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Senior Perception Engineer

Senior Perception Engineer

aule space
  • Posted 19 hours ago
  • Be among the first 10 applicants

Job Description

What You'll Do

Satellite rendezvous requires determining the relative position, velocity, and orientation of two spacecraft moving at several kilometers per second - all in real time. In this role, you will own the development of our relative navigation system: from defining requirements and designing architectures, to building algorithms and validating them with synthetic datasets and hardware-in-the-loop testing. You'll have the chance to shape this technology from scratch, leveraging computer vision to enable autonomous satellite rendezvous and docking.

Responsibilities

  • Develop and test computer vision algorithms for object detection, tracking, and relative pose estimation
  • Develop and test the sensor processing and fusion stack for real-time state estimation
  • Generate and validate synthetic image datasets for various mission phases and scenarios
  • Optimize vision models for real-time processing on space-grade edge hardware
  • Contribute to ground testing and hardware-in-the-loop validation of the perception stack
  • Contribute to fault detection, isolation, and recovery systems through robust sensor and state monitoring
  • Work closely with GNC and flight software teams to integrate the algorithms into spacecraft software

What We Look For

Minimum Requirements

  • Bachelor's degree in Physics, Computer Science, Electrical or any related engineering discipline
  • 3+ years of experience in computer vision, robotics, or autonomous systems; graduating PhDs with relevant focus
  • Proficiency in 3D Computer Vision (SLAM, depth estimation, sensor fusion)
  • Proficiency in Python, C++ and OpenCV and hands-on experience with PyTorch, or TensorFlow
  • Proven track record of developing and deploying vision models in real-world applications
  • You thrive in fast-paced, dynamic environments, adapt quickly, and enjoy solving hard problems

Preferred Qualifications

  • Hands-on experience with optical systems, imaging sensors, and camera characterization
  • Track record of published research or contributions to open-source projects in related fields
  • Hands-on experience with 3D synthetic data generation for training vision models

What We offer

  • Competitive compensation including ESOPs
  • Role based workplace flexibility
  • ⁠Professional mental wellness services
  • Health insurance coverage
  • Gym membership

More Info

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Key Skills

SLAM

3D Computer Vision

depth estimation

About Company

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