דרושים » הנדסה » Senior Algorithms Engineer

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משרה בלעדית
לפני 18 שעות
חברה חסויה
Location: More than one
Job Type: Full Time
A leading medical company is looking for Senior Algorithms Engineer.
This role is a senior individual-contributor position within the Physics team.
Supports physics, algorithms, calibration, and image quality activities.
Requirements:
*M.Sc. or Ph.D. in Physics, Medical Physics, Biomedical Engineering, Electrical Engineering, Applied Mathematics, Computer Science, or related field.
*At least 5 years of relevant professional experience
*Strong experience in at least two of the following: CT physics, algorithms, calibration, image quality
Experience with data analysis, measurements, and technical investigations
*Strong analytical and problem-solving skills
*Hands-on experimental capability
* Python and/or MATLAB
*Fluent in English; Hebrew - advantage
Advantage Experience:
*Experience with medical imaging systems
*Phantom-based testing, artifact analysis, beam hardening, detector / non-uniformity correction, reconstruction support tools
*Experience in regulated medical devices - advantage
This position is open to all candidates.
 
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משרה בלעדית
לפני 15 שעות
Location: More than one
Job Type: Full Time
Senior Application Algorithm Developer to join a multidisciplinary and innovative team.
The role includes:
Development of advanced applications and algorithms for X-Ray based systems
Physics-based analysis, data modeling, and system optimization
Troubleshooting complex multidisciplinary systems and improving performance
Working closely with customers, including installations, calibration, validation, and Technical Support
Delivering technical demonstrations and training
Translating customer needs into practical technical solutions
Collaboration with R D, engineering, and application teams
International travel as required
Requirements:
M.Sc. in Physics, Engineering, or related field (Ph.D. - advantage)
5+ years of experience in metrology, spectroscopy, or similar analytical domains
Hands-on experience with XRF systems or similar instrumentation - strong advantage
Strong understanding of X-Ray physics, signal processing, and optimization techniques
Experience with data analysis, modeling, and reporting
Programming experience in Python and/or MATLAB - advantage
Excellent analytical and problem-solving skills
Strong communication skills and ability to work in a cross-functional environment
Self-driven, proactive, and adaptable mindset
This position is open to all candidates.
 
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8670541
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משרה בלעדית
לפני 18 שעות
חברה חסויה
Job Type: Full Time
We are looking for a Director of Physics to join the R D and Product Development team, leading the physics domain in the development of advanced optical systems.
Job Description
Lead and mentor a team of physicists across R D and product development.
Drive the development of advanced optical and opto-electronic systems.
Guide key technical decisions involving optics, imaging, sensors, and illumination technologies.
Oversee simulations, experiments, validation, and testing activities.
Solve complex technological challenges and deliver innovative physics-based solutions.
Collaborate with multidisciplinary teams, customers, and leading optics industry partners.
Requirements:
PhD or MSc with a relevant thesis in Applied Physics, Electro-Optics, or a related field.
Strong background in optics - mandatory.
Proven experience in leading and managing a physics or R D team.
Broad technological exposure and experience working in multidisciplinary environments.
Experience in the semiconductor equipment industry - an advantage.
Experience with optical simulation tools (e.g., Zemax, LightTools) - an advantage.
Background or familiarity with AI and data -driven approaches - an advantage.
This position is open to all candidates.
 
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Location: Haifa
Job Type: Full Time
Required Lead Clinical Applications Engineer
Job Description Summary
The Lead Clinical Applications Engineer is a role within R&D, focused primarily on new product introduction and continuous improvement of post-market PET‑CT imaging systems and related software. The role provides clinical and application expertise to product and engineering teams, ensuring solutions meet clinical needs, deliver strong image quality and quantification, and perform reliably in real‑world use.
Working closely with R&D, system engineering, product management, service, and field teams and customers, this role translates clinical needs, customer feedback, and usage insights into practical system and software improvements, while supporting resolution of complex clinical and application‑related issues.
Job Description
Lead Clinical Applications Engineer - PET‑CT R&D
Key Responsibilities
Serve as a clinical reference for PET‑CT applications and workflows within R&D programs.
Support investigation of selected complex customer or field issues, translating findings into actionable inputs for product improvement.
Interface with product, software, algorithms, system engineering, hardware, UX, service, and field organizations as needed.
Translate clinical use cases and user needs into system and software requirements in collaboration with engineering teams.
Support design and validation of PET‑CT applications, reconstruction methods, and workflow solutions.
Provide clinical input to decisions impacting image quality, quantification accuracy, dose, and user experience.
Participate in evaluation of AI‑enabled PET‑CT features, supporting clinical validation and performance claims.
Contribute to usability, clinical validation, and regulatory‑related documentation as required.
Requirements:
Bachelors degree in Biomedical Engineering, Medical Physics, or related field.
4+ years of experience in clinical applications, R&D, or system engineering in medical imaging (PET‑CT, Nuclear Medicine, or CT)
Solid understanding of medical imaging physics, reconstruction, quantification, and clinical workflows.
Experience working effectively in cross‑functional, collaborative environments, including product, engineering, field teams and end users.
Strong analytical skills and experience with quantitative image evaluation.
Proficiency with modern digital and AI‑based tools for analysis and productivity.
Strong communication skills in English and Hebrew.
Preferred Qualifications
Masters degree in Biomedical Engineering, Medical Physics, or related field.
Hands‑on experience with commercial PET‑CT systems.
Exposure to AI‑driven imaging or advanced reconstruction solutions.
Experience in global or matrixed R&D organizations.
This position is open to all candidates.
 
