Tech Lead - Solutions Engineering
AI Summary
Tech Lead for Forward Deployment guides technical delivery for complex robotics deployments, architects integrations, and mentors a solution engineering team.
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 hands-on robotics experience. You'll be working directly with customer robot systems and need deep expertise in ROS, C++, and system integration.
What to Expect
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.
What You'll Do
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
What You'll Bring
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
Nice to Have
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.