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Requied Deep Learning Algorithm Developer - ADAS group
Description
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

Were building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Algorithms Software Engineer to join us on this mission.

In this role, youll:

Research and develop next-gen code analysis and remediation algorithms.
Work hands-on with GenAI models and integrate them into detection workflows.
Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis).
Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations.

What You'll Do:
Design and implement machine learning and algorithmic solutions for code analysis.
Build GenAI-powered developer tools for static and semantic code analysis.
Enhance our existing detection infrastructure with intelligent, context-aware insights.
Translate cutting-edge research into practical, scalable product features.

Our Algorithm Research & Development team operates at the cutting edge of Cyber over RF (CRF) a unique and multidisciplinary field that blends signal processing, RF experimentation, physics-based modelling, and cyber research.

We work end-to-end: from early-stage research and concept development, through algorithm design and simulation, all the way to lab prototypes and real-world field testing. Its hands-on, intellectually demanding, and incredibly rewarding.

Were looking for a passionate engineer with a strong foundation in signal processing and an appetite for solving complex, real-world problems.

We are growing and looking for a talented Junior Algorithms Engineer Student to join our Research & Innovation group in Beer Sheva!
The position includes:
Development, experimentation and analysis of cutting-edge radar signal processing algorithms.
Rapid prototyping and testing of advanced radar concepts.
The position will provide you:
An opportunity to enter the exciting field of radar signal processing engineering.
An opportunity to work shoulder to shoulder and learn from leading experts in the field.

We are seeking a capable and experienced Algorithm engineer to join our R&D team. The engineer will be part of a team responsible for the core autonomy parts of the product responsible for developing the foundational algorithms that guide our autonomous vehicles. This role is a part of the group that oversees Motion Planning, Decision-Making, Localization, and Control, blending traditional robotics with state-of-the-art AI to solve the most challenging problems in autonomous driving. This is an opportunity to architect and deliver the core autonomy stack for a scalable, mapless L3-L4 system. You will work on cutting-edge algorithms, including Agentic AI and large-scale models, and see your innovations deployed on public roads in our global fleet of cars and buses. Responsibilities
* Be part of the development of four key domains: Motion Planning and Decision-Making: Oversee the trajectory planner and the decision-making module that sets the context for vehicle behavior. Localization: Guide the development of high-frequency, high-accuracy vehicle state estimation using advanced sensor fusion algorithms. Control: Supervise the design and implementation of the vehicle's lateral and longitudinal controllers.
* Drive innovation by integrating state-of-the-art (SOTA) methodologies, including Agentic AI, vision language models (VLMs), transformers, multi-agent prediction, trajectory optimization, uncertainty management, and safety-aware algorithms.
* Be part of a group involving multiple engineers, from initial research and prototyping to robust deployment and validation.
* Be part of a group in charge of complex data pipelines, from collection and annotation to model training and evaluation.

We are looking for a skilled Algorithm and Robotics Engineer to develop and implement advanced computer vision, slam and AI algorithms for autonomous robotic systems. The role involves hands-on work in deep learning, image-based training, and cloud-based development. Key Responsibilities Develop and optimize algorithms in:
* Computer vision and AI-based perception
* Image processing and training deep learning models on large-scale datasets
* Slam, Localization, Mapping and motion planning
* Implement Real-Time software solutions in Python and C ++ on Linux platforms.
* Use AWS for data processing, model training, and deployment pipelines.
* Collaborate with hardware and software teams to integrate algorithms into Embedded or robotic systems.
* Conduct data analysis, model validation, and performance optimization.

Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment those who want to be part of the next generation of airspace security innovation.
Join our company and help make the world a safer, smarter place.
Become a worker! Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
We are looking for a talented communication PHY algorithms engineer to join our
growing, highly motivated, and skilled modem research team, to lead and participate in
research of proprietary wireless communication signals and design modulators,
demodulators as part of our counter-drone cyber-based product.
Responsibilities:
Research and analysis of proprietary air interface: algorithm research of sampled wireless signals using MATLAB or Python, to define all radio characteristics including sample rate, modulation scheme, error corrections, spreading techniques and more.
Full modem implementation and simulation in MATLAB or Python.
Guide and support the FW, DSP and FPGA teams for concept implementation and debug.
Analysis and debug of PHY algorithms behavior and performance improvements.