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חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are seeking an experienced and highly motivated Data Center Manager to lead the planning, operation, growth, and strategic development of our global lab and data center infrastructure. This role combines technical leadership, operational excellence, team management, and long-term capacity planning to support the company's rapid growth and evolving technological needs. Reports To: VP Global IT
The ideal candidate will bring extensive experience in large-scale data center environments, strong networking expertise, and a proven ability to lead teams and manage multiple sites while ensuring high availability, efficiency, and scalability.
Key Responsibilities
Leadership & Team Management
Partner with lab customers to define long term infrastructure roadmaps, anticipate future needs, and align lab growth with business and engineering objectives.
Lead, mentor, and develop a team of data center and lab engineers.
Establish operational standards, processes, and best practices across all lab locations.
Drive a culture of accountability, innovation, and continuous improvement.
Manage resource allocation and prioritize activities to meet business objectives.
Data Center & Lab Operations
Oversee the day to day operation of company labs and data center facilities.
Ensure high availability, reliability, and operational excellence across all environments.
Maintain real time visibility into lab status, capacity, utilization, and health.
Monitor infrastructure components, resource consumption, and workload distribution across the labs.
Provide ongoing operational reporting and status updates to management.
Strategic Planning & Capacity Management
Define and execute the long term growth strategy for the company's lab and data center infrastructure.
Forecast capacity requirements and proactively plan infrastructure expansion.
Monitor utilization trends, workload distribution, and resource consumption.
Optimize infrastructure allocation to maximize efficiency, performance, and scalability.
Develop forward looking plans to support upcoming projects and business initiatives.
Infrastructure Expansion & Projects
Lead the design, deployment, and commissioning of new data centers and lab facilities.
Plan and manage expansion projects for existing sites.
Coordinate infrastructure initiatives across multiple locations and stakeholders.
Ensure projects are delivered on time, within scope, and aligned with business needs.
Manage infrastructure lifecycle planning, including upgrades, replacements, and capacity enhancements.
דרישות:
Must Have
10+ years of experience in data center operations, infrastructure management, or related fields.
Strong hands-on expertise in networking technologies and large scale network infrastructures.
Proven experience managing teams of at least 10 employees in a global company.
Experience managing multiple data center or lab locations simultaneously.
Demonstrated success in capacity planning, infrastructure growth, and operational management.
Experience leading data center construction, expansion, or large scale infrastructure deployment projects.
Strong project management and execution skills.
Excellent leadership, communication, and stakeholder management capabilities.
Ability to operate effectively in a fast-paced, high-growth technology environment.
Nice to Have
Experience with liquid cooling technologies and next-generation data center cooling solutions.
Experience building or operating high density AI, HPC, or large scale compute environments.
Familiarity with infrastructure monitoring, automation, and orchestration platforms.
Experience managing global lab environments supporting R&D and product validation activities.
Success Metrics
High availability and operational stability across all lab and data center environments.
Accurate capacity planning and proactive infrastructure scaling.
Efficient workload balancing and optimal המשרה מיועדת לנשים ולגברים כאחד.
 
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31/08/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

What You'll Do:
Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives.
Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.
Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security.
Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization.
Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
Enhance the team's dev-ops capabilities.
Requirements:
Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
2+ years of proven experience developing large-scale software using an object-oriented or functional language.
5+ years of professional experience in data engineering, focusing on building and maintaining data pipelines and data warehouses.
Strong experience with Spark, Scala, and Python, including the ability to write high-performance, maintainable code.
Experience with AWS services, including EC2, S3, Athena, Kinesis/Firehose Lambda and EMR.
Familiarity with data warehousing concepts and technologies, such as columnar storage, data lakes, and SQL.
Experience with data pipeline orchestration and scheduling using tools such as Airflow.
Strong problem-solving skills and the ability to work independently as well as part of a team.
High-level English - a must.
A team player with excellent collaboration skills.

Nice to Have:
Expertise with Vertica or Redshift, including experience with query optimization and performance tuning.
Experience with machine learning and/or data science projects.
Knowledge of data governance and security best practices, including data privacy regulations such as GDPR and CCPA.
Knowledge of Spark internals (tuning, query optimization).
This position is open to all candidates.
 
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Location: Ra'anana
Job Type: Full Time
As the R&D Technical Project Manager you will lead large-scale, multidisciplinary programs developing Neural Network Processor (NPU) and AI IP products.

