Senior Perception Engineer

Aule Space; Bengaluru; On-site; INR 2,800,000 - 4,000,000; Full time

Benefits offered by this job

ESOPs

Competitive pay

Job summary

Aule Space in Bengaluru is seeking a Computer Vision Engineer to advance autonomous satellite rendezvous software. You will develop perception algorithms for object detection, tracking, and relative pose; build sensor fusion stacks; and validate them with synthetic data and hardware-in-the-loop testing.

You will work closely with GNC and flight software teams, optimizing models for space-grade hardware and contributing to fault-detection and recovery systems.

Qualifications

• Bachelor's degree in Physics, CS, Electrical or related engineering.
• 3+ years in computer vision, robotics, or autonomous systems; PhD graduates welcome.
• Proficiency in 3D computer vision, SLAM, depth estimation, sensor fusion.
• Strong Python, C++, OpenCV; hands-on PyTorch or TensorFlow.

Responsibilities

• Develop and test computer vision algorithms for object detection, tracking, and pose estimation.
• Develop and test the sensor processing and fusion stack for real-time state estimation.
• Create and validate synthetic image datasets for mission scenarios.
• Optimize vision models for real-time processing on space-grade hardware.
• Support ground testing and hardware-in-the-loop validation of perception stack.
• Assist fault detection and recovery through sensor/state monitoring.
• Collaborate with GNC and flight software teams to integrate algorithms.

Skills

Computer vision

Robotics

Autonomous systems

Python

C++

OpenCV

PyTorch

TensorFlow

SLAM

State estimation

Education

BSc in Physics

BSc in CS

BSc in Electrical Eng

Job description

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

• 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