Prisma-Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage.
Combining pioneering technology in optical fiber sensing with state-of-the-art machine learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly.
We are looking for a talented, self-driven, and hands-on Electro Optics Systems Engineer to join Prisma Photonics’ R&D team. In this role, you will develop and advance next-generation distributed fiber-optic acoustic sensing (DAS) systems, combining electro-optic system design, performance modeling, simulations, experimental validation, and field data analysis.
You will tackle complex physical and engineering challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative sensing technologies from concept to real-world deployment.
This role is ideal for someone who thrives in a fast-paced, hands-on R&D environment, enjoys working across disciplines, and wants to see their work translate into real-world impact.
What You’ll Do
- Lead experimental and theoretical R&D efforts for the development of Prisma’s next-generation distributed fiber-optic acoustic sensing systems.
- Design, evaluate, and optimize electro-optic interrogation systems for distributed acoustic sensing applications.
- Develop system-level models and simulations for optical signal generation, fiber propagation, coherent detection, system noise, SNR, and sensing performance.
- Build software tools and simulations in Python, C++, or similar languages for system evaluation, signal processing, field data analysis, and performance modeling.
- Plan, execute, and analyze laboratory and field experiments to validate system performance and support product development.
- Gain unique end-to-end expertise across the full sensing system pipeline, spanning fiber optics, electro-optics, coherent detection, DSP algorithms, and advanced data analysis.
- Lead product development activities from ideation and proof of concept through design, qualification, validation, and deployment.
- Collaborate closely with multidisciplinary R&D teams, including physicists, software engineers, algorithm developers, and hardware engineers.
- Communicate effectively with both technical and non-technical stakeholders, translating complex system behavior into clear insights and actionable recommendations.
What You Bring
- BSc or MSc in Physics, Optical Engineering, Electrical Engineering, system engineering or a related field.
- At least 4 years of experience in multidisciplinary electro-optic systems, either as a Systems Engineer or in hands-on electro-optic, fiber-optic system design, integration, testing, or performance evaluation.
- Experience with noise analysis, including phase noise, detector noise, amplifier noise, SNR, and related system performance metrics.
- Experience with advanced optical measurement techniques, laboratory setups, and system characterization.
- Strong programming skills in Python, C++, or similar languages.
- Excellent analytical and problem-solving skills, with the ability to connect physical phenomena, system behavior, and data-driven insights.
- Strong communication skills and the ability to work effectively both independently and as part of a multidisciplinary team.
- Ability to manage multiple projects and priorities in a dynamic, fast-paced environment.
Great to Have
- Knowledge in digital signal processing.
- Experience with telecom optical systems or coherent optical communication systems.
- Experience translating complex R&D concepts into robust system architectures, test plans, and product-ready solutions.
- Experience taking complex R&D systems from proof of concept to productization.