Drimva

Apptronik

Senior Perception Learning Engineer

$220K–$250K

Sunnyvale, CA +1 · Senior · Full-time · Posted Oct 15, 2026

Location
Sunnyvale, CA
Austin, TX
Experience
3- 5+ years building and shipping perception and/or SLAM systems in robotics or real-time vision applications.
Education
MS/PhD in Computer Science, Robotics, Computer Engineering, or related field.

About the job

Develops and deploys real-time perception, SLAM, and sensor-fusion systems that help humanoid robots understand and navigate human environments.

What you'll do

  • Design and optimize perception and SLAM pipelines, including mapping, localization, detection, tracking, segmentation, and scene understanding.
  • Build multi-sensor fusion and scalable data, training, evaluation, and deployment systems for real-time robotics.
  • Collaborate across robotics teams to integrate perception with locomotion, manipulation, safety, and human-robot interaction.

What they ask for

  • MS/PhD in Computer Science, Robotics, Computer Engineering, or a related field.
  • Strong background in SLAM, VIO, probabilistic state estimation, and deep learning for computer vision.
  • Experience with perception or SLAM systems, modern AI frameworks, and Python and modern C++.
  • Experience deploying optimized perception or SLAM models on edge hardware and shipping systems into production robotics platforms.

Nice to have

  • Experience with humanoid robots, bipedal locomotion, or manipulation.
  • Experience with SLAM frameworks, model acceleration, or real-time middleware such as ROS 2.

Pay

$220,000 - $250,000 USD base salary

Tools

PyTorch, JAX, TensorFlow, OpenCV, Detectron2, YOLO, Python, modern C++

AI focus

Researches and deploys learning-based perception and SLAM models, including deep learning for detection, tracking, segmentation, scene understanding, and state estimation; supports model training, evaluation, and deployment.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 5, 2026 (UTC)