DSP Researcher

Description:

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 DSP Researcher to join Prisma Photonics’ R&D team.

In this role, you will research and develop next-generation distributed fiber-optic sensing technologies, focusing on signal processing, system modeling, simulations, and experimental validation. Working at the intersection of physics, electro-optics, fiber-optic sensing, and DSP, you will transform complex physical phenomena into robust sensing solutions for real-world applications.

You will tackle challenging physical and algorithmic problems, contribute to cutting-edge sensing products, and collaborate closely with multidisciplinary R&D teams.

This role is ideal for someone who thrives in a fast-paced environment, enjoys working across disciplines, and is excited to take ideas from research and lab validation to large-scale deployment.

• Conduct experimental and theoretical R&D for Prisma’s next-generation distributed fiber-optic acoustic sensing systems.
• Develop, implement, and validate DSP algorithms for coherent optical sensing systems.
• Build end-to-end expertise across the full sensing pipeline, including optical signal generation and propagation, coherent detection, signal acquisition, DSP, and advanced data analysis.
• Design and run laboratory experiments to validate new concepts, improve system performance, and support current and future product generations.
• Develop simulations, models, and analysis tools using Python and/or C++ for lab experiments, field data analysis, signal processing, and system-level performance evaluation.
• Work with field experiment data to identify performance gaps, validate models, and improve sensing capabilities.
• Collaborate with R&D teams across disciplines to develop, validate, and integrate new sensing capabilities.
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.