Perception Engineer at Human Computer Lab

Department: Software

Setup: Hybrid
Location: San Francisco, California
Level: mid
Posted: Jul 31, 2026

Description

Human Computer Lab is hiring a hands-on Perception Engineer to build computer vision and machine learning systems that enable its character robots to understand people, gestures, attention, and scenes in real time. The role covers model design, training, deployment, data pipelines, edge optimization, multi-modal sensor integration, debugging, and integration with robot behavior, controls, and firmware. Candidates should have a relevant degree and at least three years of hands-on experience, along with Python, C++, and machine-learning framework expertise.

Required Skills

Python
C++
PyTorch
TensorFlow
ONNX
Computer vision
Person detection
Tracking
Pose estimation
Gesture recognition
Edge devices

Additional Information

Minimum Education: Degree in Computer Engineering, Computer Science, Robotics, Electrical Engineering, or a related field
Required Previous Experiences: At least 3 years of hands-on experience
Experience training and deploying machine learning models with PyTorch, TensorFlow, ONNX, or similar tools
Experience with computer vision problems including detection, tracking, pose estimation, segmentation, gesture recognition, or activity understanding
Experience deploying models to edge devices and optimizing performance for real-world systems
Preferred Qualifications: Proficiency in Python and comfort with C++
Experience deploying models to edge devices and optimizing performance for real-world systems
Understanding of dataset collection, labeling, and maintenance
Strong intuition for debugging machine learning systems
Ability to convert research into practical systems
Ability to evaluate accuracy, latency, robustness, power, and cost tradeoffs
End-to-end system ownership
Collaboration across software, hardware, controls, and AI