Applied AI Scientist - On Site

28/07/2026

משרה זו סומנה ע"י המעסיק כלא אקטואלית יותר

Applied AI Scientist - On Site

שם חברה חסוי

מיקום המשרה: תל אביב יפו

סוג משרה: משרה מלאה

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09/09/2026

AI Research Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are building a new AI venture inside monday.com to redefine how businesses interact with their customers through next-generation conversational AI and agentic systems. Our AI doesnt just react - it plans, reasons, and acts.

Youll join a small, highly autonomous team with the agility, ownership, and pace of a startup, working alongside world-class engineers and researchers to build the next generation of conversational AI. Youll have access to large-scale real-world data, the compute and resources to pursue groundbreaking research, and the freedom to move fast while helping shape Harmonys AI vision.

What youll do

Research novel algorithms and design new deep learning architectures to advance our in-house NLP and conversational models.

Develop methods for translating customer goals into structured representations with controlled states and real-time observations.

Help design the reasoning layer that orchestrates our AI models efficiently alongside a range of LLMs, enabling each agent to adapt its policy throughout a conversation while remaining aligned with customer objectives.

Build analytical tools that trace our AI decision process across a vast corpus of conversations, providing clear visibility into their reasoning and behavior.

Collaborate closely with engineers and product teams to translate cutting-edge research into production at scale.

Proactively lead new ideas and technical initiatives.

Requirements:
MSc or PhD in Computer Science, Mathematics, Physics, Electrical Engineering, or a closely related field.

Proficiency in Python.

Strong theoretical background in machine learning and deep learning principles.

Solid understanding of NLP concepts and relevant linguistic principles (co-reference, natural language inference, grammatical relations, and similar).

Experience using statistics and information theory to evaluate AI models and conduct EDA.

4+ years of experience conducting NLP research with deep learning models and frameworks (PyTorch, TensorFlow, and similar).

Experience shipping AI systems from research to production.

Experience with conversational AI agents is a big plus.

Publications at top-tier conferences (ACL, EMNLP, NeurIPS, ICML, CVPR) are a plus.

This position is open to all candidates.

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8816536

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04/09/2026

Machine Learning Scientist II - GenAI Applications

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Machine Learning Scientist II, you will work within a cross-functional team of engineers and product managers to develop, evaluate, and deploy GenAI-powered solutions for scalable, customer-facing applications. Your work will focus on implementing agentic capabilities, contributing to evaluation frameworks, and delivering measurable business impact through data-driven experimentation.

Key Job Responsibilities and Duties:

Contribute to the design and development of end-to-end agentic systems, ensuring code quality and efficiency in production.

Build agentic solutions for different tasks and use cases using state-of-the-art techniques

Develop and carry out evaluation strategies, including formulating new metrics and building evaluation judges

Adhere to and promote established best practices in GenAI application development within the team.

Collaborate actively with team members, participating in code reviews, sharing knowledge, and contributing to a positive team environment.

Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into ML solutions.

Conduct deep data analysis to evaluate model performance, label quality, features exploration.

Work closely with ML engineers to ensure and improve the solutions latency/throughput meets product requirements and ensure deployment of your model to production.

Requirements:
Bachelors or masters degree in Computer Science, Engineering, Statistics, or a related field.

Minimum of 3 years of experience as a Machine Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions to production.

Strong understanding and practical experience with Generative AI models, Natural Language Processing and engineering aspects of developing ML.

Experience executing research and development plans and contributing to large-scale ML applications.

Experience on multiple ML facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.

Experience collaborating cross-functionally in the development of ML products (e.g. Developers, Product Managers, UX specialists, etc.).

Strong working knowledge of Python, LangChain, SQL, and Spark or similar technologies.

Strong coding practices, including writing and reviewing production-quality, maintainable, and well-tested code, with the ability to effectively leverage modern AI coding assistants while maintaining high standards for correctness, readability, and system design.

Excellent English communication and presentation skills, both written and verbal.

This position is open to all candidates.

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8809569

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30/08/2026

Senior Delivery Consultant - AI/ML - Application Development, Professional Services Israel

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are seeking an experienced Senior Delivery Consultant - Modernization with deep expertise in Artificial Intelligence to join our Professional Services (ProServe). This role combines strategic architectural vision with hands-on technical leadership to deliver innovative AI solutions that drive customer success and business transformation across diverse industries and use cases.

