לוח משרות דרושים מדעים מדוייקים

We are looking for a motivated and detail-oriented student to join our Verification and Proof of Design department and work on manual testing of Embedded software systems What you'll do:
* Plan and execute manual tests based on product requirements.
* Work with Embedded systems and perform end-to-end testing.
* Analyze TEST results and report issues clearly.
* Write and maintain TEST documents ( STD, STP ).
* Collaborate with cross-functional teams in a dynamic environment.

our company has engaged with several leading customers who is building a cutting-edge Low Earth Orbit satellite constellations. As part of these engagements, we are building a state-of-the-art silicon components and systems for space as well as for ground stations.
These systems includes Control and data processing HW, SW as well as Phy and Radio HW and FW, to construct a full communication system supporting DVB-S2X as well as other Radio and IP communication protocols.
This is an opportunity to embark on a interesting and challenging adventure into the world of satellite communication which is undergoing a major disruptive revolution.
Responsibilities
System validation activity including Phy, HW and SW validation.
Study system architecture and system requirements and take part in a test plan to address these requirements in collaboration with system engineering and other teams.
Define and write automatic test plans and test procedures for new systems and features.
Build test setups for fully automated regression as well as for manual tests.
Take active part, hands-on in team execution: integration and feature/product enabling, bring up and debug activities, regression automation test of satellite systems.
Record, investigate and analyze defects.
Investigation of root cause of test case failures and providing corrective action in conjunction with development teams.
Support Test Management tools and continuous integration methodologies.
Data analysis and post processing of data collected.
Compilation of regular Test execution summary report with metrics.

We are a fast growing start up, transforms infrastructure monitoring by leveraging optical fibers to monitor critical, large-scale systems like power grids and oil & gas pipelines across thousands of kilometers without the need for traditional sensors. Our Hyper-Scan Fiber-Sensing technology, combined with advanced Machine Learning, empowers utility operators to achieve environmental and renewable energy goals while maintaining operational excellence on their path to net-zero emissions. Founded in 2017, with offices in the U.S., Europe, and Israel (HQ), we are led by an expert team with a proven track record in building and scaling successful companies within the lasers and deep-tech sectors. We are seeking a talented, self-driven and passionate Deep Learning Engineer who will bring both deep learning expertise and engineering skills to our unique domain of Optical Fiber Sensing. In this role, you will balance cutting-edge ML research with the practical, large-scale data handling challenges that enable our solutions to thrive in the real world. About half of your day-to-day work will involve building and optimizing the data processing infrastructure and libraries that underpin our ML models.
What Youll Do:
* Design and implement custom data libraries and formats that support fast random access to massive Real-Time data streams. Work closely with the engineering team to ensure data pipelines are robust, scalable, and efficient.
* Leverage and extend data processing frameworks (e.g., Pandas, GeoPandas, Dask) to handle large-scale acoustic data. Write or customize Pandas extensions to meet specialized data modeling requirements.
* Spearhead core. deep learning initiatives to solve real-world challenges in detecting, classifying, and tracking spatiotemporal events. Push boundaries by inventing and applying novel ML and DL techniques tailored to our unique optical fiber domain
* Deliver well-tested, reliable, and maintainable code that seamlessly integrates into our rich and unique code infrastructure and ecosystem.
* Work alongside physicists, hardware engineers, data scientists, and field teams to gather requirements, plan real-world experiments, and collect critical data. Translate complex domain challenges into effective ML and data -engineering solutions.
* Harness advanced data analysis and visualization tools to uncover insights from diverse and voluminous real-world datasets.
* Continuously research new algorithms, technologies, and tools (both ML- and data -engineeringrelated) to keep us at the forefront of innovation.
* Rapid prototyping, iterative experimentation, and fast-paced project turnovers are the norms. Youll balance quick delivery with rigor and thoroughness.

