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We are looking for an ML Engineer to join a research-oriented group developing physics-informed neural networks for advanced sensing and optical measurement systems. The role focuses on training, validating, and improving neural network models that combine data-driven learning with physical modeling, simulation, and experimental measurements.

Responsibilities
Develop, train, and evaluate neural network models for physics-based sensing and reconstruction tasks.
Incorporate physical knowledge into ML models through data generation, model architecture, loss functions, constraints, or regularization.
Work with simulated and experimental datasets, including data. preprocessing, augmentation, validation, and error analysis.
Build robust training pipelines using Python and modern ML frameworks such as PyTorch.
Compare model predictions against ground-truth data from simulations, optical experiments, or measurement systems.
Collaborate with physicists and optical engineers to understand underlying physical models and translate them into ML workflows.
Analyze model performance, identify failure modes, and improve generalization from simulation to real-world data.
Design experiments to evaluate model robustness, sensitivity, uncertainty, and accuracy.

The system engineering team is responsible for developing, integrating, and building advanced sensing systems, combining cutting-edge modules with advanced algorithms across multi-disciplinary domains: electro-optical components, unique physical models, bio-mechanical considerations, mechanical and electrical trade-offs, dedicated SW & FW, large-scale data analysis, and classic and ML-based algorithms.

Responsibilities
Own the complete system life-cycle - from Proof-Of-Concept through preliminary design, detailed architecture, module builds, testability, and delivery to mass-production.
Risk mapping and mitigation activities.
Define data collection requirements.
Signal analysis and trade-off mapping.
System optimization.
Collaborate with multiple HW and SW teams to analyze and optimize overall system performance.
Define and track system specifications.
Lead multi-disciplinary teams to deliver reliable, high-performance system features.

As an ASIC STA Engineer, you will have responsibilities spanning all aspects of SoC design in terms of timing.
Key responsibilities include timing sign-off, STA and sign-off flow development, ownership of Full chip, IP, and block level timing constraints both for regular and custom timing requirements from synthesis to sign-off to achieve sign-off quality timing constraints.
You will closely interact with RTL designer to understand design intent and clock structure, with CAD to understand and develop flow, and with Physical design team to close and sign-off timing. You will also come up with ideas and plans to verify your own timing constraints. You will innovate timing constraints and flow to facilitate timing closure and any potential pessimism or fall outs in timing analysis.

We are looking for a talented and curious ML Data Scientist to join our growing Machine Learning team in Herzliya.

In this role, you will help create the full data lifecycle that underpins our models: from designing what data we collect, through curation and quality monitoring, to running rigorous experiments that drive model improvements. You will work closely with other ML and Data Engineering teams to ensure our models are trained on the best possible data, reaching the best accuracy, and that we deeply understand when and why they don't perform as expected.
Responsibilities
As an ML Data Scientist on this team, you will play a central role in shaping the data that powers our ML models. You will:
Investigate model failures - identify patterns, hypothesize root causes, and work with the team to implement fixes
Own data curation: evaluate, clean, and curate datasets to maximize model training quality
Design and execute experiments end-to-end: from defining the question and data collection escort, through analysis and statistical validation, to presenting clear conclusions and driving implementation
Define data collection strategies - collaborate with others to decide what data we should be collecting and why
Design and maintain monitoring solutions with others to ensure ongoing data quality and integrity at scale

We are looking for a highly motivated, mid-to-senior level Electro-Optical Engineer to join our Hardware Engineering organization. In this role, you will be the optical cornerstone of a multi-disciplinary team, driving the development of next-generation electro-optical modules that define our future products.

You will work in a fast-paced, highly collaborative environment, sitting at the critical intersection of core optics, testing methodologies, mechanical engineering, and high-volume manufacturing. This role requires a unique blend of deep optical design intuition, hands-on lab expertise, and the leadership to drive global suppliers. Your work will directly impact millions of users globally by enabling breakthrough optical technologies.

If you are passionate about pushing the boundaries of physics, spending time in the lab to prove your concepts, and partnering with top-tier global vendors to bring elegant designs to mass production, we want to hear from you.


