Algorithm Engineer

Algorithm Engineer
Level
Middle
Department
Type
Full Time
Project
Imagry
Locations:
Haifa
Hybrid
Job Details
Posted on:
October 21, 2025
About the Company
Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.
About the Project

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.

Required skills:
At least 3 years of experience as an Algorithm Engineer.
M.Sc. or equivalent in Computer Science, Electrical Engineering, Physics, or another quantitative field from a leading university.
Excellent B.Sc students from leading universities are welcome
Hands-on experience developing algorithms in one or more of the following areas: motion planning, decision-making, control theory, or state estimation (e.g., SLAM, sensor fusion), machine learning
Proficiency in both Python and C++ programming (code review level)
Advantage – previous experience as an engineer part of a multi-disciplinary R&D team in autonomous systems, robotics, or a related field.
Scope of work:
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.