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05/07/2026
חברה חסויה
Location: Haifa
Job Type: Full Time
We are looking for a Physicist to join our Computed Tomography (CT) R&D team in Haifa, part of the DMS organization. In this role, you will contribute to the research, development, optimization, and validation of next‑generation detector technologies that power advanced CT systems. This position offers the opportunity to work at the intersection of physics, engineering, and medical imaging driving innovation that directly impacts product performance and patient outcomes.
Your role:
Be actively involved in the development and evaluation of CT detector concepts and components.
Model and characterize key detector performance parameters, including spatial resolution, noise, dynamic range, spectral response, stability, and dose efficiency.
Design and execute experiments to assess detector behavior under laboratory and system-level operating conditions.
Analyze imaging data and detector signals using quantitative methods to identify performance limitations and improvement opportunities.
Collaborate with hardware, electronics, software, reconstruction, systems, and manufacturing teams to translate physics requirements into technical specifictions.
Support prototype integration, verification testing, root-cause analysis, and performance troubleshooting.
Support Service and Production detection related investigations.
Develop test methods, technical reports, verification protocols, and documentation for internal and regulatory use.
Stay current with scientific literature, emerging detector technologies, and industry trends.
Requirements:
MSC or PhD in Physics, with a strong advantage for experimental Physics.
Experience in experiment design, and quantitative performance analysis.
Proficiency in data analysis and scientific programming using tools such as MATLAB or Python.
Demonstrated ability to interpret complex technical data and communicate conclusions clearly.
Proficiency in English.
Advantages :
Background in radiation detection physics, x-ray interactions, and CT imaging principles.
Experience working in cross-functional research and development or product development environments.
Experience working in a regulated environment (medical devices preferred).
This position is open to all candidates.
 
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05/07/2026
Location: Haifa
Job Type: Full Time
we are looking for a Senior R&D Process Development Engineer.
As a Senior R&D Process Development Engineer , you will play a key role in a multidisciplinary engineering team driving the design, development, and launch of next‑generation manufacturing platforms that enable future CT detector technologies. You will work closely with design and hardware teams to translate breakthrough concepts into scalable, automated production processes that deliver reliability, precision, and manufacturability at scale.
Your role:
Team Collaboration: Work as a key member of the R&D process team to develop, test, and implement automated assembly solutions for future products.
Process Development: design and optimization of new automatic assembly lines, specifically for high-precision CT detector modules.
Hands-on Implementation: Support the integration and fine-tuning of Die Attach systems and Epoxy/solder Dispensing processes within the R&D lab and pilot lines.
DFM Support: Participate in design reviews to provide DFM (Design for Manufacturing) insights, ensuring that new detector designs are optimized for assembly.
Technology Evaluation: Assist in benchmarking and testing new manufacturing technologies and equipment to determine their feasibility for future product lines.
Validation & Documentation: Execute DOEs (Design of Experiments) and document process characterization as part of the teams effort to meet medical regulatory standards.
Requirements:
B.Sc. in Mechanical or Materials Engineering or B.Sc. in Physics (MSc - advantage).
7+years of experience in process development of detectors assembly.
Experience working with Automatic Assembly systems.
Practical experience with Die Attach and Epoxy/Adhesive Dispensing.
Strong understanding of DFM/DFA principles.
A strong team player with an analytical mindset, comfortable working on long-term, innovative R&D projects where solutions aren't always "off-the-shelf."
Fluent English (written and verbal) for communication within a global organization.
This position is open to all candidates.
 
