support for engagements.


Ways to stand out from the crowd:
Combination of interpersonal skills and technical competence.
Knowledge of HPC and AI solution technologies from CPUs and GPUs to high speed interconnects and supporting software.
Experience with multiple storage solutions such as Lustre, GPFS, and newer and emerging storage technologies.
Automation tooling background (Ansible, Salt, Puppet etc.).
This position is open to all candidates.
 
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02/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Join our company, an innovative startup building a fully-managed LLM-inference platform, that enables data heavy enterprises to perform any AI task at any scale without limits.
We're looking for an Experienced Performance Researcher to join our founding team. Youll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for AI workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing our company as a leader in adaptive AI compute management.
Join us to tackle the magic that make AI tick under the hood and build the backbone powering the AI revolution.
What Youll Do
- Design and build high-performance distributed inference pipelines for LLMs, focused on large-batch, non-real-time scenarios.
- Optimize GPU memory usage, kernel execution, and communication across nodes (NCCL, MPI, etc.).
- Own CUDA kernels, compiler-level tricks, and multi-GPU scheduling logic.
- Lead profiling and performance tuning for throughput, and cost- down to the kernel level.
- Collaborate with infra, product, and research teams to define SLAs, resource allocation logic, and runtime behaviors.
- Help build the core infrastructure that will run LLM workloads across hybrid GPU environments (cloud/on-prem/self-hosted).
Requirements:
- Deep experience with CUDA programming, GPU architecture, and low-level performance engineering.
- Fluency with Python and C++, and a mastery of profiling tools like Nsight, nvprof, perf, etc.
- Experience building systems for large-scale distributed training or inference (PyTorch, DeepSpeed, Ray, Horovod, etc.).
- Hands-on familiarity with cluster and container orchestration tools (Kubernetes, Slurm, Docker).
- Self-motivated and able to operate independently in a fast-moving startup environment.
- Strong analytical skills and a passion for elegant performance wins.
- A collaborative team player with strong interpersonal skills, a positive and easygoing attitude, and the potential to grow into a leadership role.
- Prior experience building inference runtimes or scheduling frameworks.
- Experience with serverless GPU models, model parallelism, tensor slicing, and batching tricks.
- Contributions to open-source HPC or ML infra projects.
- Understanding of AI/ML privacy and compliance concerns in enterprise environments.
- Track record of working on distributed systems at bleeding-edge research labs or infrastructure teams.
This position is open to all candidates.
 
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לפני 4 שעות
חברה חסויה
Location: Ra'anana and Yokne`am
Job Type: Full Time
We are looking for a Senior Software Engineer to join our team developing the core technologies behind our SmartNIC platform. Your work will directly impact next-generation AI infrastructure, cloud networking, and high-performance data centers used by customers around the world.

As part of the team, you will contribute to the DOCA SDK (Our DOCA Software Framework), enabling developers to build hardware-accelerated, cloud-native networking and security applications. You will also collaborate on the Linux Foundation's DPDK project, helping deliver industry-leading packet processing performance and scalable networking solutions.

What you'll be doing:

Architect, design, and develop next-generation networking acceleration technologies.

Build and enhance core software components for programmable, high-performance pipeline execution.

Develop software abstractions and infrastructure that expose sophisticated platform capabilities in a scalable and maintainable way.

Optimize execution flow, data movement, and software performance across complex features and workloads.

Work closely with architects, customers, and engineering teams to understand requirements and deliver high-quality solutions.

Collaborate across the software stack, including applications, SDK and runtime layers, drivers, Linux kernel, firmware, and hardware teams.

Drive technical decisions and play a role in crafting the build of performant, maintainable software.
Requirements:
What we need to see:

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

5+ years of strong C/C++ software development experience.

Experience with Linux development tools, debugging, and performance analysis.

Proven understanding of networking concepts and protocols such as Ethernet, TCP/IP, or similar.

Strong understanding of operating systems, computer architecture, and low-level systems software.

Experience building or debugging multi-layer software systems.

Strong analytical and problem-solving skills.


Ways to stand out from the crowd:

Experience developing high-performance or low-latency software.

Background in networking, packet processing, or data-plane software.

Experience designing developer-facing APIs, libraries, or software frameworks.

Experience with compiler, code-generation, or runtime infrastructure.

Contributions to open-source systems or networking projects.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8835856
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 5 שעות
Job Type: Full Time
We are We are seeking a Senior Switch Silicon Security Architect to define end-to-end security across switch silicon, firmware, networking protocols, and management stacks. Working with architecture, engineering, and product teams, this role will shape security from early design through validation, manufacturing, and deployment.

What you'll be doing:

Research, design, and drive the implementation of hardware and software security architectures for switch platforms that meet internal requirements, customer needs, and industry standards.

Develop threat models and define end-to-end security architectures for hyperscale networking solutions spanning silicon, firmware, high-performance networking protocols, and management stacks.

Partner across us with hardware, software, research, and product teams to shape the strategic direction of switch silicon and fabric-level security.

Define and drive multi-generation security roadmaps for switch silicon, networking protocols, and fabric-level solutions.

Engage directly with customers to understand their security requirements and translate them into switch silicon and system architectures that address both component and solution-level needs.

Represent us in industry standards bodies and collaborate with external partners to shape emerging security standards and drive interoperability across silicon and networking ecosystems.
Requirements:
What we need to see:

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

7+ years of experience in silicon security, SoC architecture, embedded systems security, or a related field.

Proven hands-on experience architecting and implementing hardware roots of trust, secure boot, attestation, secure lifecycle and debug mechanisms, and key provisioning.

Strong foundation in applied cryptography at scale, including hardware trade-offs, PKI, key and identity management, post-quantum cryptography, and encryption technologies.

Hands-on experience architecting secure hardware-firmware interfaces for SoCs and embedded devices.

Deep understanding of high-performance networking protocols and their end-to-end security implications.

Strong communication and influencing skills, with a proven ability to drive initiatives in a fast-paced organization.

Ways to stand out from the crowd:

Experience influencing industry security standards or collaborating with cloud customers and external partners on hardware and end-to-end networking security architectures.

A proven track record of taking innovative security technologies from research and architecture through implementation and deployment in production silicon.

Deep expertise in securing high-performance networking protocols and fabrics, including Ethernet, InfiniBand, and NVLink, with a strong understanding of the switchs role in end-to-end confidential computing and trusted execution environment architectures.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8835795
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
לפני 5 שעות
חברה חסויה
Location: Yokne`am
Job Type: Full Time
We are looking for an outstanding Software Performance Engineer for our Linux Drivers group. You'll closely work with our Driver developers, verification teams, and performance architects, gaining a deep understanding of our Networking products and technologies built on top of our ConnectX and BlueField network cards. You will lead feature verification from design through implementation to integration into frameworks, develop robust infrastructure, and work collaboratively with cross-functional teams.

This position offers the opportunity to have real impact in a dynamic, technology-focused company, influencing product lines that empower the most advanced data centers in the world. We've built a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what's possible today and define the platform for the future of computing. We strongly believe in developing our employees and giving them the tools to succeed.

What youll be doing:

Work closely with developers to test new components, including crafting and executing unit, functional, and performance tests.

Develop a verification environment and tools to qualify the product from functional and performance perspectives.

Investigate performance-related issues in networking Linux drivers.

Analyze coverage measures to identify verification holes and to show progress toward product development and releases.

Identify and write all types of coverage measures for stimulus and corner cases.

Incorporate AI mindset and practices in your daily work.
Requirements:
What we need to see:

B.Sc. or equivalent experience in Computer Science or SW/Computer Engineering.

3+ years of work experience in low level software development.

Strong programming skills in Python and/or C.

Strong orientation towards performance aspects in low level code design.

Background with Networking and protocols.

Creative, motivated, and results-driven worker.


Ways to stand out from the crowd:

Background in Linux Operating Systems.

Strong debugging and analytical skills.

Proven experience in performance analysis and debug of low level code.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
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8835748
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