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A dynamic clinical role at the intersection of skincare and energy-based devices. This person will lead beta-site support, education, and training for our new skincare line while also mastering and training on our device portfolio. They will develop educational content, deliver training globally, and act as a bridge between clinical expertise, education, and customer success.

Subsidiary:
Alma LTD

Dustphotonics develops cutting-edge technology in Silicon Photonics, revolutionizing connectivity and communication in data centres. 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 difficult problems, smartly and simply, by thinking out of the box, leveraging the knowledge and know-how of the team members, and working as a team to create Magic. Our Company culture is characterized by accountability for our ethics, and 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 a Photonics Design Engineer with proven, hands-on experience designing, simulating, and measuring active silicon-photonics components (e.g., modulators, phase shifters, photodiodes)

Responsibilities:
? Design and model active Silicon Photonics devices; own specs, compact models, and layout intent. ? Drive design for manufacturability: analyze performance across process/voltage/temperature corners and wafer variability; run Monte-Carlo/tolerance studies. ? Build scripted, parametric simulation flows (sweeps/optimization) and extract figures of merit (EO S21, V?·L, responsivity, dark current, bandwidth, IL). ? Plan and execute lab/wafer-level measurements; close the model-to-silicon loop by comparing data to simulations and updating models. ? Collaborate with process, test, and packaging teams on masks, runsets, and DFT/DFM reviews.

We have successfully built our core pipeline and are now aggressively onboarding new, diverse customers. This role is highly dynamic, requiring a blend of technical depth, proactive research, and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.

Responsibilities

As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:

Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of Pecans Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.

We are looking for a versatile, creative and experienced Algorithms Researcher to join our elite research department. The position aims to explore and implement novel interdisciplinary solutions to complex challenges in the highly challenging environment of physical retail stores.
Address real-world problems for which no off the shelf solutions exist. Innovatively combine computer vision, classical ML, and signal processing.
Rely on huge data continuously harvested from stores empowered by our companys system.
Collaborate with fellow researchers specializing in an array of different disciplines.
Write production-grade code; Work side-by-side with top notch engineering teams in order to integrate your solutions into our companys system.
See the bigger picture; take the system as a whole into account while designing algorithmic solutions.

our EyeQ Platform Group (EPG) is seeking a motivated Formal Verification Engineer to join our team and contribute to development of hardware verification environments.
This position offers an opportunity to apply formal methods to verify the correctness of various complex digital systems.
This is an exciting opportunity to join a team of talented engineers, working cutting edge technologies in the field of autonomous vehicle.
What will your job look like:
Be the owner of formal verification environment from first draft to sign-off stage
Apply formal methods to verify the correctness of various complex digital systems
Work with HW architects\designers to define assumptions, rules and cover properties
Help define the formal verification methodology and environment to be applied by the team
Explore new Formal methods and Tools
Work with tools like Cadence JasperGold, Verisium manager, Xcelium, Indago
Analyze verification results, identify bugs, and collaborate with engineers to resolve design issues
Develop generic formal blocks\functions of commonly used logic, to be later used off the shelf

We are looking for a Data Analyst to join our team.

The Data Analyst must have the ability to strategize, analyze and interpret business data to identify key insights and provide recommendations.

The successful candidate should have a proven track record of success in the field of business analytics.

Responsibilities:
You will work with various internal & external datasets to extract insights and deliver actionable recommendations.
You will use your set of analytical skills, data mining techniques and statistical tools to identify trends, opportunities and threats that will support our growth.
You will communicate your findings to management and work closely with business leaders.
You will Design, execute and monitor ETL flows via SQL (dbt is our data tool).
You will Visualize data with dashboards to address key questions for the companys in-house teams like Sales, Marketing, CSM, Growth, and more.

Product Validation department is looking for an Validation Engineer . Our department is responsible for delivering high quality ADAS (Advanced Driver Assistance Systems) products. We are the first line of support for customers around the globe and as our Validation Engineer you will be interacting with most of departments, to achieve goals.
What will your job look like:
Testing and evaluating the systems performance in both hardware and software aspects.
Writing test plans according to system's requirements, to ensure high quality products.
Executing Manual tests as well as built-in automated test sets.
Installing debug systems and sensors on development vehicles internally and providing support to automotive customers.