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לפני 2 שעות
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a Software Engineer specializing in ML Systems Engineering to join Finals Development department.

While vision and language models have become increasingly commoditized, Finals proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.

This is a pivotal role within Finals engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.
Requirements:
Requirements

B.Sc. with honors in CS/EE/Math/Physics, or a related field from a top-tier university.

5+ years of hands-on experience building and deploying large-scale deep learning systems in production.

Advanced proficiency in PyTorch/TensorFlow.

Preferred Qualifications :

M.Sc. or Ph.D. in a relevant quantitative field - Advantage.

Proficiency in Python/C/C++.

Deep, working knowledge of PyTorch internals.



Strong experience in several of the following areas:

Performance profiling and optimization of deep learning workloads.

Orchestrating and optimizing large-scale distributed training (hundreds to thousands of GPUs).

Optimizing model serving and inference pipelines (quantization, distillation, compilation, memory optimization, etc.).

Training and scaling state-of-the-art vision, language, or diffusion models.

Implementing custom CUDA/Triton kernels.
This position is open to all candidates.
 
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דרושים בMedtronic-MITG
Location: Tel Aviv-Yafo and Herzliya
Job Type: Full Time
At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. Youll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.
A Day in the Life:
In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis.
Medtronics Surgical Operating Unit is a new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With the Medtronic Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients.
Make your impact by exploring a career with the worlds leading Medical Device company, striving to alleviate pain, restore health, and extend life.
Join a growing Algorithm team at the forefront of AI innovation in real-time medical interventional procedures. In this role, you will tackle complex technical challenges, shape solutions with meaningful clinical impact, and help define the next generation of intelligent medical technologies. You will be part of an innovation-driven environment that encourages curiosity, bold thinking, and continuous learning, while working alongside talented and supportive people who are committed to both professional excellence and personal growth. Together, you will contribute to technology that has the potential to make a real difference in patients lives.
Responsibilities may include the following and other duties may be assigned:
- Lead a team of high-performing researchers to develop innovative algorithmic solutions that support and advance our medical device from the fields of Machine Learning, Computer Vision, and Image Processing
- Represent the algorithm team in global forums and communicate ongoing progress, key results, risks, and challenges to global stakeholders
- Lead the algorithm development lifecycle: research, design, implement, validate, document and optimize algorithms for our products
- Provide technical direction and mentorship to algorithm developers; conduct design/code reviews and ensure best practices and high-quality deliverables
- Partner with Data, Software, Systems, Clinical, and Product teams to define requirements, plan milestones, manage risks, and drive end-to-end delivery from prototyping to production
Requirements:
Required Knowledge and Experience:
- MSc. or PhD in Computer Science/Software Engineering/EE/other relevant field - MUST
- Proficiency and proven experience in developing, optimizing, validating, and deploying machine learning algorithms, deep learning techniques, and AI models to production
- Passion for continuous learning and staying updated on AI advancements and trends
- 7+ years of R&D experience (algorithms / ML), including ownership of end-to-end delivery
- Proven leadership experience (team lead / tech lead), including mentoring, prioritization, and driving execution across multiple stakeholders
- 3+ years of hands-on experience in Python (ability to lead by example with production-quality code)
- Team player with very strong leadership and communication skills; able to influence and align across R&D and cross-functional stakeholders
- Structured problem solver with sound technical judgment and data-driven decision making
- High ownership: able to plan, prioritize, and drive tasks end-to-end while unblocking others and managing risks
Physical Job Requirements:
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 
Benefits & Compensation:
Medtronic offers a competitive Salary and flexible Benefits Package
*
This position is open to all candidates.
 
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26/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for an exceptional Data Science Team Lead to spearhead the vision and evolution of our next-gen GenAI Co-Pilot. You will lead a team building a game-changing AI product that revolutionizes how users interact with our software - delivering real-time intelligence, deep investigative insights, and autonomous next-action guidance at scale.

