We are looking for a Software Algorithm Engineer to design, implement, and maintain robust algorithmic systems in production environments.
This role focuses on high-quality software engineering combined with algorithmic thinking, working on real-world data at scale.
The position requires end-to-end ownership – from problem definition and algorithm design to production-grade software, deployment, and long-term maintenance.
The main task is to contribute to the software infrastructure that enables autonomous driving, from perception to planning.
This role focuses on high-quality software engineering combined with algorithmic thinking, working on real-world data at scale.
The position requires end-to-end ownership – from problem definition and algorithm design to production-grade software, deployment, and long-term maintenance.
The main task is to contribute to the software infrastructure that enables autonomous driving, from perception to planning.
Requirements:
Strong software engineering skills with Python
Academic degree in one of the following: CS, DS ,SW / Electrical Eng, or similar.
Experience building production-quality systems, with code versioning and releases.
Solid algorithmic thinking and data analysis skills.
Experience working with large datasets and complex data pipelines.
Strong debugging, profiling, and performance optimization skills.
Ability to work independently and make technical tradeoffs.
Familiarity with testing frameworks, CI, and deployment workflows.
Preferred / Nice to Have:
Experience with computer vision or ML systems in production.
Experience with cloud infrastructure, batch systems, or containerization.
Experience in autonomous driving, robotics, or real-time systems.
Experience with Simulation environments.
Strong software engineering skills with Python
Academic degree in one of the following: CS, DS ,SW / Electrical Eng, or similar.
Experience building production-quality systems, with code versioning and releases.
Solid algorithmic thinking and data analysis skills.
Experience working with large datasets and complex data pipelines.
Strong debugging, profiling, and performance optimization skills.
Ability to work independently and make technical tradeoffs.
Familiarity with testing frameworks, CI, and deployment workflows.
Preferred / Nice to Have:
Experience with computer vision or ML systems in production.
Experience with cloud infrastructure, batch systems, or containerization.
Experience in autonomous driving, robotics, or real-time systems.
Experience with Simulation environments.
This position is open to all candidates.
