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our SW group is looking for a strong system-level software developer to join our team and work on complex, high‑performance software systems that drive a multidisciplinary semiconductor metrology tool.
In this role, you will develop software that interacts closely with hardware components such as motion controllers, optical and laser subsystems, sensors, cameras, and additional field devices.
You will work across the full software stack of the tool, from low-level hardware interfaces through sequence control and up to the UI and reporting layers.
The environment is highly technical, involving deep system‑level thinking, close collaboration with system engineers, and end‑to‑end ownership of features from design to implementation.
This is a hands-on engineering role with a strong focus on end-to-end ownership, system-level thinking, and close collaboration with system engineers.
You will be expected to design and deliver complex features from concept through integration and validation in a production environment.
This role is ideal for an software engineers with strong analytical capabilities, solid object‑oriented design skills, and a passion for building robust, scalable systems that combine software and hardware.
Responsibilities:
Design and develop system-level software components for a complex multidisciplinary semiconductor metrology tool
Implement software features end‑to‑end, from design discussions with system engineers through development, integration, and full validation
Develop software that interfaces with optical systems, lasers, motion control subsystems, sensors, and other hardware components
Contribute to system architecture, technical design reviews, and key engineering decisions
Investigate and resolve production‑level issues using strong debugging and analytical skills
Work closely with system engineers, developers, QA, Product, and additional cross‑functional stakeholders
Take ownership of tasks, deliver independently, and help drive engineering excellence and best practices

We are seeking an experienced RF Systems Engineer to lead the RF domain within the hardware team, for the development of advanced communication systems.
This role includes full professional ownership of RF and antenna domains across the company- from architecture definition, through hands-on development and testing, to integration and technological leadership.
This is a key position with deep involvement in hands-on development, intended for an engineer with extensive practical experience, strong technical leadership skills, and attention to detail.
Job Description:
Professional leadership of the RF domain within the hardware team
Hands-on design and development of RF systems for advanced communication systems
Design, simulation, and optimization of antennas and antenna arrays
Definition of RF architecture and communication chains
Integration, calibration, RF testing, and hands-on troubleshooting in the lab
Daily work with advanced RF equipment, including measurements and performance analysis
End-to-end responsibility for RF system performance
Cross-functional work with hardware, software, mechanical, and algorithm teams
Technological leadership and professional support for development teams
Work with vendors and subcontractors in RF and antenna domains.

We are seeking Senior Software Program Manager
Meet the Team
Silicon One leads ASIC design for next-generation network devices, shaping the future of networking in the AI/ML era with industry-leading silicon solutions. Our technology delivers high speed, programmability, power efficiency, and scalability while supporting Open Standards, Open Networking, and cloud data centers.
As part of the Silicon One team, you will work alongside talented engineers and innovative customers to build world-class products. The team spearheads SDK development for multiple generations of our ASIC families, enabling advanced networking capabilities across diverse platforms.
Your Impact:
You will lead sophisticated, multi-functional programs spanning silicon development, firmware, and system delivery, driving execution from initial concept through production. You will collaborate with engineering and operations teams to deliver high-quality solutions, craft effective processes, and ensure strategic alignment across the organization.
Specific Responsibilities include:
Driving end-to-end program execution for the Silicon One ASIC software ecosystem, including integration with industry-leading network operating systems.
Serving as a key interface for New Product Introduction (NPI) programs for next-generation Silicon One devices.
Leading cross-functional alignment across engineering teams in a globally distributed environment.
Owning program schedules, milestones, dependencies, risk management, and executive communications.
Partnering with software engineering leaders to ensure tight hardware/software co-development and integration.
Liaising with our internal business units and customers to collect requirements and manage prioritization across competing stakeholder interests.
Driving accountability for outcomes while working through influence in environments with high ambiguity, rapid change, and ambitious timelines.

The Nitro core software team develops solutions for the Nitro System-on-Chip (SoC). As a part of our team, you will design, implement, and maintain CI/CD pipelines and automated testing infrastructure for Nitro core software. You will develop and optimize continuous integration and delivery workflows using frameworks such as Jenkins and internal CI/CD pipelines, ensuring reliable and efficient build, test, and deployment processes.

