Senior Perception Learning Engineer

Apptronik
Sunnyvale, El Salvador
Workplace: OnsiteFull timeFunction: Education & TrainingExperience: 3-5 yearsEducation: mastersSkills: ["Problem-solving","Collaboration","Mentoring","Communication","Attention to detail"]

Lead research and development of advanced perception systems for Apptronik’s humanoid robots, focusing on perception, SLAM, object detection, world modeling, and multi-sensor fusion. Design real-time DL models for detection, tracking, segmentation, and scene understanding, while building scalable training/evaluation/deployment pipelines and integrating data from cameras, LiDAR, depth sensors, and IMUs for robust autonomy.

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FursaFursa
Apptronik
Apptronik
10 months ago

Senior Perception Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead research and development of advanced perception systems for Apptronik’s humanoid robots, focusing on perception, SLAM, object detection, world modeling, and multi-sensor fusion. Design real-time DL models for detection, tracking, segmentation, and scene understanding, while building scalable training/evaluation/deployment pipelines and integrating data from cameras, LiDAR, depth sensors, and IMUs for robust autonomy.
Location: Sunnyvale, El Salvador
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training
Seniority: Sr. Manager level

Key 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.

Key Requirements

  • •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 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).
Experience:3-5 yearsRoboticsPerceptionAIComputer vision
Education:Master's
Skills:Problem-solvingCollaborationMentoringCommunicationAttention to detail
Languages:English
Tech Stack:PyTorchJAXTensorFlowOpenCVDetectron2YOLOSAMCLIPDINOv2FlamingoPythonC++CI/CDROS 2GStreamerTensorRTONNX Runtime

Company Brief

Apptronik
Develops advanced general-purpose robots and robotic limbs for industrial and commercial applications, combining hardware, actuators, and control software to enable versatile, human-scale robot solutions.
Industry: Robotics
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: Austin, United States
Founded: 2018
WebsiteLinkedIn