Engineering Program Manager - Novel Sensing

לפני 1 שעות

Engineering Program Manager - Novel Sensing

חברה חסויה

Location: Herzliya

Job Type: Full Time

We're looking for an Engineering Program Manager (EPM) to lead a multidisciplinary program that takes a new sensing technology from research to product. The program covers HW, sensing, mechanical engineering, FW, SW, and ML. You will turn early research into a roadmap that can ship, and keep the teams aligned around one goal: a new kind of interaction experience for our users.
This is not a typical execution role. You'll work closely with researchers and engineers while driving and supporting execution. You'll know when to give exploration room and when to push toward productization. You'll be fluent in both scientific uncertainty and product discipline.

You'll be the central point of coordination for a program that moves through research, feasibility, prototyping, and product development at the same time. Working with world-class scientists, engineers, and ML experts in Israel and the US, you'll define the plan, make technical risk visible, and help leadership make clear decisions when the path forward isn't obvious. Along with engineering leadership, you'll be the face of the program.

Responsibilities
Build and own the program roadmap, from research milestones and feasibility checkpoints through prototype builds and productization.
Turn open-ended research questions into structured plans with clear hypotheses, success criteria, and decision gates.
Summarize research results into clear, data-driven findings and recommendations for executive audiences.
Keep a collaborative, transparent culture that respects research rigor and product urgency equally.
Align cross-functional teams across HW, physics, optics, mechanical, FW, ML/algorithms, data collection, and user experience.
Manage dependencies between ML workstreams, data collection, and HW development so learning cycles stay fast.
Run prototype and development builds with engineering teams, operations partners, and suppliers.
Spot technical and organizational risks early, and present them as strategic choices with mitigation paths.
Keep a collaborative, transparent culture that respects research rigor and product urgency equally.
Improve program methods to fit the needs of a research-to-product program.

Requirements:
Minimum Qualifications
B.Sc. in a STEM field (e.g., Electrical Engineering, Physics, Computer Science, Mechanical Engineering, Biomedical Engineering).
10+ years of relevant experience, including significant engineering program management experience in HW or multidisciplinary product development.
Proven record of delivering complex programs that span HW, FW/SW, and algorithms.
Experience working directly with research teams and moving early-stage technology toward product.
Technical depth to engage credibly on details across domains while driving overall program execution.
Excellent communication and presentation skills, including the ability to summarize complex technical data for executive audiences.
Experience leading through influence in a matrixed, multinational environment.
Curiosity about AI tools and interest in applying them to engineering and program workflows.
Ability and willingness to travel internationally.

Preferred Qualifications
M.Sc. in a STEM field.
Background in workign on ML based technolgy and integration into products.
Experience with sensing technologies or physics-driven HW development.
Experience in consumer electronics or wearable devices.
Experience managing prototype builds and supplier engagements.
Comfortable with ambiguity and rapid iteration; self-motivated, calm under pressure, and creative in solving undefined problems.
Experience working across time zones with US-based teams.

This position is open to all candidates.

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8897326

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לפני 1 שעות

Engineering Program Manager - Machine Learning Features

חברה חסויה

Location: Herzliya

Job Type: Full Time

Play a part in shaping the future of human-computer interaction. We're looking for an Engineering Program Manager (EPM) to turn advanced machine learning in speech, audio and computer vision into features that ship to customers.
You'll work across ML research, data collection, silicon, FW, and the device and companion SW teams that bring these features to our customers. Your work will cover every stage, from the first dataset to the final release.

You'll own the plan for taking ML features from research to release. That covers data planning, model training and evaluation, optimization for our silicon, integration with SW teams, and release. You'll keep teams aligned, make risk visible early, and help leadership decide when model quality, performance and schedule pull in different directions. You'll be comfortable with how uncertain research is, and disciplined about delivering what ships.

Responsibilities
Own the delivery plan for ML features, from research and prototyping through integration, validation and release.
Partner with data teams to build the data strategy and plan, making sure it covers what the models need and supports program milestones: what data, at what scale and coverage, and by when.
Align model milestones with HW builds, pre-silicon validation (simulation and FPGA), and silicon bring-up, ensuring models are ready at each gate.
Lead integration with SW groups, including model handoff, interfaces, integration schedules and release timing.
Align ML teams, MLOps and data science on priorities, compute capacity and dependencies.
Track model quality, latency, memory and power against product targets, and lead trade-off decisions.
Set up model release practices: readiness gates, versioning, regression tracking and post-integration monitoring.
Summarize ML progress into clear, data-driven recommendations for leadership.

