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Dustphotonics, now part of Credo, is developing cutting-edge technology in Silicon Photonics, 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. 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. We believe in working hard but having fun on the way to success. We welcome you to join our team - Apply for your next career opportunity with us! We are seeking a talented and motivated R&D Physicist with strong hands-on experience in optical laboratory work, photonics testing and physics-based data analysis. In this role, you will be responsible for designing and carrying out experiments for SiPh chip performance and characterization, performing and analyzing laboratory experiments of chip-level optical systems assembly, and developing test setups for photonics and laser device characterization. The ideal candidate combines strong experimental skills with the ability to analyze complex physical data, develop Python-based analysis tools, automate workflows and translate measurement results into clear technical insights for the R&D team. This role may require international travel for demonstrations, exhibitions and technical activities as needed.


Responsibilities:



* Design and carry out experiments for SiPh chip performance and characterization.
* Perform and analyze laboratory experiments of chip-level optical systems assembly.
* Develop, manage, and improve setups for photonics and laser device characterization.
* Analyze optical, electrical, and electro-optical measurement data using physics-based models and statistical methods.
* Develop Python-based tools, scripts, and Jupyter notebooks for data analysis, visualization, automation, and reporting.
* Build algorithms for test data processing, performance extraction, trend analysis, and failure/root-cause investigation.
* Support automation of lab equipment, data acquisition, and test flows.
* Apply DOE, statistical analysis, and modeling techniques to improve testing methodologies and product understanding.
* Work with R&D, design, test, and engineering teams to translate experimental results into actionable conclusions.
* Contribute to the development of new testing methodologies, data-analysis methods, and characterization techniques.
* Maintain clear documentation of experiments, analysis flows, code, and results.
* Ensure adherence to experimental protocols and safety procedures.
* Maintain laboratory equipment and supplies.

Who We're Looking For - The Dream Maker We’re looking for a hands-on Onboarding & Implementation Lead to own and scale the onboarding experience across both SMB and Enterprise customers. This highly customer-facing role combines implementation project management, customer consulting, operational excellence, and technical problem-solving. You’ll guide customers from contract signature through successful activation, ensuring they overcome blockers, complete their implementation, and realize value quickly and confidently. You’ll lead Enterprise onboarding engagements, support complex SMB implementations, and proactively drive onboarding completion across our broader customer base. This is a role for someone who can manage complex customer projects while also improving the systems, processes, and playbooks behind them. About Chargeflow Chargeflow is a leading force in fintech innovation, tackling chargeback fraud and the impact it has on online businesses. Born from a deep passion for technology and eCommerce, we’ve developed an AI-driven solution that helps merchants manage credit card disputes, recover lost revenue, and protect their businesses through a unique success-based model. Backed by $49M from Viola Growth, OpenView, Sequoia Capital, and other top-tier global investors, Chargeflow is on a product-led growth journey. We’re a tight-knit team of passionate builders and entrepreneurs, united by our mission to revolutionize eCommerce and protect online businesses from chargeback fraud. What You’ll Own
* Lead onboarding and implementation projects for Enterprise customers from contract signature through activation and first value.
* Serve as the primary customer point of contact throughout the implementation journey.
* Build and manage onboarding plans, timelines, milestones, risks, dependencies, and stakeholder communication.
* Lead customer meetings with both operational and executive stakeholders, creating clarity, accountability, and momentum.
* Support complex SMB implementations that require additional guidance or technical assistance.
* Act as an escalation point for onboarding challenges, identifying root causes and coordinating the right teams to remove blockers.
* Proactively monitor progress across active onboarding accounts and drive customers toward completion and activation milestones.
* Reduce onboarding drop-off and improve completion rates, implementation timelines, and time to value.
* Continuously improve onboarding workflows, playbooks, documentation, and customer communications.
* Identify opportunities to automate manual work, increase operational efficiency, and improve visibility into onboarding status and risks.
* Partner closely with Customer Success, Sales, Product, Engineering, and Support to deliver a seamless customer experience.
* Surface recurring implementation challenges and customer friction to internal stakeholders, helping shape product and process improvements.
* Develop expertise across Chargeflow’s payment ecosystem, including Stripe, Shopify Payments, PayPal, Adyen, and other payment providers.
* Help customers understand dispute-management best practices based on their business model, payment setup, and merchant vertical.

Required System Integration Engineer
About the team:
The Data Collection (DC) group provides data for all our technologies. The group manages a global fleet of experimental vehicles equipped with our sensors, from single-camera systems to advanced surround systems, as well as ground-truth systems such as LiDAR, radar, and INS.
With teams in Israel, the US, and Europe, the DC group supports research and development by delivering diverse, high-quality datasets.
You will join the Data Collection Engineers team, a versatile and dynamic team responsible for managing the vehicle's experimental systems, analyzing collected data, and delivering it for further insights.
What will your job look like?
Install, configure and bring up HW & SW of sensors and vehicle subsystems on operational platforms.
Develop automation and AI-based tools to streamline workflows, reduce manual work, and improve engineering productivity.
Troubleshoot complex system issues, lead Root Cause Analysis (RCA), and implement corrective actions to improve reliability, performance, and readiness.
Collaborate with multidisciplinary engineering teams throughout the development and validation lifecycle.
Lead field experiments to evaluate new hardware and sensor technologies and execute complex data collection scenarios.

The Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific.
The team is developing the Boot and Operating System SW for our autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.