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We are looking for a talented Automation Engineer to join our team.
As a team, we are focused on delivering high-quality, scalable infrastructure and backend features.
In this role, youll be responsible for developing and maintaining automation tests and infrastructure, while also contributing to MANUAL QA efforts when needed. Youll collaborate closely with developers, product managers, and QA professionals to ensure the reliability and performance of our systems.
What Youll Do:
Develop and maintain automation tests and infrastructure to support backend and data -intensive features. Be responsible for performance, system, and correctness tests for the team. Expand automation TEST coverage across multiple components and environments. Participate in manual testing efforts when needed, especially during regression cycles or critical releases. Collaborate with developers, product managers, and other QA engineers to ensure seamless workflows and high-quality deliverables. Participate in code reviews and provide feedback on quality and performance-related issues. Be an integral part of grooming, retrospective, and sprint planning meetings to help shape priorities, improve processes, and ensure team alignment. Stay current with industry trends and best practices in automation and Quality Assurance.

Position Intro:
We are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. We have been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

we are a global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions. Across the company, Senior Deep Learning Algorithm Developers work at the forefront of AV/ADAS innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. This includes working with large-scale datasets, leveraging frameworks like PyTorch or TensorFlow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios. At our company, Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

we are a pioneering force in the autonomous vehicles (AV) industry. Join us to build the brain behind the car a large-scale, multi-task neural network that powers the core of our companys autonomous stack. Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions. From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems. If youre a brilliant, hands-on researcher with a passion for shaping the future this is your launchpad.
Why us?
Our team is at the forefront of our companys most advanced AI efforts.
As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products.
If youre seeking a high-impact role among top-tier researchers and developers this is the place to be.

we are looking for a Senior Hardware Engineer to join our AV Platform HW Development group in Israel to design the next generation of autonomous driving systems.
What will your job look like?
Responsible for specifying the hardware for our autonomous driving systems
Lead the HW design process: product specification, electrical schematics, component selection, layout, hands-on testing in a lab environment, verification, accompanying production and qualification processes
Define Signal integrity simulations (LPDDR4, MIPI, FPD-link, etc.), perform power integrity (DC drop, PDN AC analysis) and analog simulations (like spice).
Manage the technical interface with our customers to derive the product hardware requirements
Work in collaboration with all the project disciplines: system architecture, mechanical and thermal, software (networking and algorithms), safety and reliability.

Were looking for a highly skilled Python Developer to join our engineering team. In this role, youll design, develop, and maintain backend systems that support our companys production and internal applications. Youll work across teams to deliver scalable, high-availability solutions, ensuring smooth operation of production environments and future web-based applications.
What will your job look like?
Design, develop, and maintain scalable, high-performance backend systems using Python.
Collaborate with cross-functional teams to build end-to-end solutions, occasionally including frontend integration using modern frameworks (React, Angular, or Vue).
Design and manage databases (SQL and NoSQL), focusing on performance, reliability, and data integrity.
Support and enhance production line applications, ensuring high availability, resilience, and fault tolerance.
Build, containerize, and deploy applications using Docker and Kubernetes on Linux environments.
Implement and manage CI/CD pipelines using GitLab CI for automated testing and deployment.
Work with AWS services to deploy, monitor, and scale applications in the cloud.
Optimize performance-critical components using C++ and/or Cython where needed.
Participate in architecture design, code reviews, and mentoring of junior developers.