Requirements:
Minimum Qualifications
B.Sc. in Computer Science, Electrical Engineering, or a related STEM field.
8+ years of relevant experience, including significant engineering program management experience in SW or ML development.
Hands-on background as an ML engineer, researcher or data scientist.
SW Experience working with data teams to define data strategy and plans for ML programs, with a clear understanding of how data drives model quality.
Solid understanding of the ML lifecycle, with the technical depth to engage credibly with researchers and engineers.
Experience with HW NPI cycles (prototype builds, pre-silicon validation)
Using AI tools in daily work to improve productivity.
Excellent communication skills, including summarizing complex status for executive audiences.
Experience leading through influence in a matrixed, multinational environment.

Preferred Qualifications
M.Sc. or Ph.D. in a related field.
Experience with speech, audio or computer vision ML (e.g., ASR, voice isolation, video restoration).
Familiarity with large-scale data collection and annotation practices, including privacy considerations.
Experience with on-device ML and optimization for dedicated HW or neural engines.
Familiarity with MLOps practices: data pipelines, distributed GPU training, CI/CD for models.
Experience with platform SW release processes and working with US-based teams.
Comfortable with ambiguity, using AI tools in daily work, and calm under pressure.

This position is open to all candidates.

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8897339

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2 ימים

Camera Hardware System Engineering Program Manager

חברה חסויה

Location: Herzliya

Job Type: Full Time

As a Camera System Engineering EPM, you will:
Own and drive the execution of next-generation camera system programs across our product lines.
Collaborate with electrical, mechanical, optical, and software teams to deliver seamless and innovative imaging solutions.
Navigate ambiguity, solve complex system integration challenges, and lead programs from concept through launch.
Influence product and technology roadmaps by working closely with design, architecture, and operations teams.
Be the voice of the program-communicating milestones, risks, and vision clearly across executive and engineering leadership.
Thrive in a high-energy environment where every day brings a new challenge and a new opportunity to innovate.

Requirements:
Minimum Qualifications
3-5 years of experience as a Program Manager or System Engineer in the camera or imaging systems industry.
At least 3 years of hands-on firmware and hardware development experience, with a deep understanding of system integration and technical challenges.

Preferred Qualifications
Degree in Electrical Engineering, Computer Science, or Industrial & Management Engineering, ideally with an MBA, from a leading university.
Experience in a consumer electronics company or large global organization, with a proven ability to ship products at scale.
Strong leadership and communication skills-you inspire passion, rally teams, and drive accountability in a matrixed organization.
Understands and deals well with rapid development cycles; remains flexible and calm in the face of ambiguity.
Willingness to travel International frequently, to support development and manufacturing partners.
Comfortable attending late evening conference calls (2-3 times/week) with teams based in the U.S. West Coast
Fluent in English, both written and spoken.

This position is open to all candidates.

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8892492

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2 ימים

AI Research Engineer - Chip Design

חברה חסויה

Location: Herzliya and Haifa

Job Type: Full Time

As a member of our ML group, you will research and build AI systems that change how our silicon is designed. Many of these problems are still open: the right way to frame the problem isn't known yet, and the data is scarce or noisy.

We are looking for a strong researcher who enjoys working closely with design teams to turn open-ended questions into well-posed research problems, and who wants to see the results used in real projects. Success in this role means models and agents that measurably improve designed chip metrics (Power, Performance, and Area) and design turnaround. You will join a growing team of AI and software engineers working with our chip design teams.

