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We're looking for people who have managed complex technology projects, ideally in healthcare or medical devices. Clinical trial experience and experience working inside pharma partnerships are significant advantages.
Major Duties & Responsibilities
Own end-to-end delivery for assigned programs across pipeline, which may span multiple therapeutic areas, stages of development, and partner-sponsored collaborations.
Manage planning, development, testing, and release of digital protocol features required for clinical and commercial readiness.
Build structured delivery plans covering scope, timelines, risks, and dependencies.
Keep Product, Engineering, QA/RA, Clinical, Medical, Regulatory, CMC, and Therapeutics aligned on requirements, timelines, and deliverables.
Serve as \day-to-day delivery counterpart to pharmaceutical partners: manage joint timelines and deliverables, run partner working groups, and prepare materials for joint steering and governance meetings.
Run cross-team meetings that drive accountability and on-time milestones.
Communicate program status, risks, and mitigation plans to internal leadership and external stakeholders.
Coordinate with external partners, including pharmaceutical partners, CROs, clinical sites, and technology vendors, and manage dependencies where partner decisions affect timelines.
Support preparation of program documentation, training materials, and operational tools.
Ensure delivery processes adhere to QMS and relevant regulatory standards for Software as a Medical Device (SaMD) and clinical studies.

We are looking for highly motivated, experienced, and passionate wireless algorithm experts for the research and design of advanced cellular communication algorithms, leveraging neural networks and machine learning techniques, for our 5G and beyond products.
What you'll do:
Conduct algorithmic research, balancing performance, implementation cost, real-time constraints, and time-to-market, with a strong focus on ML-based approaches for PHY layer processing.
Design and train neural network models for PHY tasks such as channel estimation, signal detection, beamforming, and decoding, targeting real-time inference on embedded platforms.
Develop algorithms from initial research and simulation through to official customer releases, including literature reviews, ML model prototyping using Python, PyTorch, and TensorFlow, MATLAB modeling, specification writing, and support throughout implementation and end-to-end integration.
Evaluate and benchmark ML-based solutions against traditional DSP approaches, considering accuracy, latency, computational cost, and overall system performance.

The Physics and Electro-Optics Cooled group at SCD is composed of Physicists, Engineers and Students.
Role and Responsibilities o Active support of Research and Development Activities of the different teams in Physics o Participating in Radiometric Characterization of the Detectors at different stages of Development o Develop and sustain Analysis and/or Simulations tools for R&D purpose (Mainly Matlab) o Perform Failure Analysis and Root Cause Analysis o Present and communicate the work to peers and Managers on regular basis o Supporting the different activities of the physics teams following needs in radiometric characterization/Measurement Setup Development/Automatization/Experiments etc.

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.

Hiring Manager:
Eyal Hollander

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

As a Wireless Design Verification Engineer, you will be part of a team that is responsible for pre-silicon RTL verification of communication subsystems, SoC sub-systems and chip-level functionality. The activity may focus on block level, sub-system level or chip level, including end-to-end simulations of the entire data/control path. You will interact with DV methodologists, designers and communication systems engineers to develop reusable testbench and verification environment deploying the latest methodology with metric driven verification.

Description
- Own critical block and sub-system verification of wireless SoC projects.
- Architect and develop testbenches and environments, by using state-of-the-art verification methodologies.
- Define verification plan, create, simulate and debug test scenarios.
- Drive regression and coverage analysis to ensure high quality DV.
- Collaborate with design and systems engineering teams to review requirements, specifications and architecture, extract features and define DV attribute.

Develop the optimization and computational-geometry algorithms at the core of us: for researchers who love hard, non-convex problems.

Required Senior DDR Design Verification Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will work as part of a Research and Development team. You will build verification components, constrained-random testing, and system testing. You will verify digital designs, collaborate closely with colleagues on projects, and perform direct validation. You will construct testbenches that exercise hardware through corner-cases and expose bugs. You will manage the full life-cycle from planning and execution to closing coverage.
Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry leading formal tools.
Identify and write all types of coverage measures for corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.