Key job responsibilities
* Architecture & Design: Design and architect end-to-end AI-powered application solutions aligned with customer business objectives and technical requirements.
* Define application architecture patterns, standards, and best practices for AI/ML integration on us.
* Create technical roadmaps for customer AI application development and modernization initiatives
* Evaluate and recommend AWS AI/ML services and technologies including our Bedrock, SageMaker, and generative AI solutions
* Design data pipelines and ETL processes to support AI model training and inference using AWS services
* Customer Engagement & Consulting:
Lead customer engagements from discovery through implementation, serving as trusted technical advisor
* Conduct AI readiness assessments and develop adoption strategies tailored to customer maturity levels
* Facilitate architecture workshops and design sessions with customer stakeholders
* Deliver Well-Architected reviews focused on AI/ML workloads
* Build strong relationships with customer technical teams and executive leadership
* Guide customers in constructing AI processes aligned with AWS best practices
* Technical Leadership: Lead cross-functional teams in implementing AI solutions from concept to production
* Provide technical guidance on AI model integration, deployment strategies, and optimization on AWS
* Conduct architecture reviews ensuring solutions meet scalability, performance, security, and cost-efficiency requirements
* Mentor customer teams and junior ProServe consultants on AI best practices and AWS technologies
* Collaborate with data scientists, ML engineers, and software developers to translate AI models into production applications
* AI Solution Development: Design architectures for generative AI applications including RAG (Retrieval-Augmented Generation) systems, chatbots, and intelligent agents using Amazon Bedrock
* Architect real-time and batch AI inference pipelines with appropriate monitoring and observability
* Implement MLOps practices using SageMaker for model versioning, deployment automation, and continuous improvement
* Design solutions for responsible AI including bias detection, explainability, and governance frameworks
* Optimize AI application performance, cost, and resource utilization across AWS services
Knowledge Sharing & Thought Leadership
* Develop reusable assets, reference architectures, and best practice documentation
* Contribute to AWS ProServe knowledge base and customer-facing content

דרישות:
Basic Qualifications
- 10+ years of software development experience.
- 5+ years of machine learning, statistical modeling, data mining, and analytics techniques experience.
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies.
- Knowledge of programming languages such as C/C++, Python, Java or Perl.
- Master's degree in computer science, engineering, mathematics or equivalent, or experience in defining and creating benchmarks for assessing GenAI model performance.
- Understanding of various AI domains: NLP, computer vision, recommendation systems, predictive analytics.
- Willingness to travel to customer sites as needed.

Preferred Qualifications
- Certified Machine Learning Specialty or AI Practitioner or Generative AI - Associate.
- Contributions to open-source AI projects or published research.
- Experience with responsible AI frameworks, governance practices, and compliance requirements.
- Prior experience in ProServe, consulting, or systems integrati המשרה מיועדת לנשים ולגברים כאחד.

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8802053

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לפני 21 שעות

Senior AI Network Modeling Architect

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven AI Network Modeling Architect to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools.

In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network architectures, topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.

 

What you'll be doing:

Directly impact the architecture of our next generation AI and HPC offerings through modeling, simulation and analysis.

Deep dive into network behavior for training and inference use cases under advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the systems performance. Develop advanced simulation solutions while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

Requirements:
What we need to see:

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

5+ years of recent hands-on coding experience with strong proficiency in C++ and Python. You must be comfortable navigating, optimizing, and contributing to a complex, large-scale codebase.

End to end system perspective - capable of bridging the gap between hardware behavior, micro-architecture, and software performance (latency/throughput).

Project ownership capability with proven ability to lead technical initiatives, prioritize features, and manage project lifecycles autonomously with minimal supervision.

Ways to stand out from the crowd:

Strong background in communication networks technology. Deep understanding of Ethernet, NVLink, and/or Infiniband technologies, data center infrastructure, and network protocols.

Familiarity with discrete event simulators (e.g., OMNeT++, SystemC, or proprietary architectural simulators).

 Advanced degree or experience focusing on computer architecture, algorithms, networking, or distributed systems.

This position is open to all candidates.

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8836077

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לפני 21 שעות

Senior AI Network Modeling Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven AI Network Modeling Engineer to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools.

In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network architectures, topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.

What you'll be doing:

Directly impact the architecture of our next generation AI and HPC offerings through modeling, simulation and analysis.

Deep dive into network behavior for training and inference use cases under advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the systems performance. Develop advanced simulation solutions while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

Requirements:
What we need to see:

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

5+ years of hands-on coding experience with strong proficiency in C++ and Python. You must be comfortable navigating, optimizing, and contributing to a complex, large-scale codebase.

End to end system perspective - capable of bridging the gap between hardware behavior, micro-architecture, and software performance (latency/throughput).

Project ownership capability with proven ability to lead technical initiatives, prioritize features, and manage project lifecycles autonomously with minimal supervision.

Ways to stand out from the crowd:

Strong background in communication networks technology. Deep understanding of Ethernet, NVLink, and/or Infiniband technologies, data center infrastructure, and network protocols.

Familiarity with discrete event simulators (e.g., OMNeT++, SystemC, or proprietary architectural simulators).

Advanced degree or experience focusing on computer architecture, algorithms, networking, or distributed systems.

This position is open to all candidates.

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8836080

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04/09/2026

Data Engineer II - GenAI

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.

Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Requirements:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.

Minimum of 3 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.