You will lead cross-functional engineering teams (30+ engineers) across architecture, algorithms, VLSI, embedded software, SW tools, and systems, ensuring seamless execution from Product Requirements Document (PRD) to production-ready delivery for leading SoC makers and OEM customers.

You will also act as the primary interface between customers, product team , and internal R&D teams , balancing technical leadership, strategic execution, and organizational excellence in a global, multi-site environment.

Responsibilities

Be accountable for successful planning and delivery, in quality, on time under budget, of all R&D programs & products in the AI Division, covering architecture, algorithms, hardware IP, embedded software, SW tools, and integration tasks.

Accountable for the definition and deployment of the AI Division Program development processes.

Program Planning and Execution

Own end-to-end planning and delivery for complex AI processor IP programs that include hardware design, embedded SW, and SW development tools.

Build and manage integrated schedules across RTL, verification, firmware, drivers, toolchain, and documentation.

Drive execution across concepts, design, verification, bring-up, and customer release phases.

Manage program POR, program priorities, and change control process.

Track dependencies between IP architecture, firmware readiness, SDK/toolchain availability, and customer enablement deliverables.

Define and manage program KPIs: schedule, quality metrics, and customer satisfaction.
Requirements:
B.Sc./M.Sc. in Electrical Engineering or Computer Science.
10+ years of experience in SoC or semiconductor product development (hardware and software).
5+ years of experience managing complex HW/SW R&D projects with teams exceeding 30+ engineers.
Proven experience leading full lifecycle product development - from concept and architecture to mass production.
Hands-on experience managing R&D programs for Neural Network Processor (NPU) including coordination across data science, graph compiler, compiler, simulation architecture and hardware.
Strong proficiency in project management methodologies, planning tools, and metrics-driven execution.
Exceptional organizational, communication, and leadership skills across global, multi-site environments.
Highly motivated, independent, and capable of balancing technical depth with strategic oversight.
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Ra'anana
Job Type: Full Time
We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.
Requirements:
12+ years in software engineering or QA, with 5+ years in engineering leadership at the Director level or senior Staff+ with direct reports
Deep hands-on background in test automation architecture - you've built frameworks from scratch, not just inherited them
Proven track record leading performance engineering at scale (10,000+ concurrent users, distributed systems, cloud-native environments)
Experience shipping or operating AI/ML systems and understanding the unique quality challenges they introduce
Prior success managing multi-team orgs with both IC engineers and architects (10-40+ total headcount)
Enterprise software domain experience strongly preferred (SaaS, CCaaS, fintech, or similar high-uptime/regulated environments)
AI & Technical Acumen
Working knowledge of LLM capabilities and limitations relevant to software testing (prompt engineering, RAG, agentic workflows)
Experience evaluating or integrating AI coding assistants (GitHub Copilot, Claude, Cursor, or equivalents) in engineering workflows
Comfort with statistical testing concepts: model drift detection, data validation, behavioral testing for non-deterministic outputs
Proficient in at least one scripting/programming language (Python, TypeScript, Java) and modern CI/CD tooling
Familiarity with observability and APM tools (Datadog, Grafana, Dynatrace, New Relic)
Leadership
Exceptional communicator - able to translate deep technical concepts into executive-level strategy and roadmaps
Strong organizational influencer who shapes culture and engineering standards beyond your direct org
Data-driven decision maker: you measure quality outcomes, not just activity.
This position is open to all candidates.
 
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26/08/2026
חברה חסויה
Location: Ra'anana
Job Type: Full Time
Required Senior Data Engineer
Full-time
Company Description:
A dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.
Responsibilities:
Design and maintain scalable data pipelines with Spark Structured Streaming.
Implement Lakehouse architecture with Apache Iceberg.
Develop ETL processes for data transformation.
Ensure data integrity, quality, and governance.
Collaborate with stakeholders and IT teams for seamless solution integration.
Optimize data processing workflows and performance.
Additional Information:
Location: Ra'anana
Requirements:
5+ years in data engineering.
Expertise in Apache Spark and Spark Structured Streaming.
Hands-on experience with Apache Iceberg or similar data lakes.
Proficiency in Scala, Java, or Python.
Knowledge of big data technologies (Hadoop, Hive, Presto).
Experience with cloud platforms (AWS, Azure, GCP) and SQL.
Strong problem-solving, communication, and collaboration skills.
This position is open to all candidates.
 
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