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Salary
$144k – $336k per year (Estimated)
Location
In office (Mountain View)
Seniority
Staff · 7+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match

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.

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