Experienced Deep Learning Software Engineer - Algorithms & Data

About the role

Our team builds perception models for autonomous vehicles, turning multi‑sensor inputs such as vision and maps into a detailed understanding of road geometry and behavior. You will work at the intersection of algorithms, deep‑learning models, infrastructure and data engineering.

Key responsibilities

• Own end‑to‑end road data pipelines, including tools for datasets and databases that run on S3 and on‑premise environments.
• Design algorithms for large‑scale vision and multi‑sensor data, performing geometric reasoning from 2D image space to 3D world space.
• Implement and develop algorithms for the autonomous‑vehicle production system.
• Build evaluation tools, metrics and related infrastructure to assess algorithm performance.

Required profile

• Bachelor’s degree in Computer Science or a related field.
• At least 3 years of experience in software development and data pipelines.
• Familiarity with the deep‑learning model development lifecycle.
• Strong motivation to learn, experiment and dive deep technically and conceptually.

Required skills

• Python and standard data‑analysis libraries.
• C and C++ (advantage).
• Deep‑learning frameworks and transformer models (advantage).
• Cloud development and distributed data‑pipeline engineering.