Software Engineer - Solutions
AI Summary
Solutions Engineer focusing on integrating our robotics simulation platform with customer robot systems, debugging across simulation, ML, and hardware, and building adapters and tooling for customer workflows.
About this role
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.