Responsibilities
Research and develop AI methods for the physical design flow, from floorplanning and placement through routing and timing closure, combining predictive models, optimization, and generative AI.
Design and build agentic workflows that connect LLMs to EDA tools, design data, and internal infrastructure, to automate and speed up tasks such as flow setup, debug, design exploration, and analysis.
Work with design teams to turn open-ended problems into well-defined research questions with clear metrics, baselines, and success criteria.
Develop robust AI methods for limited, noisy, or imbalanced data, leveraging domain knowledge and advanced learning techniques.
Own data end to end: extract useful signal from EDA tool outputs and design databases, validate and clean it, and build datasets and benchmarks where none exist.
Run careful experiments and evaluations for both models and agents, and report clearly what works and what doesn't.
Work with software engineers and design teams to bring promising prototypes into production flows, and improve them based on feedback from real projects.
Help shape new research directions as our work grows, follow the AI and EDA literature, and bring relevant ideas to the team.

Requirements:
Minimum Qualifications
MSc with a research thesis, or PhD, in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
Research track record in which you led both problem formulation and execution, shown through peer-reviewed publications, a substantial thesis, or equivalent work.
Strong AI fundamentals and hands-on experience building, training, and evaluating deep learning models in Python (e.g., PyTorch).
Hands-on experience with generative AI, such as building and evaluating LLM-based applications or agentic workflows (e.g., tool calling, multi-agent orchestration, retrieval).
Experience getting reliable results from imperfect real-world data (small datasets, noisy labels, missing values, distribution shift), with sound judgment about when a result can be trusted.
Ability to work independently on loosely defined problems, and to explain technical results clearly to both AI specialists and hardware engineers.

Preferred Qualifications
PhD in AI, Computer Science, Electrical Engineering, or a related field
Publications at top-tier AI or EDA venues (e.g., NeurIPS, ICML, ICLR, DAC, ICCAD, MLCAD).
Familiarity with chip design flows such as physical design, place and route, and static timing analysis, or a strong interest in learning the domain in depth
Experience adapting foundation models (e.g., fine-tuning, distillation, preference optimization), building evaluation frameworks for agents, or deploying LLM systems in production.
Experience with one or more of: graph neural networks, Bayesian optimization, active learning, reinforcement learning, probabilistic modeling
Experience integrating AI models or agents into EDA tool flows through scripting (Python/TCL) or APIs.
Experience taking research into production, with solid software engineering practices.

This position is open to all candidates.

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8892480

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29/10/2026

Senior Signal/Image Processing & Machine Learning Engineer - Sensing Technologies & Real-Time Models

חברה חסויה

Location: Herzliya and Haifa

Job Type: Full Time

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

Requirements:
Minimum Qualifications
Strong foundation in signal processing, image processing, computer vision, machine learning, and deep learning.
Hands-on experience with sensing technologies (e.g., camera/image sensors, depth, radar, LiDAR, IMU, or other sensor modalities), including an understanding of sensor noise models and characteristics.
Demonstrated experience designing and deploying real-time deep learning and signal processing solutions using large-scale datasets.
Proficiency in Python and deep learning frameworks (e.g., PyTorch); experience with C++ or other performance-oriented languages is a plus.
Experience with model evaluation, debugging, experimental analysis, and failure analysis.
PhD or Master's degree in Electrical Engineering, Computer Science, or a related research field.
Proficient in written and verbal communication.
Ability to work both autonomously and collaboratively.
8+ years of relevant experience.

Preferred Qualifications
Experience deploying models on GPU, dedicated HW, or neural engines, including quantization, pruning, and other model compression techniques.
Experience with multi-sensor fusion, sensor calibration, or temporal/streaming signal processing.
Experience with generative priors (diffusion, flow matching) is an advantage.
Background in signal processing, physics, optics, lasers is a plus.

This position is open to all candidates.

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8877020

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29/10/2026

Senior Signal/Image Processing & Machine Learning Engineer - Sensing Technologies & Real-Time Models

חברה חסויה

Location: Herzliya and Haifa

Job Type: Full Time

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8877032

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2 ימים

Deep Learning Research Engineer - ML & Physics - Q

חברה חסויה

Location: Herzliya

Job Type: Full Time

We are seeking a creative and hands-on Deep Learning Research Engineer to drive model and architecture innovation across our sensing platforms. In this role, you will go beyond off-the-shelf models, exploring novel neural network designs, designing rigorous training and validation pipelines, and translating inventive concepts into clean, high-performance implementations. While our domain deals with physical data, this is an ML-first role: we are looking for a deep learning specialist with strong research intuition, expertise in PyTorch, and the drive to solve non-standard, real-world problems.

