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חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are looking for an AI & Automation Engineer to design, build, and enable enterprise AI infrastructure and automation solutions.
This role focuses on AI architecture, workflow automation across IT and business applications, and monitoring, governance, and cost management of AI tools and agents.
You will work at the intersection of AI platforms, IT operations, and business automation, enabling scalable, secure, and cost-effective AI adoption across the organization.
Responsibilities:
Select and integrate AI tools, frameworks, and platforms aligned with enterprise IT standards.
Ensure scalability, security, reliability, and compliance of AI infrastructure.
Enable AI solutions from concept to production, including:
AI-powered IT tools
AI agents and copilots
AI services integrated into business applications
Collaborate with IT, DevOps, Security, and Business teams to deploy AI solutions smoothly.
Build reusable AI enablement patterns, templates, and best practices.
Automation of Workflows
Design and implement automation of IT and business workflows using AI and orchestration tools.
Integrate AI agents into:
IT operations (ITSM, monitoring, incident response)
Business applications and internal systems
Improve efficiency, reliability, and user experience through intelligent automation.
AI Monitoring, Usage & Financial Governance
Define and implement monitoring for AI systems, including:
Usage tracking
Performance and reliability
Model and agent behavior
Track and analyze financial usage and cost of AI tools, APIs, and platforms.
Establish governance frameworks for responsible and controlled AI usage.
Requirements:
Technical Skills
Strong background in IT infrastructure, cloud platforms, and system architecture.
Experience with AI platforms, AI APIs, or agent-based systems.
Hands-on experience with automation and workflows tools (e.g. Workato, CI/CD, IT automation).
Familiarity with monitoring, observability, and cost management tools.
Understanding security, compliance, and governance in enterprise IT environments.
Soft Skills
Ability to translate business needs into technical AI solutions.
Strong collaboration skills across IT, security, and business teams.
Structured, architecture-level thinking with hands on execution ability.
Proactive mindset with ownership over AI enablement and automation outcomes.
Experience with AI agents, copilots, or LLM-based systems.
Knowledge of FinOps or cost management for cloud/AI services.
Experience in IT operations, ITSM, or enterprise business applications.
Familiarity with data pipelines and analytics platforms.
This position is open to all candidates.
 
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13/01/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are seeking a motivated and hands-on IT Software Engineer with 2-5 years of proven experience in AI development. As part of our IT development team, you will design, build, and deploy AI-powered applications and solutions that drive innovation and improve business productivity. You will work closely with software engineers, business analysts, and business stakeholders to implement AI models, agents, and copilots using modern tools and platforms.
This is a great opportunity for someone passionate about AI, who enjoys building practical solutions and growing their expertise in enterprise-scale environments.
How will you make an impact?
Be an active member of the IT development team, contributing to design, coding, and deployment of AI-driven solutions.
Develop and implement AI agents, copilots, and automation workflows using tools such as Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, and Python.
Integrate AI models and components into existing applications, systems, and business processes.
Write clean, maintainable, and efficient code for AI-driven features and applications.
Apply prompt engineering techniques to optimize large language model (LLM) performance.
Collaborate with cross-functional teams (data engineering, product, business) to translate requirements into working AI solutions.
Participate in code reviews, testing, debugging, and deployment of AI applications.
Stay up to date with emerging AI technologies and contribute ideas for their adoption.
Support the monitoring and maintenance of AI models in production, including performance tuning and troubleshooting.
Requirements:
2-5 years of experience in software development with a focus on AI/ML implementation.
Proven hands-on experience building AI applications, agents, or copilots using Python and platforms such as Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, or similar.
Understanding of LLMs, prompt engineering, vector databases, and real-time data integration.
Familiarity with DevOps/MLOps practices for deploying and monitoring AI models.
Strong programming skills in Python (experience with frameworks such as Langchain, Hugging Face, ).
Experience working with APIs, cloud platforms (Azure preferred), and data pipelines.
Ability to work collaboratively in a team and communicate technical concepts clearly.
Passion for AI innovation and eagerness to continuously learn new tools and techniques.
You will have an advantage if you also have:
Bachelors degree in Computer Science, Data Science, AI, or a related field.
Experience integrating AI into business applications (CRM, ERP, productivity tools).
Familiarity with responsible AI and governance practices.
Contributions to open-source AI projects - a plus.
This position is open to all candidates.
 
