Algorithm Engineer
Job Details
About the Company
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.
Specialization
Headquarters
Years on the market
Team size and structure
Current technology stack
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.