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Dustphotonics is a developing cutting-edge technology in Silicon Photonics which is revolutionizing connectivity and communication in data centers. Silicon photonics is becoming a standard technology used for high performance systems, solving challenges of performance, integration, power and cost. This technology is growing rapidly also in other markets such as Healthcare, LIDARs and other sensors. At DustPhotonics, we are looking to solve the difficult problems, in a smart and simple way, by thinking out of the box, leveraging the knowledge and know-how of the team members and work as team to create Magic. Our Company culture is characterized by accountability for our ethics, for being fair to every employee, customer, supplier and partner. We believe we must work hard and have fun on the way to success. We are looking for Junior Device and Test Engineer We welcome you to join our team - Apply for your next career opportunity with us!





Responsibilities:

* Implement electro-optical test plans for products under development or qualification.
* Support testing and characterization stations in the RND labs.
* Develop and improve methods for testing and characterization of Silicon photonics devices.
* Analyze Test data and DOE results to provide vital insight into the development of innovative silicon photonics products.
* Support cross-functional failure investigations to identify root cause and corrective and preventative action.

Play a part in shaping the future of human-computer interaction. As an MLOps Engineer, you will be the backbone of the machine learning infrastructure that powers our speech, audio, and conversational AI teams - ensuring their models are trained on the best possible data.
You will bridge the gap between research, data science, and engineering, owning the full ML lifecycle from large-scale data pipelines and distributed GPU training through to low-latency, high-fidelity inference and optimization. You'll partner closely with Audio ML Engineers, Speech ML Engineers, and ML Data Scientists to remove friction across their workflows and accelerate the path from research to product.

The MLOps Engineer will drive end-to-end quality and operational excellence across data ingestion, model training, deployment pipelines, and MLOps tooling for our speech and audio ML platforms. This hire will build, deploy, and optimize production-grade systems with a strong emphasis on scalable, GPU-accelerated infrastructure. You will own the training infrastructure that powers distributed and self-supervised model training on HPC and Slurm-managed clusters, as well as the inference pipelines that bring low-latency, high-fidelity audio and speech models to production. You will establish standard methodologies for model integration, deployment, monitoring, and reproducibility using CI/CD principles.

Responsibilities
Design, build, and operate large-scale data pipelines for proprietary audio and speech datasets - supporting curation, quality monitoring, and validation at scale alongside our ML Data Science team.
Partner closely with Audio ML Engineers, Speech ML Engineers, ML Data Scientists, and product teams to define metrics, gather requirements, and bring new capabilities to life.
Build and operate distributed GPU training workflows, including job scheduling and resource management on Slurm-managed HPC clusters, for both supervised and self-supervised methods.
Optimize model inference for low latency and high-fidelity streaming across serving environments, including optimization for Apple silicon.
Design and maintain automated pipelines for model training, evaluation, versioning, and deployment, with special attention to speech, audio, and signal-processing workflows.
Identify and resolve bottlenecks in ML and data workflows, improving system reliability, latency, and throughput at scale.

We are a forward-looking team bringing groundbreaking human interaction into consumer products. We work at the frontier of weak signal sensing and researching their information content, translating fundamental discoveries into transformative technology.

We are looking for a talented researcher with a can-do state of mind, eager to combine psychology, physics, data science, and ML to probe the limits of human interaction. You are passionate about enabling the sensing of weak signals, uncovering their information content, and turning that understanding into real consumer experiences. If you are driven to push the boundaries of what's measurable and translate it into technology the world hasn't seen yet, we want to hear from you.

Responsibilities
Define research topics and strategies aligned with system and product requirements.
Design, build, and operate methods and test setups to quantify system performance.
Design new ways to collect, analyze, and interpret data, translating insights into technology capabilities and product specifications.
Apply existing knowledge to novel approaches to enhance weak signals and compensate for lack of information.
Characterize material and system-level physical limits to inform design feasibility and define system requirements.
Develop and analyze real world experiments to support systems work
Analyze and report results clearly to enable cross-functional teams to make informed design decisions.
Partner with multidisciplinary teams across hardware, software, and systems engineering to drive research from concept to product.

