Software Engineer, AI Training and Infrastructure

Highlights

• Build scalable training pipelines powering general-purpose robotic intelligence.
• Own the full ML lifecycle from data preparation through to model deployment.
• Explore new ways to use diverse data types for real-world robotics breakthroughs.

Ideal candidate

Passionate engineer with a few years of experience who loves building reliable systems and collaborating with researchers to bring cutting-edge robotic intelligence to the real world.

Requirements

• BS, MS or higher in Computer Science, Robotics, Engineering or related field or equivalent experience
• Minimum of 3 years of industry experience
• Proficiency in Python, C++ or similar and a deep learning library like PyTorch, TensorFlow or JAX
• Strong background in distributed computing, parallel processing and large-scale datasets and preprocessing
• Deep understanding of state-of-the-art machine learning techniques and models
• Experience with cloud-based training environments (AWS, Google Cloud, Azure)
• Experience developing and maintaining software tooling and infrastructure for machine learning
• Strong software engineering fundamentals including algorithms, data structures and system design
• Experience with continuous integration and automated testing frameworks