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We are looking for a Technical Project Manager to join our success and lead and implement Cloud, Data, and AI projects and business processes for our customers in Israel and Europe. The candidate must be a highly motivated team player with great problem-solving skills.

Key Responsibilities:
Own and manage customer engagements with the goal of creating happy, successful customers.
Acts as a bridge between solution architects/engineers and business stakeholders.
Build, manage, and monitor project plans from initiation through successful delivery.
Track budgets, deliverables, timelines, and project performance.
Identify, assess, and mitigate project risks.
Proactively drive projects to completion while ensuring quality and customer satisfaction.
Collaborate daily with development teams, customers, and stakeholders.
Coordinate activities across multiple vendors and partner organizations.

Ready for an intellectual challenge that combines Mathematics and CS theory in the context of hardware development? Keep reading.
In this role you will be responsible for developing mathematical proofs using model checking tools, to find RTL(Verilog) bugs or prove their absence
Not in the Formal domain? No worries, we offer thorough training to learn the theory and practice directly from our team experts
In this role you will be responsible for developing mathematical proofs using model checking tools, to find RTL(Verilog) bugs or prove their absence .
The position is relevant for both Herzliya/ Haifa site

In your role as a PHY Algorithms Development Engineer, as part of Connectivity Group, you will be part of a world-class group that pioneers design and development of Physical Layer algorithms (PHY) for wireless communication systems for products. We live in a mobile and device driven world where knowledge of the physical world around us is needed. We rely on this knowledge to get around, to learn about our environment and to enable spectacular new features for custom applications. meeting those needs as robustly and as creatively as possible and is interested in people who want to help meet that commitment. The success we are targeting will be the result of very skilled people working in an environment which cultivates creativity, partnership, and thinking of old problem in new ways. If that sounds like the kind of environment that you find intriguing, then let's talk.

We are looking for a candidate who can innovate and integrate signal processing technologies, by solving diverse sets of problems in various wireless communication and sensing technologies; - Develop communication signal processing algorithms for best-in-class implementation of various wireless standards - Conduct basic research of existing solutions in literature - Involvement in block level spec definition - Perform mathematical analyses of the given problem and its proposed solutions - Implement floating-point simulations to prove spec compliance of suggested solutions - Implement fixed-point modeling and simulation to allow performance sign-off and RTL bit-exact development - Write detailed design documents that will enable implementation of algorithms by other teams specializing in either RTL design or DSP firmware coding - Optimize and fine-tune the system for spec compliance on silicon in an RF lab environment

The ideal candidate is not afraid of data in any form or scale, and is experienced with cloud services to ingest, stream, store, and manipulate data. The Data Engineer will support new system designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. The candidate must be self-directed, a fast learner, and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers data architecture to support their next generation of products, data initiatives, and machine learning systems.

Summary of Key Responsibilities:
To meet compliance and regulatory requirements, keep our customers data separated and secure.
Design, Build, and operate the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL, cloud migration tools, and big data technologies.
Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operational problems.
Design, build, and operate large, complex data lakes that meet functional / non-functional business requirements.
Optimize various data types' ingestion, storage, processing, and retrieval, from near real-time events and IoT to unstructured data such as images, audio, video, documents, and in between.
Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.

We are seeking a dedicated Computer Vision Research Engineer to join our team. The job will focus on developing deep learning models for 3D reconstruction and perception using state-of-the-art deep learning techniques. As a key member of our team, you'll be involved in the entire process of crafting and training these models whose derivatives will be deployed in various products.

Imagine what you could do here. At, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

an Equal Opportunity Employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics. If you'd like more information about your EEO rights as an applicant, please click here. not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
Research:
Contribute to the development of algorithms and models within the domain of 3D vision
Implement and validate models using various data sets
Investigate the application of unsupervised data and knowledge distillation techniques to improve the performance of machine learning models
Conduct research to explore novel techniques and algorithms
Stay updated with recent advancements in the field
Design and apply various metrics to evaluate your work
Data Analysis:
Prepare, filter, process, and analyze large-scale datasets to train and evaluate models
Analyze the results of your algorithm and compare with other leading methods
Algorithm Optimization:
Optimize models for real-time performance and resource efficiency
Collaboration:
Work in sync with interdisciplinary teams to integrate models into larger products or research studies
Collaborate with international teams