We are a growing physics team working at the intersection of cutting-edge research and real-world product impact. We are looking for an exceptional Physicist or Electrical Engineer to join us in assessing the feasibility of a groundbreaking, first-of-its-kind technology, one with the potential to reshape the industry.

Define research topics and experimental strategies aligned with system and product requirements.
Design, build, and operate experimental and test setups to measure and characterize system performance.
Collect, analyze, and interpret experimental data, translating insights into technology capabilities and product specifications.
Investigate new methods, theories, and physical phenomena; apply existing knowledge to novel challenges and generate new understanding through rigorous experimentation.
Characterize material and system-level physical limits to inform design feasibility and define system requirements.
Develop and validate simulation models to support experimental and systems work.
Analyze and report results clearly to enable cross-functional teams to make informed design decisions.
Partner with multidisciplinary teams across hardware, software, and systems engineering to drive research from concept to product.

We are looking for highly motivated engineers who love the challenges and the opportunity of a small company.
Join us and be a part of a small and dynamic team, which revolutionizes the parallel processor architecture.

We are looking for a highly skilled Senior Environmental System Test Engineer - Camera & Laser to join our team in Herzliya.

Responsibilities
Lead end-to-end environmental testing and characterization of camera and laser sensor systems, encompassing optical performance, mechanical alignment, and environmental robustness.
Define and execute environmental test protocols addressing real-world conditions, including: Solar/sun influence - direct and indirect illumination interference on sensor performance; Rain and moisture - water ingress, droplet effects on optical paths, condensation; Motion and walking scenarios - dynamic movement, vibration, and stabilization assessment.
Perform system-level validation ensuring sensor subsystems meet performance specifications across all environmental boundaries.
Design and build repeatable, controlled test environments and fixtures for rigorous physics-based evaluation.
Collaborate with cross-functional teams (optics, firmware, mechanical, and research) to translate environmental requirements into actionable test plans.
Analyze and report test data, providing clear recommendations for design improvements.

We are looking for a highly skilled Senior Sensor & Embedded System Testing Engineer to join our team in Herzliya.
In this role, you will help create the full data lifecycle that underpins our models: from designing what data we collect, through curation and quality monitoring, to running rigorous experiments that drive model improvements. You will work closely with other ML and Data Engineering teams to ensure our models are trained on the best possible data, reaching the best accuracy, and that we deeply understand when and why they don't perform as expected.

The selected candidate will assume responsibility for the configuration of advanced camera and laser sensor systems, and for the rigorous validation of their functionality at the embedded level. This role encompasses interface verification, timing analysis, performance characterization, firmware integration support, and direct collaboration with research and physics evaluation programs.

Responsibilities
Lead the configuration and bring-up of camera and laser sensor subsystems within embedded platforms.
Define, develop, and execute comprehensive system-level validation and definition testing strategies.
Characterize sensor performance across optical, electrical, and timing domains.
Validate sensor interfaces (MIPI CSI-2, SPI, I²C, LVDS) and ensure compliance with system specifications.
Support firmware integration activities, ensuring robust sensor operation within the full system stack.
Design and maintain automated test infrastructure for sensor validation and regression testing.
Collaborate closely with physics, optics, and research teams to support experimental evaluation campaigns.
Perform root-cause analysis of issues spanning hardware, firmware, optics, and sensor subsystems.

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

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

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

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

We are growing our physics team, working at the intersection of research and real-world product impact. We are looking for a talented experimental physicist who is passionate about translating fundamental science into transformative technology.

Responsibilities
Define research topics and experimental strategies aligned with system and product requirements.
Design, build, and operate experimental and test setups to measure and characterize system performance.
Collect, analyze, and interpret experimental data, translating insights into technology capabilities and product specifications.
Investigate new methods, theories, and physical phenomena; apply existing knowledge to novel challenges and generate new understanding through rigorous experimentation.
Characterize material and system-level physical limits to inform design feasibility and define system requirements.
Develop and validate simulation models to support experimental and systems work.
Analyze and report results clearly to enable cross-functional teams to make informed design decisions.
Partner with multidisciplinary teams across hardware, software, and systems engineering to drive research from concept to product.

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

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

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


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