דרושים » מדעים מדוייקים » Junior Algorithm R D Engineer

we are looking for a Image Processing Algorithms Engineer.
You will be responsible for defining end-to-end solutions for image signal processing algorithms, both classical and deep learning-based, from the algorithm level to the system level. You will bring your own hands-on expertise, as well as technical leadership, to see these solutions come to life from inception to full implementation.
You will design ISP components and take them from proof-of-concept to production, pushing image quality to a cutting-edge level. You will survey both academic literature and product-grade solutions, then design and implement dedicated solutions optimized for embedded HW. In addition to striving for best possible image quality, you will be responsible for leading the end-to-end implementation via collaboration with SW and HW implementation teams, targeting deployment to Vision Processor.
Responsibilities:
Serve as a domain expert in the field of image enhancement for video cameras. In particular, you will serve as the technical focal point for your projects, owning and leading the end-to-end technical aspects, while collaborating with external partners, internal teams, other algorithms engineers and cross-functional experts.
Translate high-level product requirements to system ISP building blocks and drive R&D efforts to implement them.
Implement proof-of-concepts, based on both your own ideas as well as taking ideas from publications, and carrying these from theory into practice that fits product requirements.
Evaluate and test your solutions considering both image quality and overall system behavior, benchmarking against existing solutions and baselines. Iterate and improve in order to reach superior results or a better quality/performance tradeoff.

We are seeking PHY Algorithm Engineer, Silicon One Israel
Meet the Team:
You will join the SerDes System Algorithm team within Silicon One in Israel, part of our silicon development organization. The team works across modem technology, system modeling, and signal processing for high-speed SerDes devices.
We are at the center of our ASIC group, building next-generation network devices for AI networks, the 5G era, and the future of routing. Our design center brings silicon hardware and software disciplines together in one site, combining a small-team startup atmosphere with the scale and stability.
Your Impact:
As a PHY Algorithm Engineer, you will develop, model, configure, and optimize algorithms for advanced SerDes modem systems. You will work with the latest silicon technologies and processes to help build large-scale, complex devices at the edge of feasibility.
Your work will contribute to Silicon One, a unified and programmable silicon architecture designed for service provider and web-scale markets. The role requires technical depth in digital signal processing, modem behavior, using MATLAB for algorithm development from the idea to advanced SerDes systems.
Research, design and develop PHY and modem algorithms for high-speed SerDes devices.
Build and use system models to analyze modem behavior, signal-processing performance, and algorithm tradeoffs.
Configure, tune, and optimize modem behavior to improve performance, robustness, and implementation feasibility.
Use MATLAB for algorithm development, simulation, testing, and data analysis.
Collaborate with silicon hardware and software teams to move algorithms from modeling into practical implementation.
Support lab-based validation and debug activities when required.

Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We are the leading provider of obstacle detection, collision avoidance and drive able areas systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and perception solution, Rail Vision systems detect obstacles on and along the tracks from up to 2 kilometers away, in real-time, and in diverse weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analyzed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We’re looking for a brilliant Deep learning research engineer to join our Algorithms group. What will you do?
* Be a researcher of the core deep learning algorithms and communicate with other researchers.
* Design and implement advanced algorithms to solve complex problems.
* Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

Required AI Algorithm Engineer - Localization Team
Ramat Gan
Full time
You will be part of our REM (Road Experience Management) department, which is responsible for the automatic High-Definition map-making process, which is a key technology in our autonomous driving and high-end Driving Assistance systems.
Vision-based localization is a key enabler for utilizing and creating the maps. Our group is responsible for aligning the map with the world, and reporting detected changes during the drive. Our technology is safety-critical, and the code has strict time and memory constraints as it operates in real time.
What will your job look like:
Develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
Apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
Collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
Own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
Develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency.

Required Senior Deep Learning Algorithm Developer
Ramat Gan
Full time
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.
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 looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.
Location: Haifa \ Tel-Aviv in hybrid model.
Responsibilities
Develop advanced ML algorithms using data from our Agents embedded in silicon. Example domains include:
Lifetime predictions
Clustering and dimensionality reduction
Parametric modeling and screening
Time-series forecasting
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.

We are looking for an algorithm researcher to join our team and play a pivotal role in contributing to the company's on-going success.
What you will do:
End to end research, development and deployment of high frequency trading algorithms consisting of:
Creative thinking, performing research and literature review
Explore and design innovative and novel ideas in the fields of machine learning, statistics and signal processing
Development and application of trading algos in a highly competitive real time environment
Enjoy a very short development cycle from concept to live trading
Collaboration with other researchers / developers.

we are seeking an experienced and visionary Head of Research to lead, shape, and advance the future of AI innovation across the organization. In this role, you will own the research strategy end-to-end - from long-term roadmap design to hands-on exploration, and guide a multidisciplinary team of NLP research engineers and linguists toward breakthroughs that elevate our core medical coding engine.

You will play a key role in the company, balancing exploratory research with high-impact product delivery. You will partner with Product, Engineering, and executive stakeholders to identify strategic opportunities, drive prioritization, and translate research capabilities into real-world outcomes at scale.

Responsibilities:

Manage and mentor a multidisciplinary research team while driving both technical excellence and personal growth.
Define the long-term research roadmap aligned with product and business objectives.
Lead the full research lifecycle, from ideation and feasibility studies to experimentation, evaluation methods, and production-ready delivery.
Evaluate and introduce new research capabilities and emerging trends such as LLM-based reasoning, semantic/graph modeling, hybrid rule-learning, and other frontier techniques.
Continuously track scientific trends to maintain a state-of-the-art research practice.
Collaborate closely with Product and Engineering teams to translate domain challenges into algorithmic solutions with measurable product impact.
Represent the Research function at leadership forums, communicate priorities and outcomes, and align stakeholders around research strategies and milestones.