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Which department will you join?
The Infra development team is a part of Software Algorithm (SW Algo) Department at our company responsible for the software infrastructure and development algo utilities for autonomous driving algorithm code running on our company's platform. As part of the end-to-end autonomous vehicle flows, we get to see our code running in the most advanced algorithms and use cases, which are developed by our team and algorithm groups. The development environment is mostly based on C/C++ programming within computer vision domains.
As a Senior C++ Developer in the SW@Algo Department, you will play a key role in designing, building, and maintaining Algo utility and software infrastructure within the company's primary algorithmic flow.
** This role offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like:
Leading the development of high-performance applications using C++ and optimizing the existing codebase for efficiency and scalability
Collaborating with multiple departments in our company to acquire broad insights into algorithmic and technical details, ensuring seamless integration with the overall system
Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements
Working closely with external algo teams and various departments in our company for requirement gathering and the correct integration of new features
Engaging with different environments in our company's software stack, including backend and middleware, to ensure the smooth operation of the software infrastructure
Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry
Exposure to advanced algorithms and use cases, showcasing your expertise to a wide audience
Collaboration with a talented and passionate team of developers, algorithm engineers, and other professionals.

Want to make a real impact with your worknot just on your company, but on the world?
Beewise is one of the most innovative and impactful startups youve (probably) never heard ofyet. Were the first company to successfully scale up the saving of bees using cutting-edge technology, ensuring the security of the global food supply.

Our product, the Beehome, is a robotic beehive designed to protect and support bee colonies using advanced vision systems, sensors, and autonomous decision-making. It monitors hive health and optimizes beekeeping actions in real-time using AI, computer vision, robotics, and precision engineering.
Roles and responsibilities:
As a Robotic Vision Engineer, you will take full ownership of the design, implementation, and maintenance of our robotic perception systems. From concept to deployment, you will shape how our robotic platforms see and interact with the beehive environment.

Youll work on:
Translating raw visual data into precise 3D positioning for robotic movements
Vision fusion, object detection, feature classification, and 3D geometry analysis
Testing your solutions in real-world systems and refining for accuracy and robustness
Developing both deep learning models and classic algorithmic techniques

we are looking for a developer to join a team that is building a state-of-the-art Data Platform.
The autonomous vehicle project generates huge amounts of data and our challenge is to enable it for usage by the entire organization (DL/ML developers, Product Managers, Analysts, and more.)
We are using a top-notch tech stack to solve problems multiple databases and big data frameworks, data streaming, AWS infrastructure on a large scale, and many more.
What will your job look like:
Work on a large-scale system from its early stages and watch it evolve
Take part in the design & development of a multi-service cloud-based big data platform
Evaluate various optional technologies and take part in decision-making
Own key features and services.

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, including the EyeQ chip, company SuperVision, company Drive, and company Chauffeur, leverage computer vision and machine learning to enhance vehicle safety and enable self-driving capabilities. Integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.
In our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems.
What will your job look like:
Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problems
Evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
Collaborate with cross-functional teams to understand requirements and develop solutions
Optimize existing algorithms to improve performance and scalability.

We are seeking a proactive and detail-oriented Junior Field Operations to join our team. This role is based in the field, with the expectation of visiting approximately two customers/partners per day. The successful candidate will be responsible for supporting key operational tasks, including training on merchant apps, assisting with picking and stocking, improving performance metrics, and reporting issues. This role plays a crucial part in ensuring smooth daily operations and maintaining a high level of accuracy in inventory management and order fulfillment.

What you'll be doing
Field Visits: This role includes four days per week in the field, visiting approximately two clients/partners each day to provide on-site support, training, and guidance on operational processes.
Merchant App Training: Provide training to team members on the use of merchant apps for order processing, inventory management, and operational tasks.
Assisting with Picking & Stocking: Help with accurately picking items for customer orders and efficiently stocking inventory to ensure availability and minimize out-of-stock items.
Reduce Offline Time: Proactively monitor and reduce downtime by ensuring the smooth operation of systems and equipment.
Reduce Missing Items: Work to improve order accuracy by reducing the number of missing items during order fulfillment.
Improve Substitution Rate: Ensure appropriate substitutions for out-of-stock items to meet customer expectations.
Improve POFR (Perfect Order Fulfillment Rate): Support efforts to enhance the accuracy and completeness of customer orders, leading to improved overall satisfaction.
Reporting Venue Issues: Identify and promptly report any operational or logistical issues related to the venue that could impact order fulfillment or inventory management.
Assortment Health: Monitor and maintain the health of product assortments, ensuring that popular items are adequately stocked and slow-moving items are reviewed for relevance.
Reporting to Supervisor: Communicate regularly with the supervisor to report on daily performance, challenges, and any operational issues.
Cycle Count: Assist in conducting regular cycle counts to ensure inventory accuracy, minimize discrepancies, and report findings.

The System Engineer will join our growing system engineering group to support and lead the design, characterization, implementation, integration, and sustained engineering of our multidisciplinary, world-first autonomous robotic Bee-hive.
Roles and responsibilities:
Lead the project R&D development, defining system architecture, system processes, and engineering trade-offs, involving knowledge in mechanics, control systems, electronics, embedded software, cloud computing, and computer vision.
Define the engineering system requirements and support the implementation, integration, and testing phases.
Managing cross-functional team work.
Lead the sustained engineering of the bee-home from all aspects in the field and production line.

The Surround-Perception group is dedicated to solving advanced vision problems, with a focus on 3D domain encompassing reconstruction and object detection. Our team research, develops, and deploys cutting-edge techniques to achieve world-class results, contributing to the safe advancement of Autonomous Driving.
What will your job look like:
Conduct research and develop innovative Computer Vision and Deep Learning algorithms in areas such as Object Detection and Tracking, Depth Sensing, and 3D Reconstruction.
Engage in cutting-edge Computer Vision projects, from the data science and research stages, through proof of feasibility to the deployment of solutions.
Performance-oriented deployment of Computer Vision and Deep Learning algorithms on a Real-Time embedded chip for autonomous driving.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Continuously learn and stay updated on the latest advancements in relevant research fields that impact our daily work.

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.

we are a global leader in autonomous vehicle (AV) technology. If youre an experienced deep learning developer driven by a passion to shape the future of mobility, join us to make AV a reality.
Object Perception team leverages cutting-edge multi-task deep learning to provide AVs with a rich understanding of vehicle behavior and interactions. Using vast amounts of video data, our algorithms capture intricate semantics and time-sensitive features, forming the backbone of AV scene understanding.
What will your job look like?
Design, develop, and optimize deep learning models that extract complex, dynamic insights from real-world scenes.
Collaborate across teams to solve key technical challenges and ensure model scalability.
Research and integrate the latest advancements in multi-task learning, temporal analysis, and AI architectures into our solutions.
Enhance and refine algorithmic performance through rigorous experimentation and innovation.
Develop primarily in Python, with occasional work in C++.
Work environment: Hybrid schedule: 4 days in-office (Tel Aviv or Jerusalem) and 1 day remote.

We are looking for an exceptional Senior Embedded Software Engineer
Software Integrator team is responsible for the integration of the SW & HW solutions in our company's Embedded automotive platforms- including the necessary HW bring-up, debug and configuration to achieve proper operation of the new SW and HW together.

What will your job look like:
Design and configure complex Ethernet networks, with high performance and low latency requirements, precise network clock sync, and detailed traffic segregation and security.
Write code and tools managing switches in those networks in modern C++
Write Python test scripts for that code.
Oversee version validation, trouble shoot issue in configuration and software, participate in cross teams work sessions.