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13/01/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
we are looking for Director of AI Enablement to lead the transition of our R&D organization to AI driven development and SDLC. The goal is to continuously help our developers and engineering roles use AI coding tools as well as develop AI based agents to optimized the development experience and velocity, applying the new AI based development methodologies across our our global R&D organization.
Your mandate is to help accelerate delivery by on boarding teams to effectively use AI tools during the development and testing, support the teams in building production level code and how to best leverage the AI coding agents to meet the production level standards.
How will you make an impact?
Upskill engineers - run concise workshops and pair‑programming sessions with developers and teams to help them become more proficient and productive in adopting AI coding tools for their SDLC
Join R&D teams, on demand, to help with hands on AI based coding tasks.
Prototype & demo reference AI agents that illustrate best‑practice patterns teams can reuse
Proactively suggest tools and processes to improve developer experience and productivity
Train the trainer- collaborate with the AI Champions in R&D to build joint knowledge in the organization so that they will be able to distribute it to their teams.
Build backlog for AI Champions on specific tools and sharable deliveries that the entire organization can benefit from, and be responsible to track the adoption of those tools and practices.
Requirements:
Strong technical background and hands on experience in software engineering. 10+ yrs software engineering, 3+ yrs hands‑on with AI coding tools
Works closely with the leading AI coding tools (GitHub CP, ClaudeCode, Cursor, )
Experience developing against the AWS platform
Experience developing and using AI Agents
Experience in MCP and A2A protocols
Great communication skills and ability to work within large distributed organization
Exceptional developer‑to‑developer communication and the ability to work autonomously across time zones
Leadership & influence-mentors engineers, drives cross‑functional adoption, and unites remote teams around shared AI standards.
Executive leadership - ability to build short and long term plans, get buy in from management and from the dev teams, ability to present in executive forums.
Managerial experience equivalent to Director/VP with proven experience in enterprise software company
This position is open to all candidates.
 
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08/02/2026
Location: More than one
Job Type: Full Time
We are looking for an outstanding Senior Technical instructor to join our Education Services team. In this role, you will provide advanced training on our data center, AI, and HPC platforms to customers and partners around the world. You will also contribute to developing training content, including presentation decks, hands-on manuals, and supporting materials. You will help engineers, architects, and operations teams build the skills needed to design, deploy, and operate our-powered AI data centers with confidence. As part of this, you will take part in the design of hands-on workshops and lab environments that simulate real systems and data center components, enabling learners to practice on realistic end-to-end scenarios.

What youll be doing:

Deliver in-person and remote technical training on our data center, AI, and HPC platforms for customers and partners, with up to 25% travel as needed.

Lead lab-based training sessions that walk learners through end-to-end workflows on our GPUs, DGX/GB200 systems, high-speed networking, and AI/HPC software stacks.

Collaborate with internal experts and content developers to build agendas, exercises, and demos that reflect real customer use cases and guidelines.

Serve as a subject-matter guide (SME) for a dedicated production team and learning developers. They build primary content. Partner with them on slideware, lab guides, videos, simulations, visual demos, and exercises. Ensure technical accuracy and realism.

Act as a technical ambassador for us in front of partner and customer audiences, answering inquiries, facilitating discussions, and guiding learners through fix and what-if scenarios.
Requirements:
What we need to see:

Bachelors degree or equivalent experience in computer science, engineering, or a related field.

8+ years of experience in data center or cloud infrastructure, including Linux server administration and deployment of AI / HPC workloads.

Hands-on experience with core infrastructure technologies such as Kubernetes, Docker, monitoring and observability tools (e.g., Grafana), virtualization platforms, and at least one major cloud provider (AWS, Azure, or GCP).

Solid understanding of networking and storage concepts relevant to modern AI/HPC data centers.

Demonstrated experience delivering technical training or workshops, with excellent presentation, facilitation, and English communication skills.