You will:
Define the strategic AI roadmap across the system, serving as the core domain authority for cross-functional initiatives.
Architect next-gen capabilities by leveraging cutting-edge LLMs, GenAI, and autonomous agentic workflows to help analysts make critical, real-world decisions.
Oversee the end-to-end AI/ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.
Partner closely with international product, engineering, and architecture teams to drive high-quality, scalable solutions.
Join a team that fears no technology and constantly tests the boundaries of investigative power.
Requirements:
M.Sc. or higher in Computer Science, Mathematics, Engineering, or a related quantitative field.
7+ years of hands-on experience building and deploying ML/AI solutions in production, including 2+ years leading or growing a data science/ML team.
Proven experience designing and shipping GenAI-based product features and multi-agent systems using modern orchestration frameworks such as LangGraph, CrewAI, or AutoGen, including RAG, vector databases, and tool/function calling.
Practical experience with the agentic production stack: observability/eval tooling (e.g., Langfuse), durable workflow orchestration, and typed service design.
Strong foundation in classical machine learning - supervised/unsupervised methods, feature engineering, model evaluation - and sound judgment for when to use classical models over LLMs.
Advantage: Demonstrated experience fine-tuning and deploying small/large language models, including SFT and preference/RL-based methods such as GRPO or DPO.
Advantage: Experience with model optimization and efficient serving: quantization, pruning, LoRA/QLoRA, and high-throughput inference frameworks such as vLLM.
Advantage: Experience designing end-to-end ML pipelines (versioning, training/tuning, deployment, testing, monitoring) on cloud-native infrastructure (Kubernetes, GCP/AWS).
This position is open to all candidates.
 
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07/09/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.


Responsibilities
Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.
Requirements:
Qualifications:
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related technical field.
Experience in computer vision, efficient small language models, or related AI model development areas
Experience as a people manager or as a technical leader driving work across a team.

Preferred Qualifications:
Hands-on experience with computer vision systems deployed in production or resource-constrained environments.
Hands-on experience with model development, evaluation, optimization, compression and efficient inference for edge devices.
Experience bringing AI solutions from research or prototyping into production environments.
Experience working with MLOps, data pipelines, model lifecycle management, or production AI infrastructure.
Demonstrated ability to motivate people, create clarity, and drive execution.
High motivation, ownership mindset, strong collaboration skills, and the ability to influence across disciplines.
This position is open to all candidates.
 
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לפני 2 שעות
חברה חסויה
Location: Herzliya
Job Type: Full Time
Our unique research team is expanding, we are looking for smart and humble team members to join the team and solve complex problems. Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets. As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on our financial performance this is a great opportunity.

In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies.
Work with other team members to optimize our Algorithms.
Requirements:
Masters or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field.
5+ Years of experience of ML research/Deep Learning etc.
Experience with software engineering in Python (must) , C++/Rust is a plus.
Strong statistical analysis and mathematical skill.
A great team player eager to share/learn/teach other team members.
Creative, self-motivated, love complex problems, determined.
This position is open to all candidates.
 
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03/09/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a Senior Data Scientist to lead the development of machine learning solutions powering real-time decision-making and recommendation systems in industrial production environments.

This is a hands-on role with end-to-end ownership. You will be responsible for the full modeling lifecycle, from problem framing and data exploration to modeling, evaluation, deployment, and production impact. You will work with complex, noisy sensor and control data, building models that must be robust, interpretable, and reliable in real-world conditions.

You will collaborate closely with deep learning researchers, research engineers, and domain experts, and play a key role in shaping how data science is applied across the system.
Key Responsibilities


Design, develop, and evaluate machine learning models for real-time industrial applications
Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring
Translate ambiguous production challenges into well-defined data science problems
Lead feature engineering and data exploration on complex sensor and control datasets
Define KPIs, evaluation frameworks, and experimentation strategies
Ensure model robustness over time, including monitoring, drift detection, and continuous improvement
Work closely with data and research engineers to bring models into production
Drive best practices in modeling, validation, and reproducibility
Communicate insights, trade-offs, and recommendations clearly to stakeholders
Requirements:
B.Sc./M.Sc. in Computer Science, Statistics, Applied Mathematics, or related field
5+ years of hands-on experience applying machine learning in production environments
Strong Python skills and experience with ML libraries such as scikit-learn, XGBoost, LightGBM, or CatBoost
Proven experience with feature engineering, model selection, and evaluation in real-world scenarios
Strong statistical understanding and ability to reason under uncertainty
Experience working with messy, high-dimensional, or time-series data
Ability to independently own problems and drive them to production
This position is open to all candidates.
 
