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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

We are looking for a Salesforce Project Manager that will be in charge of leading and implementing delivery projects and will oversee business processes for customers located in Israel and abroad.

As a Project Manager, you have a strong desire to grow beyond managing tasks and timelines. You are passionate about leading interesting and complex projects that deliver business value, developing trusting relationships with clients, and being adaptive to changing project constraints.

As the Project Manager, you will work closely with various technical and non-technical team members. You will be the subject matter expert on agile project methodology, managing dependencies, scoping, mitigating risks, resolving issues, authoring contract change orders, and managing timelines and budgets.

Summary of Key Responsibilities:
Oversee and take responsibility for the successful completion and timeliness of Salesforce projects within a set budget
Manage stakeholders and teams working with multiple clients onsite and remotely
Lead, define and prioritize business functional requirements
Produce and manage a detailed project plan to suit customer requirements
Participate in the creation and review of all project documentation
Set and manage deadlines with clients and internal team: assign responsibilities, monitor the progress of projects, create weekly client status reports and calls
Serve as the main contact for client relationships and communication

We are seeking a Director of Sales Engineering Excellence to lead the development and enforcement of global methodology, enablement programs, and process standards for our Sales Engineering organization. This is a professional leadership role not a people management position focused on empowering Sales Engineers to deliver high-quality presales work at scale.



The ideal candidate is a hands-on expert in Mobile Telecom (5G, 4G, 3G) with a strong understanding of sales engineering workflows. You will drive operational readiness, presales methodology, training, tooling, and cross-functional coordination ensuring teams are consistently equipped, aligned, and prepared.

Responsibilities
Define and maintain Sales Engineering methodology, covering the full presales lifecycle: qualification, discovery, demos, POCs, and RFPs.

Own and enforce global process standards, ensuring consistency, quality, and repeatability across regions.

Develop and deliver training programs for onboarding and continuous development of Sales Engineers.

Ensure demo and POC environments are available, technically accurate, and aligned with customer use cases working closely with PSO and product teams.

Manage the internal Sales Engineering portal and knowledge base, including templates, best practices, and tools.

Coordinate presales content development, including presentations and technical collateral, in collaboration with Marketing and Product.

Conduct regular readiness checks and internal audits, identifying gaps and driving corrective actions.

Act as a central coordination point for feedback, alignment, and internal communication across the Sales Engineering function.

We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.

Responsibilities
Design and development of high-quality big data processing engineer

Identify and proactively address potential product risks and challenges and ensuring success

Work closely with stakeholders to transform requirements into technical specifications

Ensure that the code is consistent with industry coding standards and best practices

Take a deep dive into the technical details and provide expert advice and solutions

we are looking for a Data Scientist Team Lead
Responsibilities
As an AI/ML Team Lead, your responsibilities include:

Leading and mentoring a team of AI engineers, fostering a culture of innovation, collaboration, and continuous learning.

Working with product managers, software engineers, and designers to identify and prioritize AI-driven features and enhancements.

Developing the next generation of DPI and QoE AI/ML engines and integrating them into the product.

Maintaining existing AI/ML engines.

Promoting best practices in AI development, including model evaluation, testing, and monitoring.

We are looking for an experienced Software Engineer for the Research Team with extensive knowledge in C++ development on Linux to join our research team. If you're passionate about building high-performance systems, designing scalable software, and optimizing complex architectures, we want to hear from you!


Responsibilities
Developing high-performance prototypes in C++ on Linux.

Designing software solutions using design patterns to enhance maintainability and efficiency.

Collaborating with cross-functional teams to align software design with business objectives.

Integrating prototypes with the main RADCOM data capturing pipeline while ensuring scalability and reliability.

we are looking for a Technical Lead
Responsibilities
Act as a feature owner, driving the design, development, and delivery of key components in RADCOMs high-performance monitoring system.

Take technical ownership of major projects, ensuring high-quality architecture, performance, and scalability.

Design and implement efficient algorithms and data structures to optimize system functionality.

Identify system bottlenecks and implement optimizations for high-speed performance in a multi-threaded, real-time environment.

Oversee the full software development lifecycle, from architecture and design to deployment and production support.

Work closely with cross-functional teams (Product, DevOps, QA, R&D) to define technical requirements and align on project goals.

Conduct code reviews, enforce best practices, and drive technical improvements across the codebase.

Stay up-to-date with emerging technologies, evaluating their potential impact on system performance and scalability.

We are seeking an experienced AWS Cloud Data Solution Architect to lead the professional Data domain, analytics, AI and ML, and GenAI in Israel. As a Data Architect, you will be responsible for Data presale engagements with potential customers to understand their business needs and translate them into technical solutions. In addition, you will be required to own the team's professional knowledge, including building and executing training plans to meet the market needs and our business targets. As a Data Architect Lead, you will be working with customers, including C-level and IT people, and closely with solutions architects and project managers.

We are looking for a candidate with a proven ability to simplify, innovate, and transform complex systems into streamlined, adaptable, and intelligent applications that meet cutting-edge business needs. The ideal individual will be self-motivated and adept at addressing the data requirements of diverse teams, systems, and products. This role offers the opportunity to optimize and reimagine customers' data infrastructure, designing and scaling systems that power next-generation products and GenAI technologies. A strong focus on ensuring data quality, security, and governance across the organization is essential.

Responsibilities:
Support sales processes by designing and delivering agile Data and AI projects in collaboration with the account managers, project managers, and delivery managers of us.
Design and develop innovative Data and AI solutions tailored to meet customers needs
Lead strategic discussions, including technical presentations, with business stakeholders to understand organizational data needs and identify opportunities to derive actionable insights, enabling data-driven decision-making and aligning data strategies with business objectives.
Own the technical solutions for data, analytics, AI, and ML projects.
Build POCs for customers (hands-on).
Deliver top-quality design and architecture documents to our customers.
Build and control training plans for the team members towards new technologies required for future projects.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.