Apptronik · 2 months ago
Senior Perception Learning Engineer
Austin, TX
Full-time
Onsite
Mid, Senior Level
3+ years expApptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. As a Senior Perception Learning Engineer, you will lead research and development of advanced perception systems for humanoid robots, focusing on perception, SLAM, object detection, and multi-sensor fusion. Your role will involve designing deep learning models and collaborating across teams to enhance the capabilities of robots in dynamic environments.
Artificial Intelligence (AI)Industrial AutomationMachinery ManufacturingRobotics
Responsibilities
Lead the design, development, and optimization of perception pipelines for humanoid robots, including 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 perception in dynamic human-centered environments
Architect and maintain scalable data pipelines, training infrastructure, and inference frameworks to accelerate model development, evaluation, and deployment
Drive research and deployment of deep learning models optimized for humanoid locomotion, manipulation, and human-robot interaction
Implement performance profiling, regression testing, and telemetry systems to ensure perception 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
Mentor junior engineers and contribute to best practices in code quality, model versioning, reproducibility, and deployment
Qualification
Required
MS/PhD in Computer Science, Robotics, Computer Engineering, or related field
3-5+ years of experience building and deploying perception systems for robotics, autonomous vehicles, or real-time vision applications
Strong background in deep learning for computer vision, with practical expertise in detection, segmentation, multi-object tracking, and 3D perception
Hands-on experience with modern AI frameworks (PyTorch, JAX, TensorFlow) and computer vision / multi-modal libraries such as OpenCV, Detectron2, YOLO, and foundation models for perception and language (e.g., SAM, CLIP, DINOv2, Flamingo)
Proficiency in Python and modern C++, with strong software engineering fundamentals (version control, testing, CI/CD)
Deep understanding of 3D geometry, camera models, and probabilistic estimation (EKF/UKF, SLAM, VIO)
Experience deploying optimized models on edge hardware (GPU/NPU/embedded platforms) under compute, latency, and thermal constraints
Track record of shipping ML/Perception systems from R&D into production robotics platforms
Preferred
Experience with humanoid robots, bipedal locomotion, and manipulation tasks
Strong classical computer vision skills (geometry-based methods, feature extraction) complementing deep learning 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 models
Contributions to open-source robotics or vision software stacks
Company
Apptronik
Apptronik is a robotics company that designs and builds human-centered robotics systems.
51-200 employees
H1B Sponsorship
Apptronik has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22)
2024 (5)
2023 (5)
2021 (3)
2020 (2)
Funding
Current Stage
Growth StageTotal Funding
$762.79MKey Investors
Humanoid GlobalTerex
2025-11-25Series B· $331M
2025-10-02Corporate Round· $0.06M
2025-02-13Series A· $403M
Leadership Team
Jeffrey Cardenas
CEO
Nicholas Paine
CTO
Recent News
2025-12-25
2025-12-22
2025-12-17
Company data provided by crunchbase