Tech Stack

Description

You will design and implement systems for training and deploying large-scale AI models for robotics. You will guide technical direction, mentor engineers, and build robust data pipelines and ML infrastructure to make robots more capable in real-world environments. Your work empowers both internal teams and external partners by providing accessible tools for applying advanced machine learning to robotics.

Requirements

• Four-year degree in Computer Science.
• 4+ years experience collaborating on medium to large software projects.
• Proficiency in Python and C++.
• Experience with ML frameworks (TensorFlow, JAX), cloud computing (Google Cloud, Docker, Kubernetes), databases (SQL, NoSQL), and service-oriented architecture.
• Proven ability to set directions and drive solutions within a team.

Responsibilities

• Lead design and implementation of infrastructure for training and deploying robotic foundation models.
• Build and maintain data pipelines for collecting and processing real-world robot data.
• Empower ML researchers and engineers with accessible tools and infrastructure for AI in robotics.
• Collaborate with product and engineering teams to define infrastructure requirements and deliver solutions.