דרושים » הנדסה » Senior Algorithm engineer - TLV (Hybrid) 775736

Were looking for a passionate and experienced Computer Vision Algorithms Engineer to join our applied algorithms team and help shape the future of Digital Twin technology. In this role, you will research, design, implement, and optimize advanced machine learning and computer vision models to process and extract insights from data captured by our autonomous drone hives and other imaging systems.

Your work will go from research to real-world impact, delivering robust, production-ready solutions that power mission-critical operations for global enterprises across telecom, wind, and solar. Youll collaborate closely with cross-functional teams to ensure that the algorithms you build are not only accurate and scalable but also aligned with mission of enabling enterprises to digitize smarter, faster, and safer.

Job Description:

Develop algorithms to solve challenging computer vision problems, reducing customers manual workfrom survey analysis to optimal drone flight planning.
Combine methods from deep learning, object detection, segmentation, classification, photogrammetry, 3D mapping, geometry, image processing, and optimization.
Conduct research and feasibility studies, define algorithm requirements, and integrate solutions into the product.
Bring solutions from theory to production, collaborating with cross-functional teams (Product, R&D, Operations) to align on goals and deliverables.
Take ownership of integrating AI capabilities into production and iterating based on real-world feedback.
Work with an agile team of experts working in cutting-edge software development methodologies, to deliver quality software to our customers.

We are looking for an experienced Senior Algorithm Engineer with expertise in Computer Vision to join our AI team. In this role, you will design, develop, and optimize state-of-the-art vision-based algorithms that power our AI-driven solutions. You will work with large-scale real-world data, contribute to cutting-edge research, and play a key role in bringing advanced AI capabilities to millions of users worldwide.
Responsibilities:
Design, develop, and optimize Computer Vision and Deep Learning algorithms for real-time AI-driven applications.
Work with large-scale visual datasets to train, test, and validate models.
Research and implement state-of-the-art machine learning techniques, including object detection, image segmentation, scene recognition, and 3D processing.
Enhance the efficiency, accuracy, and robustness of existing vision-based models.
Collaborate with software engineers, data scientists, and product teams to integrate algorithms into AI-powered platform.
Stay up to date with the latest advancements in Computer Vision, AI, and Generative Models.

Required Algorithms Engineer - 3D Perception
Which department will you join?
The AV sensing group is responsible for the critical and challenging task of object detection and scene comprehension using LiDAR and Radar sensors.
This role requires working at our Ramat Gan offices at least 2 days per week.
What will your job look like:
Develop algorithms for processing and validating 3D sensor data
Build and maintain geometric libraries and tools for spatial data processing
Combine classic programming with algorithm development in Python
Work on problems involving 3D geometry, coordinate systems, and sensor calibration
Take ownership of algorithmic challenges from research to production implementation
Collaborate with other teams to integrate solutions into the broader system.

Required Senior Deep Learning Algorithm Developer
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.

Senior software engineer Vision & GNC About the Role: We are seeking a Senior software engineer to lead the development of advanced Computer Vision and Guidance, Navigation & Control (GNC) software for cutting-edge UAV systems. This position offers the opportunity to design and implement complex algorithms and high-performance software that power autonomous flight, Real-Time decision-making, and mission execution in challenging environments.

You will take ownership of key components in the autonomy stack, working closely with cross-functional teams in infrastructure, mission control, systems engineering, flight operations, and product. This is a hands-on role for an experienced engineer who is passionate about autonomy, robotics, and intelligent airborne systems. Key Responsibilities:
Design, develop, and optimize Vision and GNC software modules for autonomous UAVs.
Lead complex feature development from concept through production.
Integrate advanced computer vision algorithms, including VIO, tracking, motion detection, and image stabilization.
Develop guidance and control algorithms enabling precise navigation, hovering, and targeting.
Collaborate with multi-disciplinary teams to ensure robust integration and Real-Time performance.
Translate research and prototypes into reliable, production-grade software.
Mentor junior engineers and contribute to technical excellence within the team.

We are searching for world-class Scientist Engineers to join our growing software architecture Research team. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, Communications, AI and Distributed GPU computing, and working alongside top experts in these fields. With incredible resources in networking and compute, you will be able to impact, contribute and advance these domains for scalable accelerated computing. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, distributed accelerator networks, AI for networking and security, storage management, cryptography accelerators and architecture, LLM network traffic optimizations and AI collectives. With its unique open culture, We are one of the best industry labs to do Accelerated Computing research.

What youll be doing:

Enhance our GPU Networking offerings for accelerating AI workloads, such as our Dynamo or our NIXL.

Develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.

Create proof-of-concept to evaluate and drive such new technologies.

Work on impactful projects involving state-of-the-art high-performance computing software and hardware.

Designing and implementing services, runtime systems, and applications over SDK.

Partner and collaborate with other forward-thinking team members and external researchers.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

In your role, you will be tasked with designing ISP components solutions that leverage major deep learning-based technological advancements. You will push the ISP quality from an ISP baseline to an advanced cutting-edge ISP, taking your proposed solutions from proof-of-concepts to production. You will review both academic literature and product- grade solutions, and design and implement dedicated solutions which are optimized to run on embedded HW. You will be responsible for the end-to-end implementation while ensuring design considerations to the system level, targeting carrying out deployment of your solutions to Vision Processor.

Responsibilities
Be a domain expert in the field of image enhancement for video cameras, using neural networks in particular.
Work with the product team to translate high-level product functions to the system building blocks and driving R&D efforts to implement them.
Implement proof-of-concept projects, raising your ideas as well as taking ideas from publications, such that they will fit product requirements.
Demonstrate technological leadership in a multi-disciplinary environment. You will be working with both external partners and internal technical leadership. You will be expected to understand all the relevant aspects in a detailed manner, and be both a technical and project focal point for all aspects of the project.