Key job responsibilities
The role includes:
CI/CD Infrastructure Development - Building, maintaining, and improving automated testing pipelines using Jenkins, internal CI/CD frameworks, and related DevOps tooling to enable fast, reliable, and repeatable test execution.
Test Automation Engineering - Developing test scripts, frameworks, and automation solutions for Nitro embedded systems, applying software testing methodologies to ensure quality at scale.
Debugging & Root Cause Analysis - Diving deep into failures across the CI/CD pipeline and embedded software stack, performing systematic debugging, log analysis, and root cause investigation to resolve complex issues and improve system reliability.
Infrastructure as Code - Managing test environments, build configurations, and deployment automation using scripting and DevOps best practices.
Collaboration - Working directly with Nitro core software teams, participating in code reviews, incident triage, and troubleshooting activities to continuously improve development velocity and product quality.
AI-Assisted Development - Leveraging AI-based tools and assistants (e.g., Amazon Q, Copilot, LLM-based analysis) to accelerate test development, failure triage, and code generation workflows.
This role offers hands-on experience in DevOps engineering and test infrastructure for embedded systems, allowing you to apply academic knowledge to practical, production-scale projects. This position provides an excellent opportunity to gain industry experience in CI/CD practices, enhance technical and operational skills, and build a foundation for a career in DevOps, embedded systems testing, and infrastructure engineering.

In this role, you will be shaping the future of our companys AI software stack for Neural Processing Units (NPUs). You will lead software architecture, define performance-critical components, and enable efficient execution of advanced neural networks under tight power, memory, and latency constraints.
You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of our company NPU embedded solutions, actively promoting our company AI capabilities to the customers.
We are seeking a high-impact motivated Software Architect to join our team and help shape the future of our advanced neural network AI Software Toolchain over our companys AI computing processors.
Responsibilities
Lead Software Architecture specification and supervise design for the most advanced Software Toolchain handling state-of-the-art Neural Processing Unit operation.
Design and promote holistic software solutions incorporating various aspects of NPU handling: from network retraining, graph compiling and network inference execution on the embedded systems.
Collaborate proactively with Product, Architecture, VLSI and Software teams to promote software leadership over various markets and compute SoCs.
Explore and translate state-of-the-art neural network and AI applications requirements into software architecture flows, encompassing hardware, software, tools and other components.
Evaluate architecture proposals, internal and external IP features and provide influential and inspirational leadership across hardware and software to align all parties to a common vision of architecture & technology development.
Represent our company with high technical credibility in customer meetings, appropriately incorporating feedback.
Boost velocity of development teams by providing technical guidance and by constantly looking ahead to anticipate and resolve future challenges.
Conduct experiments, invent and drive development of supporting tools such as simulators, models, profilers, and other methods as required.
Engage with engineering leadership and product planning stakeholders to develop technology roadmap.

In this role, you will be a key contributor to the design and implementation of our companys Edge AI software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling efficient execution of advanced neural networks under tight power, memory, and latency constraints.
You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of our company NPU embedded solutions, actively promoting our company AI capabilities to the customers.
What will you do:
Own and design key components of the Edge AI software stack for NPU-based systems.
Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.
Collaborate on HW-SW co-design, influencing NPU architecture.
Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.
Mentor junior engineers and contribute to technical best practices.

We are looking for System Software Engineer to help define, shape, and integrate advanced solutions for the next generation of our cloud platforms.

Join our dynamic System Software team in creating innovative software solutions that power our product development lifecycle from conception to deployment. You'll develop critical tools that ensure product excellence across design, validation, manufacturing, and production environments


Key job responsibilities
Design and develop software tools for all product development stages (card level, rack level).
Collaborate with hardware engineers, firmware developers, and system architects.
Create and maintain debugging tools and utilities
Develop comprehensive documentation and provide training for tools.
Optimize testing and validation processes for coverage, speed, efficiency, and resource utilization.
Research and implement new technologies to enhance the testing ecosystem.
Support critical system troubleshooting and issue resolution.
Participate in design reviews and provide technical guidance on testability.

We are looking for an experienced, creative with an exceptional mathematical thinking and highly motivated C++ Team Leader for Machine Learning & Computer Vision implantation, to join our top-notch software group.

In this position, you will lead a team of developers designing and implementing high-performance DSP, Image Processing, Deep Learning and Computer Vision algorithms, using the most advanced technology such as the newest Nvidia platforms, advanced C++, and modern development procedures and tools.

The team works intensively with the algorithms engineering teams, converting algorithms, and making them suitable to be used on real-time system.

