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As our AI Team Lead, you will sit at the intersection of cutting-edge research and production engineering, guiding a high-performing team of Data Scientists and Engineers. This is a deeply hands-on leadership role where you will drive the end-to-end lifecycle-from initial research and PyTorch training to deploying sophisticated multi-modal AI (Text, Image, Audio, and Video) in high-throughput environments. Join us in building the future of responsible AI adoption and digital integrity.

Responsibilities
Manage and grow a high-performing team of AI researchers and engineers, fostering technical excellence.
Drive the design and training of multimodal models applications (Text, Image, Audio, Video) using PyTorch.
Own the AI roadmap from initial concept to scalable, high-throughput production.
Partner with Product, Backend, and Security teams to integrate AI solutions globally.
Stay at the forefront of GenAI/LLM research to continuously improve our detection engines.

We are seeking for an Electromechanical Quality Controller. This role requires electrical and visual inspection of complex units (LRU/SRU) in-process inspections, final inspection before delivery to the customer. Monitoring and investigating incidents and leading improvement processes. In addition, performing and testing the first item according to standard: 9100AS. Reviewing documentation and checking documents as well as initiating activity to approve exceptions and monitoring performance.

About Buildots Buildots is the world’s most advanced construction intelligence platform. By comparing schedules and BIM against site reality, its advanced AI transforms granular data into insights that unlock operational excellence. Fortune 500 contractors and owners trust Buildots, including HOCHTIEF, Bouygues, Intel, NCC and VINCI Construction. Its impact is proven at every scale, from multi-family projects to multi-gigawatt data centers.
What is Construction Solution in Buildots The Construction Solution team is the professional and technical backbone of Buildots Operations, responsible for creating and maintaining the Digital Twin framework for our clients. This involves integrating client models, schedules, and construction methodologies with Buildots’ proven workflows to create a digital twin that accurately represents how projects are built. Our solution managers are construction professionals with hands-on industry expertise, complemented by deep knowledge of the Buildots platform. They oversee the full lifecycle of projects from setup to ongoing maintenance while engaging directly with clients to ensure the system consistently delivers measurable value. With a regional structure and global coverage, the Construction Solution team aligns Buildots’ tools and methods to meet local market requirements while contributing to the continuous evolution of our solution.
What You'll Do:
* Design and implement Buildots’ solution for local and global projects, ensuring alignment with client needs and project realities.
* Lead technical and construction-focused discussions with clients during discovery and implementation.
* Act as a construction subject matter expert within Buildots, guiding internal teams with your field experience.
* Translate project construction methodologies into Buildots’ digital twin framework, creating systems that reflect how projects are actually built.
* Combine Buildots’ design standards with client-specific requirements to maximize the value of the platform across the project lifecycle.
* Contribute to the continuous improvement of Buildots’ design methodology by sharing insights, lessons learned, and best practices.
* Play a key role during implementation and onboarding, representing both client needs and Buildots’ strategy in discovery sessions.
* Collaborate with various teams, such as Customer Success, Account Management, and Product to ensure client success and alignment with company goals.
Requirements 3+ years of field experience in construction projects, ideally including large-scale or major projects (e.g., data centers, fabrication facilities, or other complex builds).
* Degree in Civil/Structural Engineering, Construction Management, or a related discipline.
* Excellent verbal and written communication skills in English and Hebrew.
* Working knowledge of BIM environments and 3D modeling software.
* Solid understanding of MEP systems and construction methodologies, particularly in projects with significant scale and technical demands.
* Exceptional organizational, time management, and problem solving skills.
* Strong interpersonal and interface management skills, with the ability to engage confidently with clients, lead discovery sessions, and communicate effectively with on-site construction professionals.
* Tech-savvy, proficient in MS Office and Google Workspace.
* Comfortable working in a fast-paced, dynamic, and evolving environment.
* Ability to attend the Tel Aviv office at least 4 days per week.
* Position may involve non-standard working hours to accommodate international client schedules and maintain alignment across time zones.
Preferred Qualifications:
* Experience with large-scale projects or complex MEP construction projects such as data centers, fabrication facilities, or other technically complex builds.
* Proficiency in 3D coordination and BIM tools such as Revit, Naviswo

We are seeking for an software engineer
This role requires software planning and development - involvement in software architecture development, making technological decisions, writing code in C ++, Planning work processes and schedules, working closely with project managers and clients and writing software documents SDP, SRS, SDD. Full-time position Sunday-Thursday in Holon.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We are looking for an experienced Research Scientist, Sensing to push UVeye’s inspection beyond today’s sensing stack. You will evaluate, prototype, and develop AI models for new sensing modalities such as thermal, hyperspectral, acoustic, radar, structured light, and event cameras, surfacing vehicle defects that today’s systems cannot see.
A day in the life and how you’ll make an impact
* Survey emerging sensing technologies and identify the modalities most likely to expand UVeye’s defect coverage.
* Prototype with new hardware, build small-scale datasets from scratch, and train modality-specific models.
* Run controlled experiments that benchmark new modalities against today’s inspection stack on shared defect scenarios.
* Develop multi-modal fusion approaches that combine new and existing sensors for stronger detection.
* Recommend which modalities graduate into product and partner with R&D and product on integration.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we pioneered the world's first fully automated suite of AI-powered vehicle inspection systems, combining computer vision, machine learning, and generative AI. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide. Named one of Fast Company's Most Innovative Companies of 2026, our 300+ global employees are solutions-oriented, accountable, and driven by one shared goal: making roads safer for everyone.
We are looking for an experienced Robotics AI Engineer to build the AI core of UVeye’s robotics inspection platform. You will design and ship the perception and policy models that let a mobile, dexterous robot approach a vehicle, position sensors, and complete inspection tasks reliably in real-world environments.
A day in the life and how you’ll make an impact
* Design and train deep learning models for robot perception, including 3D scene understanding, vehicle pose, and occlusion handling.
* Develop visuomotor and policy models for sensor positioning, navigation, and manipulation around vehicles.
* Adapt and integrate UVeye’s existing inspection models onto the robotic platform.
* Build sim-to-real pipelines and run experiments in simulation and on real hardware, iterating fast on failure modes.
* Own the technical quality and reliability of the AI stack as it moves from prototype to production.