Ability to work effectively in a matrixed organization and collaborate with product, engineering, and enablement teams.

Ways to stand out from the crowd:

Direct hands-on experience with NVIDIA technologies such as DGX systems, GB200 / SuperPOD, InfiniBand networking, NVIDIA AI Enterprise, or related AI/HPC platforms.

Prior experience building or delivering hands-on labs that simulate data center environments, including GPUs, networking, storage, and management tools.

Relevant certifications (e.g., CKA/CKAD, cloud architect certifications, Red Hat, or advanced networking certifications).

Proven track record as a technical instructor for enterprise customers or partners, especially in AI, HPC, or large-scale infrastructure domains.
This position is open to all candidates.
 
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13/01/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
we are seeking an experienced Product Owner to lead operational aspects of our SaaS platform. This role focuses on ensuring supportability, reliability, and scalability across the platform, collaborating closely with R&D and Cloud Operations teams. You will drive requirements and priorities for monitoring for all aspects of operations and cost, tenant management, tools for support, and onboarding. This role is critical to meeting our clients service level expectations for a modern SaaS offering to handle all aspects of Financial Crime and Compliance management.
How will you make an impact?
Embed auditing, compliance, and security controls into operational workflows to reduce risk and ensure regulatory adherence.
Deliver onboarding tools and administrative consoles that accelerate tenant setup and improve operational efficiency for internal support teams.
Implement deployment automation and configuration migration processes that shorten release cycles and minimize errors.
Optimize resource utilization and cost efficiency through measurable KPIs and proactive capacity planning.
Achieve high availability and disaster recovery objectives by validating performance testing strategies in collaboration with R&D and Cloud Ops.
Establish robust monitoring, logging, and troubleshooting capabilities that enhance platform reliability and reduce mean time to resolution (MTTR).
Requirements:
5+ years of product ownership experience in SaaS platforms with an operational focus
Technical background (e.g., degree in Computer Science, Engineering, or related field) or previous software engineering experience
Experience with multi-tenant SaaS architectures and enterprise-grade access control models, especially with AWS
Strong understanding of observability, monitoring, and logging frameworks.
Experience with deployment automation, performance testing, and disaster recovery planning
Familiarity with cost optimization strategies and resource monitoring in cloud environments
Ability to collaborate effectively with engineering, operations, and support teams to deliver operational excellence
Ability to navigate complex technical conversations and work effectively with engineering teams.
Excellent communication skills, including documentation and stakeholder engagement.
Familiarity with agile development practices and backlog management tools (e.g., Jira, Confluence).
This position is open to all candidates.
 
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חברה חסויה
Location: Ra'anana
Job Type: Full Time
You will participate in implementing a new strategic platform offering Generative AI (Gen AI) capabilities such as inference, fine-tuning, data curation, data labeling, and more.

We are seeking a highly skilled Gen AI software engineer to design, develop, and deploy state-of-the-art, scalable, efficient Gen AI solutions. You will be part of a high-performing engineering team that values collaboration, innovation, and teamwork. This role is perfect for someone who thrives in an environment where ideas are shared, challenges are met together, and success is a collective achievement.

Responsibilities:
Designed and implemented Gen AI platform components using Python and modern microservices.
Drive engineering and operational excellence and best practices.
Collaborate with tech, product, program, and business peers to deliver customer value and drive product vision.
Drive the end-to-end development of AI systems, from research and experimentation to deployment and scaling.
Mentor and support engineers, fostering a culture of collaboration, knowledge-sharing, and continuous learning.
Analyze complex problems and identify and define the requirements to solve them.
Apply DevOps principles to maintain high-performance and scalable AI systems.
Design and implement secure APIs, ensuring data protection and safe interaction with AI models.
Stay updated on the latest Gen AI trends and technologies, bringing fresh ideas to the team.
Requirements:
Requirements:
3+ years of experience in applying AI to practical and comprehensive technology solutions.
Strong understanding of Generative AI principles, including Large Language Models (LLMs), RAG techniques, Fine-tuning, inference, and more - a big advantage.
Proficiency in Python and experience with Gen AI, Gen-related Python libraries and modules.
Experience contributing to the architecture and design (architecture, design patterns, reliability, and scale) of new and current systems.
Excellent problem-solving and analytical skills.
Expertise with vector databases (e.g., OpenSearch, Pinecone) for data storage and retrieval - an advantage.
Excellent interpersonal skills, team player with strong communication skills.
Academic degree in Computer Science or equivalent.

