Perception Engineer

Have a degree in Computer Engineering, Computer Science, Robotics, Electrical Engineering, or a related field, and a minimum of 3+ years of hands-on experience.

Are proficient in Python and comfortable working in C++ when required.

Have experience training and deploying machine learning models using frameworks such as PyTorch, TensorFlow, ONNX, or similar tools.

Have worked on computer vision problems such as object detection, tracking, pose estimation, segmentation, gesture recognition, or activity understanding.

Have experience deploying models to edge devices and optimizing performance for real-world systems.

Understand the challenges of collecting, labeling, and maintaining high-quality datasets.

Are comfortable working in environments where architecture is still evolving and your input shapes direction.

Document clearly and drive issues to resolution.

Care deeply about building perception systems that work reliably outside ideal lab conditions.

Have strong intuition for debugging machine learning systems and can distinguish between data problems, model problems, and deployment problems.

Enjoy converting cutting-edge research into practical systems that ship.

Think critically about tradeoffs between accuracy, latency, robustness, power consumption, and cost.

Have the ability to quickly adapt through iteration cycles without waiting for perfect information to make progress.

Take ownership over systems end-to-end, from data collection and training through deployment and monitoring.

Work well in small, collaborative teams where software, hardware, controls, and AI are in constant conversation.

Care about what perception enables: awareness, responsiveness, and the feeling that the robot is alive.

The early team becomes the DNA of the company. We set ourselves and others to a high standard, and we respond with kindness when things get hard but keep everyone accountable. This requires us to be curious, creative, and diverse in our thinking and approach. We’re proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Even if you don’t meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don’t want that to be the reason we miss out on great talent.