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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 over $200M 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 hiring a highly skilled and motivated Generative AI Researcher to join our talented research team. As a Generative AI Researcher, you will be responsible for developing and implementing cutting-edge multi-modality LLMs to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy genAI-powered solutions that enhance our products and services.
A day in the life and how you’ll make an impact: Designing, developing, and implementing multi-modality generative AI models and algorithms utilizing state-of-the-art techniques
* Collaborating with cross-functional teams to define genAI project requirements and objectives, ensuring alignment with overall business goals.
* Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
* Publish in high profile venues such as Nature, Science, CVPR, NeurIPS, ICML or similar
* Optimizing existing generative AI models for improved performance, scalability, and efficiency.
* Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
* Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
* Contributing to the establishment of best practices and standards for generative AI development within the organization
* Providing technical mentorship and guidance to junior team members

Landa invites you to join an innovative and dynamic R&D team, working on leading-edge industrial presses. As an Inkjet System Engineer, you will work on cutting-edge inkjet systems while collaborating with multi-disciplinary teams in designing, developing, and optimizing print heads' operating conditions and maintenance systems.

Responsibilities:

* Ability to clarify & translate product & marketing requirements into system requirements.
* Planning and executing experiments involving inkjet print heads, ink delivery systems, and printhead support systems in Landa R&D presses and inkjet lab.
* Perform Large data sets analysis and reporting.
* Develop Diagnostic tools.
* Design the tests, validate, and approve the implementation.
* Data mining & analytical capabilities
* Lead methodological problem-solving and escalations from customers and within the organization.
* Receive and proactively seek field and production feedback, drive ongoing product improvements, and identify performance and capability enhancement opportunities.
* Extract SW/control and system modification requirements.


Attributes:

* Interpersonal skills and excellent teamwork - the ability to meet technical and human challenges.
* Ability to lead research assignments independently.
* Ability to lead without authority, Assertive and proactive.
* Fluent in Hebrew and English

We are seeking a talented and motivated inertial navigation engineer to join our team and make a significant impact on the future of navigation for military EO systems
Responsibilities:
Design and develop algorithms for inertial navigation systems based on inertial measurements units and computer vision algorithms
Analyze and interpret sensor data from gyroscopes, accelerometers, magnetometers, and other sensors
Develop and implement sensor fusion algorithms to combine INS data with other navigation sources (GPS, registered video, etc.)
Design and implement software modules for INS functionality
Participate in hardware design and selection of IMU components
Conduct simulations and analyses to evaluate INS performance and accuracy
Perform hardware and software testing of INS prototypes
Collaborate with other engineers and stakeholders to integrate INS into systems
Prepare technical documentation and reports.