Certifications:
AWS Machine Learning Specialty (Strongly Preferred).
AWS Solutions Architect - Associate (Strongly Preferred).
AWS Solutions Architect - Professional (Preferred).
This position is open to all candidates.
 
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7 ימים
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are seeking an experienced IT/Lab Manager to lead the planning, deployment, and operations of our physical lab environment and IT systems. This role will focus on building and maintaining scalable, reliable, and secure environments to support engineering teams involved in research, quality assurance, validation, and related activities. It will also support internal collaborators. You will have an outstanding opportunity to drive innovation in a multidimensional, technology-focused company that is crafting the future of data-center and lab technologies. If you bring perfection and creative thinking while solving issues as they arise, and enjoy working with distributed teams - your place is with us!

What Youll Be Doing:
Own day-to-day operations, planning, and roadmap for the engineering lab and IT infrastructure (servers, storage, networking, and related services).
Lead and mentor an IT/Lab team, driving guidelines, standards, and a culture of ownership, partnership, and continuous improvement.
Collaborate closely with R&D, QE, Verification, and other engineering teams to design, provision, and maintain environments that meet their performance, reliability, and security needs.
Lead all aspects of running data center and lab operations, including rack layout, cabling, power and cooling, hardware lifecycle, and resource availability.
Lead procurement and vendor management for hardware, software, and services, including evaluation, negotiation, and ongoing relationship management.
Implement and maintain automation for system provisioning, configuration, and operations using tools such as shell/Perl/Ansible.
Design and maintain monitoring, logging, and alerting for servers, network, and storage systems to ensure high availability and rapid incident response.
Investigate and resolve sophisticated infrastructure issues across OS, networking, storage, virtualization, and application layers.
Requirements:
What we need to see:
B.Sc. or BA in Computer Science, Engineering, or a related field, or equivalent practical experience.
At least 10 years of overall experience in IT / systems administration, including extensive hands-on work with Linux/Unix environments.
At least 3 years of experience in a managerial or team-lead position within IT, lab, or infrastructure teams.
Vast experience with Linux/Unix system administration, including installation, configuration, troubleshooting, and performance tuning.
Demonstrable experience collaborating with engineering organizations (R&D, QE, Verification, etc.) and supporting their infrastructure needs.
Solid experience with data center and lab management, including server, network, and storage equipment deployment and lifecycle.
Demonstrated experience in procurement and vendor management for infrastructure hardware and software.
Proficiency in automation and scripting (e.g., shell, Perl, Ansible) for provisioning, configuration, and operational tasks.
Hands-on experience with monitoring and alerting solutions for infrastructure and services.
Strong debugging skills and experience resolving complex, cross-domain technical issues.

Ways To Stand Out From The Crowd:
Experience with Kubernetes (K8s) in on-prem or hybrid environments.
Hands-on work with Slurm, HPC clusters, and large-scale compute environments.
Background in HPC, large-scale Linux clusters, or performance-sensitive engineering environments.
This position is open to all candidates.
 
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13/01/2026
Location: More than one
Job Type: Full Time
We are seeking a Senior Customer Program Manager - Generative AI to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. As a key member of the Customer Program Management Team, this role will drive collaboration with major enterprise customers, cloud service providers, Tier-1 partners, and OEMs. The ideal candidate will bring strong technical program management expertise, a solid engineering background, and the ability to thrive in fast-paced environments while ensuring successful outcomes for both internal teams and external collaborators.

What you will be doing:

Define and manage program schedules, deliverables, and turning points aligned with customer roadmaps and requirements.

Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.

Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.

Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.

Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.

Provide ongoing post-deployment sustaining support, serving as case manager for high priority concerns within the generative AI domain.

Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets.

Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.
Requirements:
What we need to see:

Bachelors or Masters degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

8-10+ years of program/project management experience in the semiconductor, IT, automotive, or embedded systems industries.

Strong technical background in hardware and/or software product development with experience working closely with OEMs and ODMs for datacenter's deployments.

Consistent track record of leading complex, global programs through full development lifecycles into deployment and production.

Excellent program management, communication, and organizational skills with the ability to prioritize issues and drive cross-functional alignment.

Consistent track record to coordinate with global teams and navigate multi-cultural, multinational business environments.

Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences, from engineers to executives.

Willingness to travel as required (up to 10%), and thrive in fast-paced, dynamic environments.

Ways to stand out from the crowd:

Track record running end-to-end hardware and software product development in industries such as datacenter/server and semiconductors.

Prior experience in large-scale enterprise/server platforms specific to generative AI vertical.

Strong leadership in matrixed collaboration, conflict resolution, and consensus-building.

Proven expertise in leading all aspects of production schedules, optimizing line yields, and resolving sophisticated field quality challenges.

Strong background thriving in dynamic, high-growth environments, with proven adaptability to obscurity, rapid change, and matrixed team structures.
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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7 ימים
Location: More than one
Job Type: Full Time
We are looking for a Senior HPC and AI Cluster Administrator 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 system administrator 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 will be doing:

Deploy, manage and maintain large scale HPC/AI clusters.

Managing Linux job/workload schedules and orchestration tools.

Support and maintain continuous integration and delivery pipelines.

Troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level.

Supporting Research & Development activities and engaging in POCs/POVs for future improvements.
Requirements:
What we need to see:
Bachelor's Degree in Computer Science, Engineering, or a related field; or equivalent experience.

5+ years of experience.

Knowledge of HPC and AI solution technologies from CPUs and GPUs to high speed interconnects and supporting software.

Experience with job scheduling workloads and orchestration tools such as Slurm, K8s.

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.

Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies.

Python programming and bash scripting experience, automation and configuration management tools such as Jenkins, Ansible, Gitops.

Knowledge of Networking Protocols like InfiniBand, Ethernet.

Experience with virtual systems (for example VMware, Hyper-V, KVM).

Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud).

Ways to stand out from the crowd:

Knowledge of CPU and/or GPU architecture.

Knowledge of Kubernetes, container related microservice technologies.

Experience with GPU-focused hardware/software (DGX, Cuda).

Background with RDMA (InfiniBand or RoCE) fabrics.
This position is open to all candidates.
 
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are looking for a highly professional Technical Marketing Engineer (TME), to dive into our technology, master our lab and produce high-quality technical marketing content for our AI-infrastructure marketing campaigns. This position plays a crucial role in translating our engineering know-how into marketing content. It requires a blend of deep networking technical expertise, hands-on capabilities, strong communication skills, and a passion for translating complex technical information into compelling marketing messages that resonate with target audiences.
Responsibilities 
Collaborate with our research lab, engineering and delivery services to map technology, architecture, and deployment know-how.
Create high-quality content (reference designs, deployment and configuration guides, whitepapers, case studies, blog posts, demos etc.)
Support sales and channels in customers and partners' meetings.
Travel to support tradeshows, and customers and partners' events.
Requirements:
Deep networking know-how - preferably in the datacenter / AI domain - mandatory
Bachelor's degree in Computer Science, Engineering, or a related field - mandatory
AI Infrastructure, networking, cloud, datacenter background - a big plus
Excellent written and verbal communication, presentation, and interpersonal skills.
Proven ability to translate complex technical information into clear and concise marketing messages.
Ways to stand out
CCIE certification (or equivalent)
Experience benchmarking and analyzing networking solutions in an AI environment.
Deep understanding of with NVIDIA GPUs/systems, AMD GPUs/system, NICs, AI infrastructure architecture
Deep knowledge in datacenter and/or AI infrastructure network protocols, e.g., BGP, Cell-based fabrics, Clos fabrics, , VXLAN, etc.
This position is open to all candidates.
 
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