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We are looking for an outstanding Research Team Lead with deep hands-on expertise in large-scale distributed systems, AI framework infrastructure, and performance optimization on custom accelerators. If you are a visionary technical leader, a skilled communicator, and a team builder who thrives at the frontier of systems and AI research - you're welcome on board.
What Will You Be Doing?
Lead and grow a world-class team of researchers and engineers working on distributed AI infrastructure and systems software
Architect and own the software infrastructure enabling distributed training and inference on Huawei's custom accelerator hardware (e.g., Ascend NPU)
Drive research and development on communication libraries, runtime systems, memory management, and graph execution & synchronization at scale
Optimize end-to-end performance across large-scale clusters, covering both scale-up (multi-device) and scale-out (multi-node) configurations
Design and implement high-performance communication backends and collective operations (AllReduce, AllGather, broadcast) for distributed training workloads
Collaborate cross-functionally with hardware architects, compiler teams, and framework engineers to co-design hardware-software solutions
Publish and present research findings at top international venues (NeurIPS, EuroSys, SC, MLSys, OSDI) and represent the team externally
Mentor engineers and researchers, conduct performance and growth reviews, and shape team culture and technical direction
Partner with top academic institutions and open-source communities to advance the state of the art in distributed AI systems

V&V Engineer ensures that our products meet all system requirements, adhere to specifications, and deliver a high-quality, competitive solution that fulfills customer needs and expectations.

What will you do?
Serve as the Verification & Validation focal point for a dedicated program within an Agile team.
Conduct requirements and PBI analysis, as well as risk assessment and comprehensive test planning.
Design and execute tests at all levels - from software standalone to full system integration, including black box and grey box testing at the system level.
Define and develop automated tests to support both V&V and R&D activities.
Analyze, document, and report test results, ensuring accurate defect logging and tracking to resolution.
Monitor and follow up on defects and open issues through their full lifecycle.
Collaborate with development teams to provide actionable feedback, support fault isolation, and maintain high-quality data handoffs.
Identify and investigate cross-product issues and dependencies.
Support the Service and Field teams in resolving escalated customer issues and contributing to root cause analysis.

Job description
Systems Engineer to develop instruments and methods related to optical systems, color management, mechanical instrumentation, and measurements validation.

What will you do?
Contribute to the development of the companys systems and sub-systems (mechanics, pneumatic, electrical, electronics, control, software, chemistry, optics, etc.).
Work in a wide range of areas, innovate, and present work to our management.
Act as a design authority for a complete system or subsystems or fields within it.
Translate product requirements and field issues into engineering requirements and corresponding architectures​.
Evaluating alternative solutions, support development teams in a matrix structure (SW, mechanics, chemistry, electronics, etc).
Perform necessary calculations and simulations required for system development, manage technical risks​.
Setup integration and testing environments, develop and assembly of testing facilities and prototypes, and analyze results.
Set guidelines to the verification and validation process.
Lead root cause analysis processes.

What will you do?

Design and implement AI-driven automation workflows across business systems.

Build and maintain integrations using REST APIs and external services.

Develop and deploy RAG (Retrieval-Augmented Generation) pipelines.

Design and implement AI agents and multi-step automated processes.

Build MCP servers/tools or similar AI tool-integration frameworks.

Collaborate with business stakeholders to translate requirements into scalable solutions.

Monitor, evaluate, and improve AI system performance and reliability.

Ensure best practices in system design, security, and scalability.

Bookkeeper - Maternity Leave Replacement.

Reports to: Controller.

Location: Afek Industrial Park, Rosh Haayin.

Duration: 9-month maternity leave replacement.

What will you do?

Process and verify supplier invoices.

Perform supplier reconciliations and maintain AP ledgers.

Execute payments to suppliers (bank transfers).

Manage ongoing communication with suppliers and internal departments.

Handle discrepancies and resolve issues in a timely manner.

Participate in monthly closing processes and reporting.

We are seeking a hands-on highly skilled Engineer to join our Engineering team. This role is focused on solving system-level issues across NPI, manufacturing, and the installed base, while driving continuous improvement in product performance, test methods, integration processes, and overall efficiency.

What will you do?

NPI & Manufacturing Transfer:
Lead transfer of new products from R&D to manufacturing, ensuring production readiness and successful ramp-up.
Define and execute system integration, ATP , and manufacturing qualification processes.
Develop and implement production jigs, fixtures, test stations, and calibration procedures.

System-Level Support & Troubleshooting:
Lead deep-dive investigations into system-level failures or inefficiencies in production, integration, or field environments.
Own and resolve complex issues involving mechanical, electrical, pneumatic, and software interactions.
Introducing calibration, alignment, and test processes in the production line to improve productivity, stability and quality.

Installed-Base Support & Field Performance:
Act as a key escalation point for regional support teams dealing with recurring or critical system issues in the field.
Lead cross-functional task forces to resolve high-impact field failures.
Implement system upgrades and improvements that enhance reliability and performance across the installed base.

Continuous Improvement & Engineering Change Management:
Identify and drive opportunities to improve product robustness, usability, and serviceability.
Lead implementation of design or process changes based on insights from production data, field feedback, and historical lessons learned.
Lead Engineering Change Orders (ECOs), maintain product structure (BOM/product tree).

We are seeking an experienced and hands-on engineering leader
to drive product quality, reliability, and performance across NPI, manufacturing, and the installed base. The role serves as a technical focal point for complex multidisciplinary issues, leading investigations, task forces, and improvement initiatives that enhance product quality , manufacturing readiness, and customer satisfaction.

What Will You Do?

Product Quality and Reliability
Own product quality and reliability performance across NPI, manufacturing, and the installed base.
Define, monitor, and analyze quality metrics, reliability indicators, and field performance trends.
Consolidate quality and performance data from internal operations, contract manufacturers, and field systems into actionable insights and management dashboards.
Lead root-cause investigations and corrective/preventive actions (CAPA) for high-impact product and field issues.
Identify systemic issues, prioritize improvement opportunities, and drive cross-functional execution plans to improve product quality, reliability, and customer experience.

NPI, Manufacturing & Installed Base Support
Drive quality and reliability readiness throughout NPI, validation, and production ramp-up activities.
Lead investigations into complex production, integration, and field failures involving multidisciplinary system interactions.
Partner with Manufacturing, Service, Operations, and Supply Chain teams to improve product stability, serviceability, and operational performance.
Drive implementation of calibration, alignment, validation, and test methodologies that improve quality, consistency, and manufacturing efficiency.
Support contract manufacturers and production teams in resolving critical technical and quality-related challenges.

Continuous Improvement & Change Management
Lead engineering improvement initiatives based on production performance, customer feedback, reliability data, and field experience.
Drive product robustness, manufacturability, serviceability, and lifecycle performance improvements.
Own execution of Engineering Change Orders (ECOs), product structure management, and change implementation through CCB processes.
Lead periodic product performance reviews and drive closure of improvement actions across functions.