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Senior Learning Perception Engineer - SLAM

1 month, 1 week ago
United States
Full-time
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
C++ CI/CD Computer Vision Deep Learning Embedded Systems Git Microservices OpenCV Python PyTorch Reinforcement Learning TensorFlow
Apply Now
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
View All Jobs 70

Description

  • Lead the design, development, and optimization of perception and SLAM pipelines for humanoid robots.
  • Develop multi-sensor fusion frameworks using cameras, LiDAR, depth sensors, and IMUs for real-time state estimation and mapping.
  • Build scalable data pipelines, training infrastructure, and inference frameworks for model development, evaluation, and deployment.
  • Research and deploy learning-based models for SLAM, 3D scene understanding, locomotion, manipulation, and human-robot interaction.
  • Implement performance profiling, regression testing, and telemetry to meet latency, accuracy, and reliability requirements on edge devices.
  • Collaborate with planning, control, and hardware teams to define real-time perception-to-action interfaces.
  • Integrate synthetic data with real-world datasets to improve model generalization and robustness.
  • Contribute to 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 shipping perception and/or SLAM systems in robotics or real-time vision applications.
  • Strong background in SLAM, visual-inertial odometry, probabilistic state estimation, and deep learning for computer vision.
  • Practical experience with detection, segmentation, multi-object tracking, 3D perception, and learning-based mapping/localization.
  • Hands-on experience with AI frameworks such as PyTorch, JAX, or TensorFlow, and CV/multi-modal 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, factor graphs, SLAM, and VIO.
  • Experience deploying optimized perception or SLAM models on edge hardware under compute, latency, and thermal constraints.
  • Track record of taking ML, perception, or SLAM systems from R&D into production robotics platforms.
  • Preferred: experience with humanoid robots, bipedal locomotion, and manipulation tasks.
  • Preferred: familiarity with modern SLAM frameworks such as ORB-SLAM, VINS, Rtabmap, GTSLAM, or Cartographer, or with learning-based SLAM systems.
  • Preferred: experience with model acceleration, quantization, or compression tools such as 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 for perception and SLAM training.
  • Preferred: contributions to open-source robotics or vision software stacks.

Benefits

  • Annual salary range of $190,000 to $235,000.
  • Direct-hire opportunity.
  • Equal employment opportunity and anti-discrimination protections.
  • Opportunity to work on cutting-edge humanoid robotics and embodied AI.
  • Work on systems intended for real-world deployment at scale.

Interested in this position?

Apply directly on the company website

Apply Now

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