Tech Lead - Solutions Engineering

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 hands-on robotics experience. You'll be working directly with customer robot systems and need deep expertise in ROS, C++, and system integration.

As Tech Lead for Forward Deployment, you will lead technical delivery for our most complex customer engagements. You'll architect solutions, guide implementation, and ensure our platform integrates seamlessly with customer systems.

Lead technical architecture for customer deployments

Guide integration of our platform with diverse robotics systems

Mentor and grow a team of solution engineers

Debug complex issues spanning simulation, ML, and robotics

Feed customer learnings back into product development

7+ years in robotics software with 2+ years in customer-facing roles

Deep expertise in ROS/ROS2, C++, and robotics system integration

Experience deploying ML systems on real robots

Strong debugging skills across hardware/software boundaries

Excellent communication with both technical and business stakeholders

Experience at robotics companies with deployed products

Background in field robotics or autonomous systems

Familiarity with simulation and sim-to-real workflows

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.