Responsibilities
Conceive, design, and implement novel neural network architectures tailored for complex physical sensing, reconstruction, and inverse problems.
Lead end-to-end hands-on research: data preparation, model formulation, training, hyperparameter exploration, and failure-mode analysis.
Build, train, and rigorously validate deep learning models using Python and PyTorch.
Formulate custom loss functions, regularization techniques, and inductive biases that capture domain-specific constraints.
Design comprehensive validation and benchmarking suites to stress-test model robustness, generalization, and scaling behavior.
Propose creative, non-conventional modeling ideas, stay abreast of state-of-the-art DL literature, and rapidly prototype proof-of-concepts.
Collaborate cross-functionally with physicists and optical software engineers to benchmark models against simulated and experimental lab datasets.

Requirements:
Minimum Qualifications
M.Sc. in Computer Science, Electrical Engineering, Data Science, Applied Mathematics, Physics, or a related technical field.
3+ years of hands-on research experience in machine learning and deep learning (in industry R&D or an academic research lab).
Deep theoretical and practical understanding of modern deep learning fundamentals (e.g., neural network architectures, optimization landscapes, generalization, attention/transformers, CNNs, or implicit representations).
Proven hands-on proficiency in Python and PyTorch, including writing custom layers, loss functions, and efficient training loops.
Demonstrated track record of creative problem-solving, proposing novel ideas, and executing them from hypothesis to experimental validation.
Strong technical communication skills and fluency in English

Preferred Qualifications
Track record of research contributions (e.g., publications in top-tier conferences like CVPR, ICCV, NeurIPS, ICLR, ICML, or relevant patents).
Foundational understanding or interest in physics, wave optics, signal processing, or computational imaging.
Experience with physics-informed neural networks (PINNs), neural operators (FNO/DeepONet), or integrating physical differential equations into loss functions.
Experience with large-scale distributed training, model profiling, and GPU acceleration.

This position is open to all candidates.

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8892453

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לפני 3 שעות

Software Middleware Team Lead - Q

חברה חסויה

Location: Herzliya

Job Type: Full Time

Responsibilities
Help create the next line of our AI products by leading the build of the infrastructure and groundwork they will stand on.
Lead the architecture and delivery of the low-latency middleware layer behind our iOS and macOS data collection and research applications.
Stay hands-on: write code, review pull requests, and debug the hard problems alongside the team. This is not a purely managerial role.
Set technical direction and coding standards across C++, Objective-C/C++, Swift, and Python.
Own the roadmap with research, firmware, silicon, and product partners, and turn ambiguous, ambitious goals into a concrete technical plan.
Drive design and implementation decisions for the applications on top of the middleware, not just the layer underneath.
Mentor and grow a team of strong engineers, and run the design and code reviews that set the culture.
Bring AI-assisted development into the teams daily workflow and show how much a small team can ship.
Work across the whole stack, from high-level software to low-level physics, and connect the disciplines that make it work.

Requirements:
Minimum Qualifications
B.Sc. in Computer Science, Electrical Engineering, or Computer Engineering.
5+ years of hands-on software development experience, including 5+ years of leading engineering teams.
Solid working experience in Python and in at least one of C++, Objective-C/C++, or Swift.
Comfort working across platforms and environments - shared code, build, and deployment.
Vast programming knowledge and background - able to credibly review and guide work across multiple languages and layers of the stack.
Proven capability delivering low-latency, production-grade systems, ideally in data collection, instrumentation, or research-tooling contexts.
Demonstrated, hands-on fluency with advanced AI coding tools, with the judgment to apply them effectively across a teams workflow.
Track record of technical leadership: architectural decision-making, mentoring, and balancing hands-on contribution with team enablement.
Excellent communication skills - able to represent the teams technical direction to stakeholders and translate business/research needs into engineering plans.

Preferred Qualifications
Professional experience in all of the core languages: Python, C++, Objective-C/C++, and Swift.
macOS and/or iOS development experience - a rare and highly valued profile for this team.
Familiarity with sensor capture (video, audio) and multi-stream synchronization.
Familiarity with machine learning and inference (on-device or pipeline integration).
Prior experience as a team lead or staff-level IC in a similarly scoped org.
Experience with pre-silicon or hardware-adjacent software development.
Background building integration/test vehicles or data-collection platforms.