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23/08/2026
Location: Herzliya
Job Type: Full Time
We're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. We offer amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. The Embedded control team develop SW products that create the basic building blocks of the our system and deal with various fields - power conversion algorithmic, communication algorithmic, optimizations, rt problems on different platforms - DSPs, Companys ASIC and digital controlled power converters for photo-voltaic power systems. Our technological challenges focus on the following fields: power electronics, digital close loop control and Digital Signal Processing algorithms implemented on companys microprocessors. In this position, you will take part in developing advanced control algorithms and software for our state-of-the-art products.
What you will be doing:
* Learning the different aspects of our products by developing features in various areas and disciplines - power electronics, control theory, DSP and communication over different platform.
* Design, develop, optimizing, TEST and maintain complex and exciting Embedded SW for power electronics and control systems in a multi processors environment.
* Developing on various micro-controllers and dealing with various rt constraints.
* Ownership of a project/product from end to end- from concept and simulation, through development and integration and field deployment.
* Building complex simulations integrating SW and HW and working hand by hand with HW team.


Country:
Israel
City:
Herzliya
Requirements:
* B.Sc. or M.Sc. in Electrical Engineering from a university - MUST 1-2 years of experience in Embedded systems and power control firmware programming from the industry - MUST.
* Experience in programming in C / C ++ for Real-Time Embedded systems.
* Experience with control/power electronics, understanding of DC/DC, AC/DC, and inverter power conversion topologies.
* Experience with control algorithms (PID, model predictive control, or adaptive control).
* Understanding of ADCs, PWM generation, and communication interfaces (SPI, I2C, UART, CAN, etc.).
* Basic understanding of power electronics hardware (MOSFETs, IGBTs, gate drivers, inductors, etc.).
* Knowledge of debugging tools, compilers, and firmware development workflows.

We recognize our talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people. We are committed to seeking out and retaining the finest human talent to ensure top business growth and performance.
This position is open to all candidates.
 
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07/09/2026
Location: Herzliya
Job Type: Full Time
Power the Future with us!  we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. we offer amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. We are seeking a sharp, experienced Hardware team leader to lead the design of the digital and mixed-signal boards at the heart of advanced energy Storage products. This is a hands-on technical leadership role for an engineer with deep, real-world experience in the disciplines that make or break a mixed-signal design - grounding, EMI, robust communication, and accurate measurement - and, just as importantly, in how these are verified at the board and full- system level. What will you be doing:
* Leading the HW design of the digital and mixed-signal boards and products, from concept through mass production
* Owning the design of accurate measurements, robust communication, grounding, and power distribution - across the boards and at the system level
* Defining how these are verified and characterized, both on the bench and within the complete system
* Managing and growing the team - owning the team's tasks, design reviews, and timelines
* Leading several development projects in parallel, across all project stages up to mass production
* Working in a multidisciplinary environment and collaborating across departments and sites
Country:
Israel
City:
Herzliya
Requirements:
* B.Sc. in Electrical Engineering
* 7+ years of hands-on mixed-signal HW design, taken to mass production
* 2+ years of proven technical leadership and mentoring experience, ideally across distributed teams
* Deep expertise in precise analog measurement - accuracy budgeting, error sources, calibration - and in verifying accuracy at board and system level
* Strong command of grounding, return-path, and power-distribution design
* EMI/EMC design-for-compliance experience - designed in up front, not fixed late
* Working experience with communication protocols, such as CAN, SPI, I2C, UART, differential
* Experience designing protection circuits (overvoltage, overcurrent, short circuit)
* Knowledge of power electronics and DC-DC converters (Buck, Boost, Flyback, Forward)
* Proficiency in simulation tools such as LTspice, PSpice, or PSIM
* Strong problem-solving, debugging, and lab bring-up skills, with a systematic verification mindset
* Strong documentation skills - design reviews and product lifecycle management
* Strong command of AI tools and a demonstrated ability to leverage them to accelerate engineering work - analysis, documentation, scripting, and debugging Advantageous Qualifications:
* Experience with Battery Management Systems (BMS) or energy Storage technologies (Li-Ion, Solid State, etc.)
* Familiarity with functional safety concepts and safety standards for battery and energy Storage systems
* Understanding of thermal management in electronic designs
* Familiarity with regulatory compliance in electronics (CE, UL, etc.)?recognizes its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
We are looking for an electro-optics test engineer to join our growing Advanced Optics team in Herzliya. The Apple Camera Hardware Engineering group is responsible for the design, development, test, and qualification of camera hardware for Apple products; our team owns the end-to-end design, production, and testing of high-quality micro- and nano-optic components, including diffractive elements and metasurfaces. In this role you will own how we measure those components - developing new optical test setups, characterizing performance against design intent, and defining the metrology that carries a component from first prototype to mass production. The environment is collaborative and hands-on, spanning optical design, numerical simulation, precision measurement, and semiconductor fabrication.


