דרושים » הנדסה » Senior Algorithm engineer Defence-Tech Company - Tel Aviv (Hybrid)

We are looking for a skilled developer with significant experience in creating algorithm-based systems, especially in complex environments. You will lead the technical development of a robust routing and scheduling service, working closely with US-based teams.

Responsibilities:

Lead Development: Take charge of the development process for the routing and scheduling services, ensuring it meets performance and efficiency requirements.

Algorithm Optimization: Apply your deep knowledge of C++ to optimize algorithms and data structures for efficient routing and scheduling.

AWS Cloud Integration: Utilize your expertise in AWS cloud services to design, deploy, and manage cloud-based components of the routing scheduling service.

Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and data scientists, to gather requirements, provide technical insights, and drive project success.

Code Quality: Maintain and improve the codebase by implementing best practices, code reviews, and refactoring when necessary.

Troubleshooting: Identify and resolve complex technical issues, ensuring the service's reliability and performance.

Documentation: Create and maintain documentation for code, design, and processes.

JR314436

Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

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.