This position is open to all candidates.

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8897111

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לפני 3 שעות

Physicist & Optical Scientist - Q

חברה חסויה

Location: Herzliya

Job Type: Full Time

We are an innovative, growing physics and engineering team working at the intersection of breakthrough scientific exploration and real-world product feasibility. We are seeking an exceptional Scientist, specializing in optics and non linear optics, to lead the conceptualization, design, and experimental validation of novel and unique optical architectures. In this role, you will investigate uncharted concepts, explore first-of-their-kind ideas, and turn exploratory physics into viable system-level solutions with the potential to reshape technology.

Explore, architect, and validate early-stage optical concepts and architectures where final specifications and solutions are yet to be defined
Design, model, and simulate advanced optical systems, focusing on ultrafast laser optics, nonlinear optical phenomena, and optical scanning mechanisms
Build, align, and operate experimental lab setups to prototype ideas, evaluate feasibility, and characterize novel optical phenomena
Partner with external vendors and specialized component suppliers from initial technical engagement through fabrication, testing, and delivery
Investigate physical limitations, identify fundamental trade-offs, and define requirements for next-generation systems
Translate complex experimental and theoretical findings into clear engineering insights for multidisciplinary hardware, software, and systems teams.

Responsibilities
Lead optical concept exploration: de-risk high-uncertainty ideas through rigorous modeling and hands-on lab experimentation
Design and implement optical systems involving ultrafast lasers, nonlinear optics, and beam-scanning systems
Establish and drive external vendor relationships, including optical specification drafting, design reviews, and vendor deliverables qualification
Develop custom experimental benches and test procedures to validate system-level performance against physical limits
Analyze complex experimental datasets and communicate actionable recommendations to cross-functional engineering teams

Requirements:
Minimum Qualifications
M.Sc. or Ph.D. in Physics, Optical Engineering, Electrical Engineering, or a closely related field.
10+ years of hands-on experience in experimental optics and/or optical design (academic research and/or industry experience).
Proven track record in optical design and modeling of ultrafast (short-pulse) laser systems.
Deep expertise in nonlinear optical processes and light-matter interaction.
Hands-on experience designing or implementing optical scanning systems (e.g., galvo, resonant, MEMS, or polygon scanners).
Strong laboratory background: experience setting up, aligning, and troubleshooting complex free-space and fiber optical setups.

Preferred Qualifications
Demonstrated experience collaborating with and managing. domestic/international optical vendors and fabricators (custom optics, coatings, laser sources).
Proficiency with standard optical simulation and modeling tools (e.g., Zemax OpticStudio, Code V, FRED, or LightTools) and numerical analysis (Python, MATLAB).
Proven capability to operate in ambiguous, exploratory environments, defining the problem statement, testing hypotheses, and pivoting based on empirical results.
Excellent cross-functional communication skills, with the ability to articulate trade-offs across physics, mechanical constraints, and system engineering.

This position is open to all candidates.

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8897055

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שליחה

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אירעה שגיאה בשליחת פרטיך למשרה

לפני 3 שעות

Software Engineer, Tools & Infrastructure - Q

חברה חסויה

Location: Herzliya

Job Type: Full Time

Were looking for a software developer with a real passion for hardware. You enjoy the moment when code makes a physical device do something, youre comfortable standing at a lab bench, and you take a problem from a vague request to a working solution that people actually use.

Responsibilities
Design and build macOS tools and applications, primarily in Python and Swift, for hardware test setups, lab research setups, and lab automation.
Develop company-wide tools used by multiple teams for dedicated proprietary hardware research, and support them as real products with real users.
Own problems end to end: understand the need with the people at the bench, design the solution, implement, deploy, and iterate until it works in the lab.
Integrate with instruments, sensors, and custom hardware over USB, serial, Bluetooth, network, and other lab interfaces.
Build supporting infrastructure as needed: cloud dashboards, databases, data pipelines, and reporting for test and research results.
Implement algorithms and data-processing logic that turn raw measurements into usable results.
Support Windows environments when lab equipment or vendor software requires it.
Make advanced AI coding tools a core part of how you build, and help the team move faster with them.
Take part in design and code reviews, and help raise the quality and maintainability of the teams tools.

Requirements:
Minimum Qualifications
B.Sc. in Computer Science, Electrical Engineering or similar.
3+ years of hands-on software development experience, with a track record of shipping tools or applications that others use.
Solid working experience in Python applications development.
A genuine interest in hardware: comfortable around lab equipment, reading datasheets, and debugging across the hardware/software boundary.
Ability to take an open-ended problem and deliver a complete working solution on your own, from requirements to deployment.
Good programming fundamentals: data structures, concurrency, I/O, testing, and debugging.
Demonstrated ability to work effectively with advanced AI coding tools (e.g., Claude Code, Copilot, Cursor, or similar) as part of daily engineering practice
Strong communication skills and a service mindset toward internal users such as researchers and hardware engineers.

Preferred Qualifications
Familiarity with Swift, TypeScript and React and the ability to become productive in it quickly, with experience on macOS.
Experience building lab automation, test fixtures, instrument control, or measurement software (e.g., SCPI/VISA, DAQ, oscilloscopes, power supplies).
Experience with hardware interfaces and protocols: USB, UART, SPI/I2C, BLE, or network-based device control.
Experience building dashboards and databases for engineering data (web or cloud, SQL/NoSQL).
Experience implementing signal-processing or other algorithms in Python.
Experience with Windows development or tooling, and with cross-platform deployment.
C, C++, or Objective-C experience for performance-sensitive or driver-adjacent code.
Background in embedded or firmware-adjacent development
Hobby or personal hardware projects (electronics, 3D printing, sensors, robotics).
Experience with CI/CD, packaging, and distributing internal tools to many users.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8897076

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תיאור

שליחה

תודה על שיתוף הפעולה

מודים לך שלקחת חלק בשיפור התוכן שלנו :)

המשרה נמחקה

תוכל לצפות בה בדף המשרות שלי

המשרה הוחזרה לרשימת תוצאות החיפוש

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אירעה שגיאה בשליחת פרטיך למשרה

21/10/2026

System Performance Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time

Every camera and sensing system we ship is used, every day, by hundreds of millions of people who simply expect it to work. Ensuring our systems are worthy of that expectation is this team's goal. We challenge products through the physical world to prove it, and to feed real-world evidence back into system design - measuring and analyzing the performance of multi-disciplinary optical sensing systems. This role is the analytical core of that work. You will define what we measure and why, mine large volumes of measurement data for the effect that actually matters, and take a question that has never been answered to a defensible answer. It is highly collaborative: you will work directly with module, optics, algorithm and system teams, and your conclusions will be the basis of their decisions. You will work alongside our lead system engineer as a peer, with problems allocated between you according to where the issue actually sits. We are looking for someone who genuinely enjoys digging into data until it gives up what it knows, and who wants to take that on with us.
Responsibilities
Own the characterization of system performance end to end - from risk and failure mode mapping through methodology definition, execution, analysis and reporting
Define metrics, testing & measurement methodology
Mine large data sets to separate isolate performance root causes
Correlate physical measurement to human perception - where the HW meets the user
Build the analysis capability the work requires - pipelines, tooling methods
Present and defend findings to module, optics, algorithm and system teams

Requirements:
Minimum Qualifications
MSc in Optics, Physics, Electrical Engineering or a related field, with at least 3 years of hands-on experimental and analytical experience
Strong data analysis and visualization - digest empirical data in a way that answers the question, and explain why that is the right way to look at it
Experience designing experiments to isolate a single effect, with the statistical judgment to assess sample size, repeatability and measurement error
Detailed understanding of optical sensing and imaging systems: image sensors, illumination sources, optical elements, and the tolerances that govern them
Great interpersonal skills - working collaboratively with peers and colleagues across the organization
Preferred Qualifications
PhD in a relevant field (Optics, Physics, EE) or equivalent
Background in image quality assessment and associated metrics
Background in depth sensing, calibration, or autofocus systems
Experience with large-scale data handling, automated analysis pipelines, or applying AI tooling to engineering analysis
Hands-on lab experience with optical setups and electrical equipment
Experience in the consumer electronics industry and with vendors
Experience defining and tracking requirements and specifications from system level through sub-modules and components

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8866854

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