Develop new optical test and metrology setups for metasurface and micro-optic components - from concept and prototyping through deployment on the bench and in the fab.
Operate and maintain new and existing test stations; build prototypes, fixtures, and measurement jigs.
Measure and analyze component performance, and correlate results to optical design and simulation and to product-level requirements.
Define methods, specifications, and acceptance criteria for both engineering builds and production.
Specify vendor test equipment and procedures; qualify vendor and in-line metrology; drive tool-to-tool and site-to-site correlation studies.
Support component bring-up, tolerance and robustness studies, and failure analysis.
Interface across design, process, product, and vendor teams to integrate components into our products.
Requirements:
Minimum Qualifications
Hands-on experience in optical metrology and characterization, such as interferometry, wavefront sensing, MTF/imaging quality, spectrophotometry, ellipsometry/scatterometry, diffraction-efficiency, polarization, or stray-light measurement.
Proven ability to design and build optical test setups from the ground up - sources, detectors, cameras, spectrometers, opto-mechanics, and precision alignment. Prototype- and fixture-building skills are essential.
Deep proficiency in lab automation and data analysis - instrument control and scripting (Python preferred), statistical analysis, and measurement-system analysis (e.g. Gage R&R, correlation and tolerance studies).
Solid understanding of physical and wave optics relevant to micro- and nano-optics - diffraction, polarization, and imaging. Familiarity with metasurfaces and nano-photonics is an advantage.
Experience specifying and qualifying vendor test equipment and procedures, and transferring measurement methods from engineering builds into high-volume manufacturing. Familiarity with semiconductor or MEMS components testing is an advantage.
Self-directed, collaborative, and eager to learn and grow within an experienced team.

Preferred Qualifications
B.Sc. or M.Sc. in Physics, Electro-Optics, Optical Engineering, Electrical Engineering, or a related field, with 5+ years of relevant industry experience; -or-
Ph.D. in one of the above fields with 2+ years of relevant industry experience.
Proficient verbal and written English.
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
We are looking for an experienced engineer to work on systems that bring together many moving parts. Inertial sensors, visual sensors, wireless radios such as UWB, Bluetooth, and Wi-Fi, GNSS, and on-device processing all come together here, and much of what these systems do emerges from the interaction between those pieces rather than from any one of them alone. Understanding that interaction is most of the work, and it is what makes the problems here genuinely interesting.

The role has two sides, and we mean both of them equally. You will help decide how a system is put together: where functionality should live, how the components talk to each other, and what we trade away to get what we need. You will also be the one who builds it, writing production code, bringing up new hardware, and chasing down the failures that only appear on real devices. We have found that these two things belong together. The best designs come from people who have built the system, and the best implementations come from people who understand the whole of it.