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05/07/2026
חברה חסויה
Location: Haifa
Job Type: Full Time
As a Principal Quality and Reliability Engineer, you will play a crucial role in ensuring Annapurna Labs' semiconductor products meet customer demands. Your responsibilities will include leading all Q&R activities for one of our IC product lines, chart the technical direction, build and lead a team of Q&R engineers, direct work with Annapurna's customers to jointly debug failures and reduce IC related failures, and support RMA analysis.
In this role you will have significant impact on, and be completely exposed to, the semiconductor production flow of all Annapurna Labs products, semiconductor testing methodologies and FAB process yield improvement activities.
This is a fast-paced role where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' overall performance, quality, and cost.
Requirements:
Basic Qualifications
- B.Sc. degree (M.Sc. or Ph.D. an advantage) in Electrical Engineering, Applied Physics, Materials Science or related fields with practical work experience.
- Experience in semiconductor quality & reliability test definition, execution and analysis.
- Experience in leading a team of IC quality and reliability engineers.
- Deep knowledge in semiconductor physics, VLSI IC design, manufacturing, testing and FA, reliability engineering and statistics fundamentals.
- Good knowledge of semiconductor fabrication process.
- Experience in IC and system-level testing and debug.

Preferred Qualifications:
- Familiar with semiconductor industry production flows.
- Experience working with OSATs (Outsourced Semiconductor Assembly and Test) and ODMs (Original Design Manufacturers).
- Opportunity to relocate in the future (US).
This position is open to all candidates.
 
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02/07/2026
חברה חסויה
Location: Haifa
Job Type: Full Time
The Senior Optical Systems Engineer will have responsibility for working closely with the test cell development team to understand test hardware software and algorithms. The candidate will develop optical test instrumentation architecture for emerging markets within semiconductor test. Instrumentation may include laser sources, polarizers, optical fibers and connectors, optical sensors, photo-diodes, along with motion systems, cameras, and image-analysis software. As a member of the Silicon Photonics Engineering team, you will be a key player delivering test solutions and deployment at customers sites. You will be working closely with the customer engineers, Teradyne engineering and applications engineering to ensure on-time delivery.



Derive system requirements by interacting with customers to define requirements for new optical test products
Develop test methods for lab and production verification
Develop experimental setups with optical instrumentation
Work within cross-discipline teams to develop innovative products
Requirements:
Bachelors degree in Optical Engineering, Physics or related discipline; masters degree is preferred
10+ years experience in optical engineering with a focus on developing innovative technical solutions and getting products to market
Experience with optical instrumentation such as tunable lasers, optical spectrum analyzers, switches and splitters, PM and SM fiber based system, polarization synthesizers, optical attenuators and more
Experience with photonics devices - both silicon photonics based fabricated devices and of the shelf components
Semiconductor testing knowledge is preferred
Knowledge of related technical fields such as mechanical engineering, motion systems, materials science, electronics, software, and semiconductors
Broad technical curiosity and highly versatile in multiple optical technologies
Demonstrated ability to tackle complex technical challenges and develop innovative solutions
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
Required Senior SOC Quality and Reliability Engineer, Cloud
You will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
In this role, you will work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. You will be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Our data centers are the most advanced in the world. In this role, you will help build the state-of-the-art SoCs that power these data centers by driving quality and reliability processes from the Integrated Circuit perspective. You will have an opportunity to create silicon and follow it into the field and back to drive improvements for the next-generations of chips.
As a part of this role, you will have an understanding of Integrated Circuit (IC) flows, wafer processing, testing, qualification, yield, reliability, and failure analysis. You will work with various cross-functional teams to develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute and test plans. You will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams within the larger organization.The AI and Infrastructure team is redefining whats possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
Responsibilities
Drive the strategic definition and development of Design-for-Reliability (DfR) guidelines, collaborating with cross-functional subject matter experts to integrate reliability into early design stages.
Define and lead the development of qualification hardware and test methodologies, managing internal teams and external vendors to ensure silicon and package verification.
Execute comprehensive silicon and package qualification programs (including high-temperature operating life (HTOL), early life failure rate (ELFR), electrostatic discharge/latch-up (ESD/LU), biased highly accelerated stress test (b/HAST), etc.) and conduct in-depth failure analysis to resolve quality issues.
Extract and analyze data from qualification programs, high-volume manufacturing, and field returns to identify failure mechanisms and trends for yield and reliability optimization.
Develop and implement physics-based statistical quality and reliability models (including early life failure (ELF), time-dependent dielectric breakdown (TDDB), and negative bias temperature instability (NBTI)) to predict device failure mechanisms and lifetime behaviors.
דרישות:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Materials Science, Physics, or a related field, or equivalent practical experience.
10 years of experience in IC silicon quality or reliability.
Experience leading the product reliability life-cycle from post-tapeout through high-volume manufacturing.
Experience working with semiconductor Complementary Metal-Oxide-Semiconductor (CMOS) technology, device physics, and failure mechanisms.
Preferred qualifications:
Master's degree in Electrical Engineering, Materials Science, or related field.
Expertise in statistical data analysis using tools such as JMP, Python, or JSL.
Familiarity with Electrical Failure Analysis (EFA) and Physical Failure Analysis (PFA) techniques.
Proven track record with silicon reliability on process nodes and advanced packaging technologies.
Deep knowledge of Design-for-Reliability (DfR) rules and implementation techn המשרה מיועדת לנשים ולגברים כאחד.
 
