Software Engineer - Solutions

Join Us in Building the Future of Physical AI

We build the simulation infrastructure for physical AI. We develop GenAI-powered tools that enable robotics teams to create unlimited, diverse training data and realistic evaluation environments. Our team spun out of MIT CSAIL, where we pioneered techniques that trained robots using only synthetic data. We're helping robotics companies transition to AI-native development workflows.

We're a lean team of researchers and engineers from DeepMind, OpenAI, FAIR, and top universities including MIT, Berkeley, Caltech, Harvard, and Yale. We've published best papers at top robotics conferences, won International Olympiad medals, and built core systems at leading AI labs. We believe in building complex systems that bring simplicity to our customers.

Global Team: We operate across US and China time zones. We value people who communicate proactively, document thoroughly, and take ownership of smooth handoffs across teams.

Note: This role requires robotics software experience, particularly with ROS. You'll be integrating our platform with diverse customer robot systems.

What to Expect

As a Solutions Engineer, you will work directly with customers to deploy and integrate our simulation platform. You'll bridge the gap between our products and customer robotics systems, ensuring successful adoption.

What You'll Do

• Integrate our platform with customer robotics systems

• Debug and resolve issues across simulation, ML, and robot hardware

• Build custom tooling and adapters for customer workflows

• Document solutions and contribute to internal knowledge base

• Collaborate with product team on feature requirements

What You'll Bring

• 3-5 years of robotics software development experience

• Strong Python skills; proficiency in ROS/ROS2

• Experience with sensor integration and data pipelines

• Ability to debug complex distributed systems

• Strong communication skills for customer interaction

Nice to Have

• Experience with C++ for performance-critical robotics code

• Background in industrial automation or logistics robotics

• Familiarity with ML deployment on edge devices

We believe diverse teams build better products. Even if you don't meet every requirement listed, we encourage you to apply if you're excited about this role and our mission.