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We are seeking a highly motivated,self-driven and technically skilled Technical Account Manager to join our Delivery team and take on ownership of core, customer-facing product features critical to delivering value and involving mulltiple touchpoints in the company. In parallel, you will be responsible for managing key relationships with several of our strategic US and EU customers. This role blends deep technical skills, direct customer engagement, and cross-functional collaboration ideal for someone who thrives in high-impact, fast-paced environments.​

This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world often, and quickly.

What Youll Do:
Gain a deep understanding of our customers working processes, business goals, key performance indicators, and work to achieve them.
Manage all aspects of Prismas customer accounts, including pre-sale, support, delivery, and post-sale activities.
As part of the role you will take ownership of planning, executing, and monitoring complex internal projects from inception to completion.
Collaborate with the Product, CSM, R&D and Ops departments to provide insights according to our customers needs.
Hands on analysis and dive into details to provide customer insights and improvement actions.
Operate in a dynamic, high-growth environment with evolving priorities and pre-defined timelines.

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.

We are seeking a highly skilled and motivated MLOps Engineer to join our team and play a critical role in the deployment, automation, and maintenance of our Machine Learning infrastructure. You will be responsible for ensuring that our ML models move seamlessly from experimentation to production with stability, security, and scalability in mind. You will work closely with data scientists, Machine Learning engineers, and DevOps teams to build robust model pipelines, manage infrastructure across on-prem and cloud, and enforce best practices in version control, model deployment, and compliance. Key Responsibilities: Design, implement, and maintain automated model training pipelines using tools such as MLflow, (Kubeflow, Airflow), or custom orchestrators. Support reproducibility and consistency across model training environments. Implement and manage Artifactory. Establish and maintain model registries to track versions, metadata, and lineage. Automate model promotion through staging, testing, and production environments. Build CI/CD pipelines tailored for ML use cases, integrating model training, validation, deployment, and rollback. Manage and scale infrastructure across cloud platforms (Azure) and on-premise environments Optimize GPU/CPU resource utilization and cost efficiency. Implement auto-scaling and load balancing strategies for ML workloads. Manage version control systems (e.g., Git) and integrate with experiment tracking tools. Handle Storage and retrieval of artifacts (e.g., Docker images, models, datasets) via artifact registries like JFrog Artifactory or AWS ECR.

We seek a motivated and detail-oriented student to join our SW-ALGO team. In this role, you will be supporting the development and validation of signal processing algorithms and software, working mainly in C++, but also some Matlab and Python. You will collaborate closely with our SW algorithm engineers and system engineers. Our team works on cutting-edge digital communications projects, aiming to develop innovative signal processing algorithms and software.

This exciting part-time opportunity is based in our Haifa office and requires a minimum of two on-site workdays per week. Candidates should have at least four semesters remaining before completing their studies.

Responsibilities:
Assist in the development and testing process of SW algorithms, ensuring accuracy and reliability, including bit-exact testing.
Develop and maintain scripts and automation tools to streamline processes.
Participate in laboratory and experimental activities, including setup and data collection.
Debug complex SW issues through log analysis and on-target testing and find SW solutions.