Lead optical architecture and development of compact electro-optical modules, including simulations (Zemax, CodeV, LightTools) for imaging, sensing, and system performance.
Define test plans, characterization methodologies, and calibration protocols for both R&D and factory environments.
Own bench-level validation - build custom test setups and characterize prototypes across key optical metrics (MTF, stray light, radiometric efficiency).
Serve as the primary technical contact for global optical suppliers and CMs, with regular travel to oversee factory bring-up, qualify production lines, and drive failure analysis.
Produce high-quality technical documentation, including component specs, SOPs, FA reports, and executive summaries.
Collaborate cross-functionally with ME, EE, and Firmware teams to integrate optical modules within thermal, structural, and electrical constraints.

The Imaging and Sensing group develops Depth and Image Sensing systems, including the groundbreaking True Depth camera that powers FaceID and the recently released LiDAR scanner.
This multidisciplinary team of ground breaking engineers is responsible for the architecture, design, development, and validation of these highly complex sensing systems, tailored for our products.

We are looking for a student position to join our caSystem Validation team to collaborate on advanced electro-optical system development.


Contribute to a core technology team designing, developing, and validating advanced solutions for our future products.

Conduct characterization, test, and validation aspects of our cutting-edge sensing systems, spanning from early lab prototypes to complete system maturity.

Design and implement complex lab-based experiments, followed by thorough analysis supported by simulations.

Develop and execute lab automation for products evaluation.

Conduct data-driven analysis to support decision-making processes.

We are hiring an Operations Systems Specialist!
 We are seeking an Operations Systems Specialist to join our Production Operations team, managing core and peripheral systems. The role focuses on system administration, including process execution, quality controls, user permissions, and data table maintenance, while collaborating closely with internal and external interfaces. Key Responsibilities:
* Perform daily system administration tasks, including process monitoring and execution.
* Conduct system controls, manage user permissions, and maintain/update system tables.
* Ensure high system reliability and troubleshoot operational issues.
* Work closely with multiple internal departments and external interfaces. Location: Bnei Brak.

We are looking for a Software Engineer (C++) to join our low-level team to build high-performance solutions for analyzing and processing RAW photos and other media.

You will help develop cross-platform tools that combine low-level engineering and image processing, playing a key role in the companys core offerings.

Come help shape a product with real ownership and impact potential, and contribute to the future of AI-powered photography and videography workflows.


Responsibilities
Design, develop, and own end-to-end software solutions using modern C++, alongside Python and web technologies.
Create proofs of concept and rapidly prototype new technologies and product capabilities.
Write automated tests and optimize software for reliability, performance, and efficiency.
Collaborate with cross-functional engineering teams to build and deliver new tools and solutions.

We are looking for a deep learning engineer experienced with computer vision to join our DL algorithms Team. We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets.


Responsibilities
Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
Create proofs of concept for new products and technology.
Evaluate and benchmark different algorithms for unique, proprietary datasets.
Collaborate with team members to define future technology and features.

Lead the Product Management function across multidisciplinary development teams, driving best-in-class product ownership methodologies from concept to launch. Act as the strategic commercial bridge between global field teams and R&D, evaluating business needs for ROI and strictly enforcing R&D intake phase-gates to manage WIP limits. Own and author the Product Requirements Document (PRD) & Marketing Requirements Document (MRD), seamlessly translating complex clinical and business workflows into definitive technical product specifications. Drive usability engineering and human factors testing (IEC 62366-1) specifically tailored for complex medical aesthetics devices Cross-Functional Collaboration with system Engineering, Hardware, Software, V&V, Clinical and Regulatory teams to ensure product vision is executed without scope & feature creep. Play a pivotal role in shaping innovative, broad, and technologically advanced medical products. Ensure alignment between product management and regulatory/clinical/quality requirements. Recruit, mentor, and manage a high-performing team of Product Managers / Product Owners as the department scales Standardize product management frameworks, methodologies (for PRDs/MRDs), and lifecycle processes within the R&D division