Software Engineer
Description For Software Engineer
SpAItial is at the forefront of 3D foundation model development, combining AI, computer vision, and spatial computing to revolutionize industries including robotics, AR/VR, gaming, and movies. As their first Software Engineer, you'll play a crucial role in building cloud-based data processing pipelines, developing user-facing applications, and creating tools for ML lifecycle management. The position requires expertise in Python, cloud platforms, and data processing, with a focus on handling image, video, and 3D data.
The role offers an unique opportunity to shape the future of 3D technology and AI, working in a dynamic startup environment where creativity meets technical challenge. You'll be responsible for establishing engineering best practices, developing critical infrastructure, and contributing to the company's technical foundation. The ideal candidate brings 3 years of production experience and strong proficiency in cloud platforms, CI/CD, and data processing.
SpAItial values team players who take pride in their work and are passionate about pushing technological boundaries. The company promotes a diverse and inclusive workplace, welcoming applications from all backgrounds. Based in either London or Munich, you'll be working in an environment that encourages innovation and values technical excellence. This is an exceptional opportunity for an engineer who wants to make a significant impact in the emerging field of 3D AI technology.
Responsibilities For Software Engineer
- Be the first Software Engineer in a dynamic ML startup
- Develop cloud-based data processing pipelines for image, video and 3D data
- Prototype full stack development of user-facing applications
- Develop visualization and exploration tools for visual and 3D data
- Develop data serving strategy for training ML models
- Generate tooling for ML lifecycle
- Ensure code quality and maintainability
- Collaborate with team members on best practices
Requirements For Software Engineer
- 3 years full-time professional experience in production environment
- Proficiency in large-scale data processing (Spark, Cloud SQL)
- Proficiency in cloud platforms (AWS, GCP, Azure)
- Proficiency in CI/CD (CircleCI)
- Proficiency in Python ecosystem and its best practices
- Familiarity with AI-based coding solutions (preferred)
- Familiarity with ML concepts and PyTorch (preferred)
