Applied Robotics Engineer

Join our team as an Applied Robotics Engineer, where you'll bridge the gap between research and real-world deployment of AI systems. You'll work directly with partners to understand their legacy control systems, sensor pipelines, and edge compute limits. This in-person role is based in our New York City HQ and requires experience in deploying AI or robotics systems from prototype to production.

You're rigorous about evaluation, and you know what a benchmark number does and doesn't tell you

Responsibilities

• Bridging the gap between research and real-world deployment of AI systems, focusing on post-training, evaluation, system integration, and deployment.
• Working directly with partners to understand their legacy control systems, sensor pipelines, latency constraints, and edge compute limits.
• Closing the loop back to research by identifying and addressing the reasons for model failures on hardware.
• Comfortable with a partner's engineers and their leadership in the same room, explaining what a model will and won't do without overselling it
• You have taken a model from a training checkpoint to running on real hardware and owned it end to end, including the failures
• Experience across the hardware-software boundary: sensors, robotics middleware, edge compute, real-time constraints, and unreliable networks
• Depth in at least one of the following and interest in the others: policy learning and control (RL, imitation learning); world models and simulation (Unity, Unreal, Isaac); perception and inverse dynamics models (sensor fusion, learning from demonstration)
• 5+ years of experience deploying AI or robotics systems from prototype to production, spanning simulation, model development, and real-world deployment

Requirements

• Strong Python and PyTorch, and you drop into C++ when performance requires it. You've done inference optimization on constrained hardware: quantization, distillation, TensorRT or ONNX export, control frequency
• You have debugged a model that was quietly wrong rather than obviously broken, found the root cause, and fixed the system rather than the symptom

Pay

USD 180,000 - 300,000