Prisma Photonics, a fast growing start up, transforms infrastructure monitoring by leveraging optical fibers to monitor critical, large-scale systems like power grids and oil & gas pipelines across thousands of kilometers without the need for traditional sensors. Our Hyper-Scan Fiber-Sensing technology, combined with advanced Machine Learning, empowers utility operators to achieve environmental and renewable energy goals while maintaining operational excellence on their path to net-zero emissions. Founded in 2017, with offices in the U.S., Europe, and Israel (HQ), Prisma Photonics is led by an expert team with a proven track record in building and scaling successful companies within the lasers and deep-tech sectors. We are seeking a leader for the Physics team, who likes to see the whole picture, to take part in developing the core technology for our fiber-sensing platform. The Physics team leader will report to the VP R&D. What Youll Do
* Own and lead the development of our next-generation fiber-sensing systems, driving innovation from concept through production.
* Manage and grow a multidisciplinary team of physicists, providing technical mentorship and day-to-day leadership.
* Oversee cross-functional hardware development, including: optical system design and integration, electrical board design, thermal design of enclosures and components.
* Lead system -level architecture decisions, integrating optical, mechanical, electrical, and computational elements to deliver reliable, high-performance systems.
* Balance leadership with hands-on contribution approximately 50% of the role will involve technical, hands-on R&D work.
* Collaborate closely with algorithm, software, and field engineering teams to ensure smooth integration and deployment of hardware in real-world environments.
* Drive research initiatives for new sensing capabilities, pushing the limits of whats possible with fiber-based technology.
* Act as a key voice in technology strategy, contributing to long-term vision and roadmap.
Manager:
Yoni Halevi- VP R&D

We are seeking a passionate and experienced Algorithms Team Leader to lead our Computer Vision and Deep Learning team. This is a hands-on leadership role combining technical expertise, strategic thinking, and team mentorship to drive the development of cutting-edge AI-powered solutions.

As the Algorithms Team Leader, you will be responsible for leading a team of talented algorithms developers in researching, designing, developing, and deploying advanced algorithms from research to scalable production systems. Youll be instrumental in shaping the future of our AI capabilities and driving innovation within the team and across the organization.



Responsibilities

Lead and grow a high-performing team of algorithm engineers in the fields of computer vision, deep learning, photogrammetry, and robotics.
Work hand-in-hand with both the CTO office and the product team to shape and execute our AI and algorithms roadmap, ensuring that our innovations translate into business impact. Represent the team in technical and strategic discussions, both internally and externally.
Serve as a key liaison between the algorithms team and other departments, ensuring alignment on plans, project goals, and deliverables with both technical and non-technical stakeholders.
Collaborate closely with cross-functional teams, including software engineers, product managers, and QA, to ensure alignment on project goals and successful integration of AI features.
Oversee the full algorithm development lifecyclefrom concept and research to implementation, integration, and deployment.
Contribute to the development of intellectual property, including patents and technical publications. Identify new trends and drive adoption of state-of-the-art techniques to maintain our leadership in the domain.

At SolarEdge (NASDAQ: SEDG), 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. SolarEdge offers 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. Join Our Team as a Material Planner (Location- Ziporit Ind. Zone, Nof Hagalil) Are you a detail-oriented professional with a passion for optimizing material supply and ensuring smooth production processes? We are looking for a talented Planner (Material Specialist) to join our dynamic team and make a significant impact on our operations. Key Responsibilities: Review and Implement: Analyze and execute the provided Forecast (FC) to ensure accurate planning. MRP Management: Run Material Requirements Planning (MRP) for all items to maintain optimal inventory levels. Scheduling: Coordinate the supply of materials to meet production needs while minimizing stock levels. PR/PO Management: Oversee day-to-day Purchase Requisition (PR) and Purchase Order (PO) activities, including expediting and adjusting orders as necessary. ECO Analysis: Evaluate Engineering Change Orders (ECOs) and ensure timely implementation. Stock Optimization: Minimize obsolete stock and follow up on Development (DEV) items. Problem Solving: Address material shortages affecting production and develop effective solutions. RM Shortages: Run Raw Material (RM) shortage reports and work proactively to resolve issues. Shipment Follow-Up: Monitor shipments to ensure timely delivery of materials. What We Offer:
* A collaborative and innovative work environment.
* Opportunities for professional growth and development.
* Competitive salary and benefits package.

Country:
Israel

City:
Ziporit

We are growing and looking for a talented Radar Algorithms Engineer to join our Algorithms Department in Beer Sheva!
The position includes:
Development of algorithms for AESA-software defined radars, including detection, tracking and targets classification
Development of radar simulation and analysis tools
Participation in the radar system design
Radar performance analysis.

we are a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance.
Join Our Team as a Radar Performance Analyst!
Are you passionate about radar technology and skilled in performance analysis? Do you thrive in a dynamic, innovative environment where your contributions directly impact cutting-edge solutions? If so, we invite you to explore this exciting opportunity to join our growing team as a Radar Performance Analyst in our Algorithms Department.
Responsibilities:
Collaborate with experienced radar algorithms engineers to optimize radar system performance.
Analyze experiments and field tests to derive technical insights and recommendations for enhancing radar system performance.
Conduct in-depth performance analysis of various radar algorithms to ensure optimal functionality.