דרושים » מדעים מדוייקים » Junior Algorithm R&D Engineer - תל אביב

BIRD Aerosystems is seeking a Radar Algorithm Engineer to join our team and contribute to the development of advanced radar systems. The ideal candidate will be responsible for designing, implementing, and optimizing radar algorithms to enhance detection and tracking capabilities.
Responsibilities:

* Design and develop radar signal processing algorithms.
* Optimize existing radar algorithms for performance and accuracy.
* Collaborate with cross-functional teams to integrate algorithms into radar systems.
* Conduct simulations and analyses to validate algorithm performance.
* Participate in field tests to evaluate and refine algorithms.
* Document algorithm designs and implementation details.

We are looking for a senior computer vision engineer: a hands on individual contributor whose work will be broad and touch many projects across the group, to lead long-term research initiatives and POCs that shape the technical direction of our technology.
What will your job look like:
Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.

We are looking for a highly talented Postgraduate Engineer - MSc/PhD to join our Autonomous Systems team and lead the development of a foundation model that will serve as the backbone of our autonomous robot.

Responsibilities:

Process large-scale, multi-modal data from diverse sources.
Design, develop, and build Foundation Models to support perception for autonomous agents.
Build data pipelines, training frameworks, and evaluation methodologies.

Required Deep Learning Algorithm Engineer | Learned-Policy Group
About the team:
Build the intelligence behind the next driving decision.
Were developing learning-based driving policies for complex, real-world
scenarios. Were looking for an engineer who can turn model ideas into reliable
algorithms that run as part of our driving systems.
Youll work across model development, training, evaluation, and integration.
Youll analyze model behavior, improve the data and training process, and work
with other teams to validate performance in simulation and on real vehicles.
This is a high-impact role with direct influence on a core part of our
driving technology and its future products.
What will your job look like?
Develop and improve deep learning models for planning, decision making, and driving behavior.
Work across the full development cycle, from research papers and
prototyping models to building data and evaluation tools, debugging
infrastructure, and supporting deployment.
Design training and evaluation workflows, including metrics for safety,
progress, comfort, interaction quality, and robustness.
Analyze model behavior and failure modes, run experiments, and use the results to improve models and data.
Collaborate with control, simulation, data, and other algorithm
teams to integrate and validate new capabilities.

Required AI Algorithm Engineer - Vision Localization Group
About the team:
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
What will your job look like:
Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
Combine learning-based methods with classical optimization and geometric algorithms.
Own the entire lifecycle from prototyping to deployment.
Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
Drive innovative solutions for high-precision localization at production scale.

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms.
We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
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.

We are looking for a senior computer vision engineer: a hands on individual contributor whose work will be broad and touch many projects across the group, to lead long-term research initiatives and POCs that shape the technical direction of our technology.
What will your job look like:
Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology.
Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction).
Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms.