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Dustphotonics is a developing cutting-edge technology in Silicon Photonics which is revolutionizing connectivity and communication in the 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 welcome you to join our team - Apply for your next career opportunity with us! We are looking for a Silicon Manager specializing in data flow management Job description As a Silicon Data Flow Manager you will be responsible for improving silicon-photonics yield and performance through data-driven analysis, cross-functional collaboration and proactive issue resolution. You will serve as the key interface between R&D, Process, and Production teams, ensuring efficient data flow, rapid issue identification and continuous process improvement across wafer fabrication, device testing, and packaging stages.

Responsibilities:

* Perform silicon process and chip-level data analysis, establishing correlation between chip and wafer performance.
* Lead process debug and yield loss analysis at chip/wafer level, driving root cause investigations and corrective actions.
* Manage engineering approval forum to release production material.
* Collaborate closely with vendors to implement new product tests and resolve technical/process issues.
* Act as a key interface between design, testing, and production teams, ensuring alignment across the product lifecycle
* Oversee and coordinate the transfer of data related to silicon design, testing, fabrication, and characterization between Production and R&D departments.
* Develop and implement data management strategies to ensure data accuracy, security, and accessibility.
* Maintain proper documentation of data transfer protocols, version control, and data integrity checks.
* Support data analysis efforts to improve silicon performance, yield, and quality.
* Ensure compliance with company policies and industry standards related to data security and confidentiality.

Hiring Manager:
Arie Faitelson

we are looking for a talented Deep Learning Engineer to join our R&D team. The engineer will work on devising, developing, and integrating novel deep vision-based Perception algorithms at the heart of our autonomous driving system. This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles. Responsibilities:
* Work closely with deep learning engineers and tech leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment
* Supervise complex data pipelines, from the collection stage, through annotation, to models training
* Design and optimize deep neural networks, involving innovative feature engineering
* Take an End-to End responsibility over medium to long-term projects
* See projects through from research to deployment
* Devise and implement performance metrics
* Communicate, present and visualize results
* Align the algorithms with the product needs

We are seeking a capable and experienced Algorithm engineer to join our R&D team. The engineer will be part of a team responsible for the core autonomy parts of the product responsible for developing the foundational algorithms that guide our autonomous vehicles. This role is a part of the group that oversees Motion Planning, Decision-Making, Localization, and Control, blending traditional robotics with state-of-the-art AI to solve the most challenging problems in autonomous driving. This is an opportunity to architect and deliver the core autonomy stack for a scalable, mapless L3-L4 system. You will work on cutting-edge algorithms, including Agentic AI and large-scale models, and see your innovations deployed on public roads in our global fleet of cars and buses. Responsibilities
* Be part of the development of four key domains: Motion Planning and Decision-Making: Oversee the trajectory planner and the decision-making module that sets the context for vehicle behavior. Localization: Guide the development of high-frequency, high-accuracy vehicle state estimation using advanced sensor fusion algorithms. Control: Supervise the design and implementation of the vehicle's lateral and longitudinal controllers.
* Drive innovation by integrating state-of-the-art (SOTA) methodologies, including Agentic AI, vision language models (VLMs), transformers, multi-agent prediction, trajectory optimization, uncertainty management, and safety-aware algorithms.
* Be part of a group involving multiple engineers, from initial research and prototyping to robust deployment and validation.
* Be part of a group in charge of complex data pipelines, from collection and annotation to model training and evaluation.