Perception Intern

Aule Space; Bengaluru; On-site; INR 446,000 - 781,000; Full time

Benefits offered by this job

Competitive stipend

Role based workplace flexibility

Pathway to a future full-time role

Job summary

Aule Space seeks a talented engineer to advance vision-based perception and relative navigation for autonomous spacecraft rendezvous and docking. You will develop computer vision algorithms, generate synthetic datasets, and validate performance on flight hardware.

Join a fast-moving team that collaborates with GNC and flight software to integrate algorithms into the spacecraft navigation stack and optimize models for real-time processing on space-grade hardware.

Qualifications

• Strong fundamentals in computer vision, image processing, and robotics.
• Proficiency in Python, C++ and OpenCV and hands‑on experience with PyTorch, or TensorFlow.
• Familiarity with 3D Computer Vision (SLAM, depth estimation, sensor fusion).
• Experience building computer vision projects through coursework, research, student technical teams, or independent projects.

Responsibilities

• Develop and test computer vision algorithms for object detection, tracking, and relative pose estimation
• Generate and validate synthetic image datasets for various mission phases and scenarios
• Optimize vision models for real‑time processing on space‑gradeedge hardware
• Support ground testing and hardware‑in‑the‑loop validation of the perception stack
• Work closely with the GNC and flight software teams to integrate algorithms into the spacecraft navigation stack

Skills

Python

C++

OpenCV

PyTorch

TensorFlow

Robotics

Computer Vision

Job description

As part of the GNC team at Aule, you will work on vision-based perception and relative navigation for autonomous spacecraft rendezvous and docking. You will develop and test computer vision algorithms, generate synthetic datasets, work with high-fidelity simulators, validate perception performance through ground testing, and support the deployment of the perception stack on flight hardware.

Responsibilities

• Develop and test computer vision algorithms for object detection, tracking, and relative pose estimation
• Generate and validate synthetic image datasets for various mission phases and scenarios
• Optimize vision models for real‑time processing on space-gradeedge hardware
• Support ground testing and hardware‑in‑the‑loop validation of the perception stack
• Work closely with the GNC and flight software teams to integrate algorithms into the spacecraft navigation stack

What We Look For

• Strong fundamentals in computer vision, image processing, and robotics
• Proficiency in Python, C++ and OpenCV and hands‑on experience with PyTorch, or TensorFlow
• Familiarity with 3D Computer Vision (SLAM, depth estimation, sensor fusion)
• Experience building computer vision projects through coursework, research, student technical teams, or independent projects
• Ability to independently experiment, debug, and work through technically challenging problems
• You thrive in fast‑paced, dynamic environments, adapt quickly, and enjoy solving hard problems

Preferred Qualifications

• Familiarity with 3D synthetic data generation for training vision models
• Track record of published research or contributions to open‑source projects in related fields

What We Offer

• Work on a space mission with a highly driven, mission‑focused team
• Competitive stipend
• Role based workplace flexibility
• Pathway to a future full‑time role based on performance