You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.

You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)

Strong programming skills in languages such as Python and Java.

Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Experience with Data Warehousing and ETL/ELT pipelines

Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.

Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.

Experience of working on products that impact a large customer base - an advantage.

Excellent communication in English; written and spoken.

This position is open to all candidates.

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8809573

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1 ימים

Data Scientist

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.
What you will do:
Develop and improve models that analyze millions of videos and images every day across the web, Smart TVs, YouTube, Facebook, Twitter, Instagram, TikTok and more to detect the content categories they are about.
Work alongside experienced data scientists and engineers in a cutting-edge environment, contributing to advanced ensembles of models at huge scale.
Participate in the full development cycle - from research and experimentation through to deployment - gaining hands-on experience with production ML systems.
Leverage AI-powered tools and assistants as part of your daily workflow to accelerate research, coding, and analysis.
Help advertisers avoid negative or irrelevant content and target what's most relevant to their brand, keeping the web free for everyone.

Requirements:
B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, Physics, or a related technical field from a leading institution (or equivalent experience). M.Sc. is a plus.
0-2 years of industry experience (strong academic projects or internships count a must).
Strong data science fundamentals you understand experiment design, hypothesis testing, evaluation methodology, bias-variance tradeoffs, feature engineering, and know how to rigorously validate results. You think in terms of precision, recall, and data distributions, not just accuracy.
Familiarity with Computer Vision concepts (image classification, object detection, or similar) or NLP concepts (text classification, embeddings, language models).
Comfortable coding in Python with hands-on experience in at least some of: PyTorch, TensorFlow, scikit-learn, OpenCV.
Comfortable using AI tools in day-to-day work - you see LLMs, code assistants, and AI-powered workflows as force multipliers and already integrate them into how you code, explore data, and solve problems.
Eager to learn, take ownership, and grow into production-grade ML work.
A team player with good communication skills.

This position is open to all candidates.

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8834709

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04/09/2026

Senior Data Engineer I - GenAI Foundation Models

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspects-ensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.

Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Requirements:
Bachelors or masters degree in computer science, Engineering, Statistics, or a related field.

Minimum of 6 years of experience as a Data Engineer or a similar role, with a consistent record of successfully delivering ML/Data solutions.

You have built production data pipelines in the cloud, setting up data-lake and server-less solutions; ‌ you have hands-on experience with schema design and data modeling and working with ML scientists and ML engineers to provide production level ML solutions.

You have experience designing systems E2E and knowledge of basic concepts (lb, db, caching, NoSQL, etc)

Strong programming skills in languages such as Python and Java.

Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Experience with Data Warehousing and ETL/ELT pipelines

Experience in data processing for large-scale language models like GPT, BERT, or similar architectures - an advantage.

Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib - an advantage.

Experience with experimental design, A/B testing, and evaluation metrics for ML models - an advantage.

Experience of working on products that impact a large customer base - an advantage.

Excellent communication in English; written and spoken.

This position is open to all candidates.

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8809572

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Software Engineer, SONiC

חברה חסויה

Location: Tel Aviv-Yafo and Ra'anana

Job Type: Full Time

We are looking for a creative and motivated Software Engineer to join our SONiC open source NOS team. Our team is responsible for the design and integration of SONiC across our Networking products. In this role, youll have the opportunity to work on next-generation, high-speed networking solutions for AI data centers, contribute to open-source projects, and collaborate with experts across us and the broader SONiC community.

Youll help lead the development of new SONiC networking features and chassis management capabilities across our Networking products. Were looking for someone who enjoys solving complex technical challenges, learning quickly, and collaborating in a dynamic and diverse team environment.

What youll be doing:

Design, integrate, and deliver new features as part of the SONiC release train across our Networking products.

Develop networking and chassis management capabilities for next-generation platforms.

Work in a Continuous Deployment environment with fast development and deployment cycles.

Collaborate with experienced teams across our Networking and with members of the broader SONiC open-source community.

Develop high-quality, production-ready code that is published and reviewed in leading open-source environments.

Take ownership of features from design and implementation through integration and delivery.

Requirements:
What we need to see:

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

3-5 years of software development experience.

Understanding of networking concepts and protocols.

Experience with C++ and Python

Experience using AI development tools or building AI agents.

Strong technical problem-solving skills and the ability to learn new technologies quickly.

A collaborative mindset with strong communication and interpersonal skills.

Ways to stand out from the crowd:

Hands-on experience with L2 and L3 networking protocols.

Experience with SONiC, SAI, or other open-source networking projects.

Experience with Rust.

Familiarity with Linux and shell scripting.

Experience working with Scrum or other Agile development methodologies.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8835703

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המשרה הוחזרה לרשימת תוצאות החיפוש

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1 ימים

Senior Switch Silicon Security Architect

חברה חסויה

Location: More than one

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.

עדכון קורות החיים לפני שליחה

8835795

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