Responsibilities
Help define the architecture of multi-component location systems spanning hardware, firmware, and software, and implement the interfaces that hold them together.
Write, review, and maintain production-quality code in C++, Objective-C, and Swift for systems that ship to our customers.
Design and implement how inertial, visual, and wireless sensing come together into a system that behaves as one.
Integrate and bring up new hardware and software components, working through the problems that only surface on real devices.
Weigh the tradeoffs between accuracy, latency, power, memory, and reliability, and bring partner teams along with your reasoning.
Debug complex issues across the full stack, where the root cause could sit anywhere from the sensor to the application.
Take new technologies from early prototype through evaluation and into production, fusing them with our existing capabilities.
Collaborate with silicon, hardware, firmware, and algorithms teams from first concept through shipping.
Build the tooling and instrumentation that let us characterize how a system really behaves, with data rather than intuition.
Participate in evaluating new signals and technologies as our platforms continue to evolve.
Requirements:
Minimum Qualifications
At least 7 years of hands-on C++ or Objective-C programming experience, or in a comparable modern systems language such as Rust, with coding central to your day-to-day work.
Experience designing and implementing complex systems built from multiple hardware and software components with tight interaction between them.
Deep experience at the hardware/software boundary: sensors, radios, cameras, firmware interfaces, drivers, or timing and synchronization.
A track record of taking a system from concept to production, including integration and bring-up you performed yourself.
Know how to debug complex systems where the root cause is not localized
Deep understanding of software design paradigms and software development best practices.
Excellent collaboration and communication skills.
A passion for programming and building things.
BSc in Computer Engineering, Computer Science, Electrical Engineering, or equivalent experience. MSc in a relevant field a plus.

Preferred Qualifications
Experience with location, navigation, sensor fusion, or wireless positioning technologies.
Experience integrating and shipping visual sensing systems such as visual-inertial odometry or SLAM on real devices, including camera calibration and pipeline integration.
Experience with real-time or resource-constrained systems.
Experience with data analysis and results dashboards.
iOS, macOS, application, and/or Unix system development.
Swift programming experience.
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
We are looking for a physicist, electro-optical engineer, or computational-photonics researcher to join our growing Advanced Optics team in Herzliya. The Camera Hardware Engineering group is responsible for research, design, development, test, and qualification of camera hardware for our products; our team owns the end-to-end design, production, and testing of high-quality micro- and nano-optic components, including diffractive elements and metasurfaces. The environment is collaborative and hands-on, fostering engineering excellence and creativity across the interdisciplinary boundary of optical design, numerical simulation, optimization, and semiconductor fabrication methods.

Drive all phases of development of high-performance micro-/nano-optic elements - from initial concept, through prototyping, to high-volume manufacturing.
Develop, validate, and extend in-house simulation and design tools.
Conduct optimization, verification and tolerance analysis studies.
Partner with vendors to develop and fine-tune fabrication processes.
Define optical testing strategies for both prototypes and high-volume manufacturing.
Interface across a broad range of teams and disciplines to integrate components into our products.
Requirements:
Minimum Qualifications
Advanced expertise in Physical-optics simulation, including: RCWA, FEM, FDTD.
Experience with metasurfaces and nano-photonics is an advantage.
Deep proficiency in Scientific programming, scripting and data analysis.
Proficiency in Python is preferred. Experience with GenAI is an advantage.
Deep understanding of optics, physical wave optics and ray optics.
Proven skills in Multi-objective optimization and inverse design.
Familiarity with semiconductor and MEMS fabrication.
Self-directed, collaborative and eager to learn and grow within an experienced team.

Preferred Qualifications
M.Sc. or Ph.D. in Physics, Electro-Optics, Optical Engineering, Electrical Engineering, or a related field, with 4+ years of relevant experience
Proficient verbal and written English.
This position is open to all candidates.
 
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