The Fraud Lead is the principal technical authority for fraud detection and response engine. You own the professional logic that powers our product, ensuring that the "Brain" of our platform is technically cohesive, scientifically rigorous, and market-leading.
You act as a System Architect for the fraud domain, connecting the dots between Research, Data Science, and Analytics. Crucially, you serve as the primary technical consultant for our customers, helping them understand, integrate, and optimize the fraud logic that protects their environments. You work alongside a separate Product group (who defines the roadmap) and a Platform Engineering group (who builds the infrastructure).
What youll do:
Technical Domain Architecture
Logic Blueprinting: Design the end-to-end technical logic for detection features-from telemetry ingestion to real-time response actions.
Cross-Team "Glue": Ensure that Fraud Research insights are effectively operationalized by the Data Science team and surfaced correctly by the Analytics team.
Architecture Governance: Set the technical standards for how detection logic is built, ensuring it is scalable and compatible with the Platform Engineering teams infrastructure.
Customer Fronting & Technical Advisory
Technical Subject Matter Expert: Act as the lead technical consultant for high-value customers. You will lead "deep-dive" sessions with client-side engineers and fraud experts to explain our detection methodologies and data requirements.
Integration Strategy: Advise customers on how to best leverage our technical logic within their specific business contexts.
Feedback Loop: Translate complex customer technical needs and "edge case" fraud patterns back into technical requirements for the internal fraud group.
Expert Implementation
Hands-on Prototyping: Remain an expert practitioner in Python and SQL. You will prototype new detection methodologies and perform technical validation of production models.
Quality & Observability: Design the technical frameworks that ensure our detection logic remains performant and observable in live customer environments.

As a Product Designer on the Realize Design team in our Tel Aviv office, youll play a key role in shaping the next generation of AI-assisted advertising experiences. Youll design complex workflows that help advertisers create, optimize, and make decisions with confidence - balancing automation, transparency, and user control. Working at the intersection of product strategy, systems thinking, and AI behavior design, youll help define how intelligent experiences are integrated across the platform.
This is a temporary position for Maternity Leave Replacement.
How youll make an impact:
Own end-to-end design flows, from discovery and concept exploration to final UX and post-launch iteration
Design AI-assisted workflows and experiences that help advertisers create, optimize, and make decisions with confidence
Shape how AI guidance, automation, and intelligent product behaviors are integrated across the platform
Collaborate closely with Product Managers, R&D teams, analysts, and business stakeholders to define product direction and user experiences
Simplify complex, data-rich workflows into intuitive and scalable user experiences
Use user insights, research, and product data to continuously improve experiences and drive better outcomes for advertisers.

The Yield Team is looking for an experienced Backend Developer who views security as a core feature, not an afterthought. In this role, youll drive growth in the digital asset space by architecting and integrating Digital Asset Yield protocols.
We handle the worlds most valuable assets, and our work demands a security-first engineering culture. You will collaborate with industry leaders to deliver innovative, native products-ranging from decentralized lending to institutional staking-where the safety of customer funds and the integrity of protocol interactions are the highest priorities. Join us to shape the future of the digital assets space by building resilient, trustless solutions for asset optimization.
What Youll Do:
Architect for Resilience: Design and implement scalable backend systems hardened against the complex attack vectors inherent in Digital Asset Yield environments.
Secure Protocol Research: Deep-dive into new blockchain technologies, smart contracts, and liquidity protocols, identifying potential vulnerabilities or risks before integration.
Integrate AI for Enhanced Security & Optimization: Explore and deploy AI/ML-driven solutions to automate the detection of security anomalies, optimize capital efficiency, or enhance the operational resilience of core yield services.
Mission-Critical Engineering: Solve hard engineering problems where precision is paramount; youll ensure that seamless interactions with Digital Asset Yield products never come at the cost of asset security.
Lead by Example: Champion secure coding practices within the team, participating in rigorous code reviews and threat modeling for all financial logic.