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Location: Haifa
Job Type: Full Time
Join our company's REM (Road Experience Management) department - the team driving the automatic creation of High-Definition maps, a cornerstone technology behind our company's autonomous driving and advanced driver-assistance systems.
REM map creation leverages cutting-edge algorithms executed at massive scale using Big Data technologies, requiring both a deep understanding of the map creation pipeline and strong technical expertise.
You will be part of our Priority Semantics algorithmic team, focused on understanding right-of-way rules and interactions derived from traffic signs, road structures, and driving behavior.
The team uses cutting-edge technologies, including Graph Neural Networks (GNNs) and data-driven learning techniques, to model complex driving scenarios and extract meaningful insights from large-scale real-world driving data.
This role requires a deep understanding of the data itself, modeling complex semantics, and extracting insights using learning-based approaches to accurately represent real-world driving priorities.
What will your job look like?
Design, train, and evaluate cutting-edge deep learning models on REM proprietary map data
Perform high-scale, large-volume data analysis
Integrate new map-based algorithms with full ownership
Develop tools that enable fast and effective data introspection
Optimize models and results where needed.
Requirements:
3+ years of industry experience, including at least 1 year of experience in machine learning
MSc in Computer Science, Electrical Engineering, or a related engineering field
Strong experience in Python
Familiarity with numerical and data science frameworks such as NumPy, Pandas, SciPy, PySpark, TensorFlow, and PyTorch
Linux knowledge and some familiarity with AWS
A get it done approach and a flexible mindset
Experience working with AI agents or coding assistants (e.g., Copilot) - an advantage
Familiarity with Graph Neural Networks (GNNs) - an advantage.
This position is open to all candidates.
 
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
Required SOC Quality and Reliability Engineer, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Our data centers are the most advanced in the world. In this role, you will help build the SoCs that power these data centers by driving quality and reliability processes from the integrated circuit perspective. You will create silicon and follow it into the field (and back) to drive improvements for the next generations of chips.
You will have an understanding of IC flows, wafer processing, testing, qualification, yield, reliability, and failure analysis. You will work with various cross functional teams to develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute and test plans. Within the larger organization you will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams.The AI and Infrastructure team is redefining whats possible. We empower our customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
Responsibilities
Drive the strategic definition and development of design-for-reliability (DfR) guidelines, collaborating with cross-functional subject matter experts to integrate reliability into early design stages.
Define and lead the development of qualification hardware and test methodologies, managing internal teams and external vendors to ensure silicon and package verification.
Execute comprehensive silicon and package qualification programs (including high-temperature operating life (HTOL), early life failure rate (ELFR), electrostatic discharge/latch-up (ESD/LU), biased highly accelerated stress test (b/HAST), etc.) and conduct failure analysis to resolve quality issues.
Extract and analyze data from qualification programs, high-volume manufacturing, and field returns to identify failure mechanisms and trends for yield and reliability optimization.
Develop and implement physics-based statistical Quality and Reliability models (e.g., ELF, time-dependent dielectric breakdown (TDDB), negative bias temperature instability (NBTI) to predict device failure mechanisms and lifetime behaviors.
Requirements:
Minimum qualifications:
Bachelor's degree in Electrical Engineering, Materials Science, Physics, or a related field or equivalent practical experience.
8 years of experience in IC silicon quality or reliability.
Experience leading the product reliability lifecycle from post-tapeout through high-volume manufacturing.
Experience with semiconductor complementary metal-oxide-semiconductor (CMOS) technology, device physics, and failure mechanisms.
Preferred qualifications:
Master's degree in Electrical Engineering, Materials Science, or related field.
Expertise in statistical data analysis using tools such as JMP, Python, or JSL.
Knowledge of design-for-reliability (DfR) rules and implementation techniques.
Familiarity with electrical failure analysis (EFA) and physical failure analysis (PFA) techniques.
Track record with silicon reliability on process nodes and advanced packaging technologies.
This position is open to all candidates.
 
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