Senior Perception Learning Engineer

2 months, 4 weeks ago
Full-time
Senior
Software Development
Apptronik

Apptronik

Apptronik develops versatile humanoid robots to tackle tasks humans prefer not to do, aiming to reshape existence and enhance universal quality of life.

Aerospace & Defense
51-250
Founded 2015
$23M raised

Description

  • 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 real-time perception in dynamic environments.
  • Architect and maintain scalable data pipelines, training infrastructure, and inference frameworks to support model development, evaluation, and deployment.
  • Drive research and deployment of deep learning models for humanoid locomotion, manipulation, and human-robot interaction.
  • Implement performance profiling, regression testing, and telemetry systems to meet latency, accuracy, and reliability requirements on edge devices.
  • Collaborate with planning, control, and hardware teams to define perception-to-action interfaces for locomotion and manipulation pipelines.
  • Integrate synthetic data from simulation frameworks with real-world datasets to improve generalization and robustness.
  • Mentor junior engineers and promote best practices in code quality, model versioning, reproducibility, and deployment.

Requirements

  • MS or PhD in Computer Science, Robotics, Computer Engineering, or a 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, including detection, segmentation, multi-object tracking, and 3D perception.
  • Hands-on experience with PyTorch, JAX, TensorFlow, and computer vision or multimodal libraries such as OpenCV, Detectron2, YOLO, SAM, CLIP, DINOv2, or Flamingo.
  • Proficiency in Python and modern C++, with strong software engineering fundamentals including version control, testing, and CI/CD.
  • Deep understanding of 3D geometry, camera models, and probabilistic estimation methods such as EKF, UKF, SLAM, and VIO.
  • Experience deploying optimized models on edge hardware such as GPU, NPU, or embedded platforms under compute, latency, and thermal constraints.
  • Track record of shipping ML or perception systems from R&D into production robotics platforms.
  • Preferred: experience with humanoid robots, bipedal locomotion, and manipulation tasks.
  • Preferred: strong classical computer vision skills, including geometry-based methods and feature extraction.
  • Preferred: expertise in model acceleration, quantization, or compression using TensorRT or ONNX Runtime.
  • Preferred: familiarity with real-time frameworks and middleware such as ROS 2, GStreamer, or zero-copy pipelines.
  • Preferred: knowledge of synthetic data generation and domain adaptation techniques for perception model training.
  • Preferred: contributions to open-source robotics or vision software stacks.
  • Must be able to sit at a desk for prolonged periods, lift up to 15 pounds, and read printed materials and computer screens; must also have hearing and speech abilities for communication.

Benefits

  • Annual salary range of $190,000 to $235,000.
  • Direct-hire role.
  • Equal employment opportunity and non-discrimination policy.
  • Opportunity to work on Apollo humanoid robots at the forefront of embodied AI.
  • Work on technology aimed at manufacturing, logistics, healthcare, and home applications.

Interested in this position?

Apply directly on the company website

Apply Now

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