Alma, a Sisram Medical company, is a global leader in medical-aesthetic technologies, with over 25 years of experience in energy-based devices (EBD). Over the years, Alma has evolved into an integrated aesthetic and wellness ecosystem that combines medical devices, injectables, diagnostics, and personalized skincare. The company operates in a dynamic, innovation-driven environment, merging advanced technology with deep clinical understanding to create holistic solutions for aesthetic clinics. Alma’s headquarters are in Caesarea, Israel, with business operations in more than 100 countries worldwide. Key Responsibilities A. Risk Management – Mandatory / Top Priority
* Perform and maintain risk management activities according to ISO 14971 across the full product lifecycle.
* Develop, update, and maintain Risk Management Files (RMF), including:
* Perform FMEA (all types)
* Hazard identification
* Risk analysis and risk evaluation
* Risk control measures and mitigation strategies
* Residual risk assessment
* Benefit–risk analysis
* Lead and actively participate in risk analysis activities and meetings (e.g. FMEA, FTA, Hazard Analysis).
* Ensure technical risks specific to energy-based systems are properly identified, documented, and controlled, including (HW, SW, Clinical etc.):
* Verify, document, and maintain evidence of risk control effectiveness.
* Integrate design data, design/engineering changes, service feedback, complaints, and post?market information into ongoing risk evaluations.
* Provide risk-related input for:
* New design project
* Design changes and product modifications
* CAPAs
* Product improvements
* Regulatory submissions and updates
* AE – Adverse Events
* PMS activities B. Regulatory, PMS & Adverse Event Responsibilities (Core Responsibility)
* Perform post?market surveillance (PMS) activities in accordance with global regulatory requirements, including data collection, analysis, and documentation.
* Conduct adverse event (AE) and complaint assessments, including:
* Initial assessment and classification
* Support and execution of investigations
* Risk evaluation and impact assessment on product safety and performance
* Reporting to regulatory authorities
* Ensure integration of AE, complaint, service, and PMS data into risk management files, maintaining continuous risk evaluation.
* Perform trend analysis of complaints, adverse events, and post?market data to identify safety signals, emerging risks, or systemic issues.
* Prepare and maintain PMS documentation, including contribution to and preparation of PSURs, with clear linkage to risk management outputs.
* Participate in and support regulatory assessments and submissions.
* Ensure all PMS, AE, and risk-related documentation is accurate, traceable, and audit?ready.
* Participate in internal and external audits related to risk management, vigilance, and PMS activities.

Subsidiary:
Alma LTD

AppSec is the cloud security platform for developers. By leveraging automation and delivering security-as-code, AppSec empowers teams to find, fix, and prevent security risks in application code and infrastructure as code.
We are looking for a talented Backend-oriented engineering manager who is excited about cloud and code security, new technology and architecture, about building something new that will become a core part of the product offering, and about high-performance large-scale systems. We are looking for someone who is not afraid to create, challenge and change processes to improve the way things are while balancing important new features that are time-sensitive.
Your Impact
You will have a major role in the development of core parts of our product, making our product a one-stop-shop for tools that help developers avoid security mistakes. You will also help the team continue to build the product, grow and develop your people.
Leading a team of software developers, focusing on the products core.
Working with your counterpart PM to define the scope and phases that will help to achieve the best effort vs value balance
Leading design review sessions, identifying technical bottlenecks and overpowering features when obstacles are discovered
Join the development life cycle and be hands-on
Introducing and improving the engineering practices on the team - from planning to retrospective - from testing and CI/CD to design principles
Hiring the best talent for the team, as the team is expected to continue growing.
Build a collaborative team and personal development plans for each team member.

We are seeking a motivated MSc student to join our R&D team as a Machine Learning Engineer focusing on medical image processing (CT, MRI). In this role, you will support the development and optimization of deep learning models for image segmentation and analysis, leveraging U-Net and 3D U-Net architectures.
This is a hands-on opportunity to work on real-world clinical data and contribute to next-generation solutions for diagnostic and procedural planning workflows.
How you will make an impact:
Model Development:
Assist in designing and implementing deep learning models for medical image segmentation using U-Net, 3D U-Net, and nnU-Net frameworks.
Support optimization of models for volumetric CT/MRI datasets.
Data Handling & Processing:
Develop preprocessing pipelines (normalization, augmentation, resampling).
Integration & Experimentation:
Support integration of models into research pipelines using tools like MONAI and 3D Slicer.
Run experiments, evaluate model performance, and document results.
Collaboration:
Work closely with engineers, data scientists, and clinical teams.
Participate in technical discussions and contribute ideas for improving model performance.
Research & Innovation:
Stay updated on state-of-the-art methods in medical imaging AI and segmentation.
Explore improvements in model architecture and training strategies.