Senior Perception Learning Engineer

Lead Design, develop, and optimize perception and SLAM pipelines for humanoid robots, including visual-inertial odometry, mapping, localization, object detection, tracking, segmentation, pose estimation, and scene understanding.

Develop multi-sensor fusion frameworks that integrate cameras, LiDAR, depth sensors, and IMUs for robust real-time state estimation and mapping in dynamic human-centered environments.

Contribute to scalable data pipelines, training infrastructure, and inference frameworks to accelerate model development, evaluation, and deployment.

Drive research and deployment of learning-based models for SLAM, 3D scene understanding, and perception optimized for humanoid locomotion, manipulation, and human-robot interaction.

Implement performance profiling, regression testing, and telemetry systems to ensure perception and SLAM modules meet strict latency, accuracy, and reliability requirements on edge devices.

Collaborate with planning, control, and hardware teams to define perception-to-action interfaces, ensuring real-time compatibility with locomotion and manipulation pipelines.

Guide the integration of synthetic data (e.g., simulation frameworks like IsaacSim) with real-world datasets to enhance model generalization and robustness.

Contribute to best practices in code quality, model versioning, reproducibility, and deployment.

Experience with humanoid robots, bipedal locomotion, and manipulation tasks.

Experience with modern SLAM frameworks (e.g., ORB-SLAM, VINS, Kimera, Cartographer) or learning-based SLAM systems.

Strong classical computer vision skills (geometry-based methods, feature extraction) complementing learning-based approaches.

Expertise in model acceleration, quantization, or compression (TensorRT, ONNX Runtime).

Familiarity with real-time frameworks and middleware such as ROS 2, GStreamer, or zero-copy pipelines.

Knowledge of synthetic data generation and domain adaptation techniques for training perception and SLAM models.

Contributions to open-source robotics or vision software stacks.

The annual salary range is $220,000 - $250,000

This is a direct hire. Please, no outside Agency solicitations.

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.