Software Engineer - Computer Vision Tools & Pipelines (f/m/x)

We are seeking a talented and motivated Software Engineer to join our team, focusing on building robust and scalable tools and infrastructure for our computer vision initiatives. While you'll work closely with computer vision engineers, your primary focus will be on applying strong software engineering principles to design, develop, and maintain critical systems that enable our CV applications. If you are passionate about writing high-quality, efficient Python code and building the backbone for cutting-edge technology, this role is for you.

Responsibilities:

1. Design, develop, test, deploy, and maintain high-quality Python software for computer vision tooling and data pipelines.
2. Build robust and scalable infrastructure to support ingestion, processing, annotation, and management of large datasets.
3. Collaborate with computer vision engineers to understand their needs and translate requirements into effective software solutions and APIs.
4. Implement and optimize data processing workflows using libraries like NumPy and image processing toolkits (e.g., OpenCV, Pillow).
5. Write clean, well-documented, and thoroughly tested code following software engineering best practices (e.g., version control with Git, unit/integration testing).
6. Profile and optimize code and systems for performance, scalability, and reliability within a Linux environment.
7. Participate in code reviews, technical design discussions, and advocate for high software quality standards.
8. Maintain and improve existing codebase and infrastructure supporting our CV projects.

Minimum Requirements:

• Proven experience (2+ years) as a Software Engineer with a focus on Python development.
• Proficiency with NumPy for numerical operations and data manipulation.
• Hands-on experience with image processing libraries such as OpenCV or Pillow.
• Knowledge of software development best practices, including version control (Git), testing frameworks (like pytest), and code reviews.
• Proficiency working within Linux environments (command line, scripting).
• Understanding of modern computer vision pipelines (data loading, preprocessing, augmentation, model evaluation).
• Exposure to deep learning frameworks (PyTorch, TensorFlow) and MLOps principles.
• Familiarity with relational databases (PostgreSQL, MySQL) and SQL.
• Experience building web backends or APIs using Python frameworks (Flask, Django, FastAPI).