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We are looking for an Algorithms Engineer who will handle the design and implementation of the automotive imaging radar Algorithms stack.
What will you do?
Be part of the team that defines and scales up our radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond
Consistently improve our radar performance
Design, develop and implement Radar data analysis methodology
Be a knowledge source for automotive radar KPIs
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others.

Responsibilities
Support the maintenance and organization of the Design History File (DHF) documentation.
Assist in completing documentation required for product releases in compliance with FDA, CE, ISO, and internal procedures.
Provide administrative support for design control activities throughout the product development lifecycle.
Support documentation related to software validation and traceability.
Assist in preparing documentation for audits and regulatory submissions.
Ensure documentation is accurate, complete, and properly filed in internal systems.

Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.

In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.

Key Responsibilities
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support.
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems.
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models.
Promote best practices in development, experimentation, and code quality.

we are looking to hire a talented Verification Engineer to join our VLSI group in Tel Aviv.
You will work alongside other talented engineers to develop our cutting-edge AI chips. If you are motivated and skilled in VLSI and excited about AI, we want to meet you!
Responsibilities:
Collaborate with architecture and design teams to define and implement comprehensive testcases for NN processor and SoC blocks and flows.
Maintain, enhance, and scale the UVM‑based verification environment to support efficient and robust verification.
Own end‑to‑end verification of system flows to ensure the design is fully functional, correct, and meets performance expectations.
Drive root‑cause analysis and debug across RTL, testbench, and system layers to ensure high‑quality design closure.
Define, track, and close functional and performance coverage to guarantee verification completeness.
Continuously improve verification methodologies, automation, and workflows to increase productivity and coverage efficiency.

we are looking for a Image Processing Algorithms Engineer.
You will be responsible for defining end-to-end solutions for image signal processing algorithms, both classical and deep learning-based, from the algorithm level to the system level. You will bring your own hands-on expertise, as well as technical leadership, to see these solutions come to life from inception to full implementation.
You will design ISP components and take them from proof-of-concept to production, pushing image quality to a cutting-edge level. You will survey both academic literature and product-grade solutions, then design and implement dedicated solutions optimized for embedded HW. In addition to striving for best possible image quality, you will be responsible for leading the end-to-end implementation via collaboration with SW and HW implementation teams, targeting deployment to Vision Processor.
Responsibilities:
Serve as a domain expert in the field of image enhancement for video cameras. In particular, you will serve as the technical focal point for your projects, owning and leading the end-to-end technical aspects, while collaborating with external partners, internal teams, other algorithms engineers and cross-functional experts.
Translate high-level product requirements to system ISP building blocks and drive R&D efforts to implement them.
Implement proof-of-concepts, based on both your own ideas as well as taking ideas from publications, and carrying these from theory into practice that fits product requirements.
Evaluate and test your solutions considering both image quality and overall system behavior, benchmarking against existing solutions and baselines. Iterate and improve in order to reach superior results or a better quality/performance tradeoff.

We are seeking a highly motivated Image Quality Engineer to join our VPU system team. You will be responsible for evaluating and improving camera image quality across AI ISP and vision pipelines, with a strong focus on real-world customer scenarios. The role combines hands-on lab work with IQ measurement tools, together with close collaboration with our ISP, algorithm, and customer-facing teams to deliver excellent image quality from internal demos through customer evaluations and product integrations.
Responsibilities:
Analyze image quality metrics (Sharpness, Noise, Color accuracy, Exposure, Dynamic range & Motion blur)
Collaborate with software and algorithm teams to tune image signal processing (ISP) parameters for optimal performance.
Provide image quality support for customer demos and evaluations, working directly with customers to resolve IQ issues.
Provide feedback and recommendations to improve camera performance across different lighting and scene conditions.
Document test procedures, results, and tuning iterations.
Operate and maintain IQ lab setups, including lighting environments, test charts, and measurement tools.

we are looking for a Senior Optical Engineer.
As a Senior Optical Engineer, you will lead the development of ultra-compact, high-precision micro-optical systems for cutting-edge medical devices. You will transform novel optical concepts into manufacturable designs, driving innovation from prototype to production.
Key Responsibilities:
Design and develop optical systems and components for medical devices.
Conduct simulations, tolerance analyses, and experimental validations to ensure optimal performance and manufacturability.
Collaborate with cross-functional teams-including mechanical, electrical, and software engineers-to integrate optical systems into complete product platforms.
Develop and implement optical testing strategies to validate system performance and reliability.
Analyse data from experiments and prototypes to refine and optimize optical designs.
Ensure compliance with industry standards, regulatory requirements, and internal quality protocols.
Document design processes, test results, and technical findings, and share insights to support innovation and continuous improvement.