Computer Vision Engineer

Job description

About

Neurobus is at the forefront of merging artificial intelligence and neuroscience with space technology. We are dedicated to revolutionizing satellite data processing by developing low-power advanced onboard AI systems. Our mission is to enhance the capabilities and efficiency of satellites to make them autonomous for space operations.

Job Description

Neurobus is excited to offer a unique opportunity for aspiring Computer Vision Engineers with a keen interest in event cameras, neuromorphic hardware and space. The candidate will be working on projects with industry and institutional leaders in the space domain to help advance neuromorphic computing. Key responsibilities are to develop machine learning models for visual-based navigation, object detection, tracking and more, for applications in space and on satellites. You will report directly to the CTO, who is an expert in event-based vision.

This opportunity is available as an internship, apprenticeship, or a permanent position, depending on the candidate's profile.

Preferred Experience

Key Responsibilities

· 
Develop and optimize algorithms for event-based vision processing.

· 
Implement clean machine learning pipelines using modern libraries.

· 
Benchmark models on conventional edge (NVIDIA Jetson) and neuromorphic AI accelerators.

· 
Collaborate with multidisciplinary teams to integrate vision systems into our satellite payload platforms.

· 
Conduct state-of-the-art research and experiments.

Qualifications

· 
Master’s or PhD degree (can be currently enrolled) in Computer Science, Machine Learning, or a related field with a focus on computer vision or edge computing.

· 
Solid understanding of computer vision concepts and algorithms.

· 
Good programming skills in Python, C++, or similar languages, and familiarity with computer vision libraries.

· 
A strong interest in event camera technology and its applications.

· 
Excellent analytical skills and a proactive approach to problem-solving.

· 
At least basic understanding of spiking or recurrent neural networks.

· 
Effective communication skills and the ability to collaborate well in a team.

Preferred Skills

· 
Prior experience or coursework in image processing or computer vision.

· 
Experience with Pytorch Lightning

· 
Experience with a Cloud computing stack (AWS, Lambda Labs or similar)

· 
Experience with neuromorphic hardware

What We Offer

· 
A chance to work on groundbreaking computer vision projects on embedded systems using the latest event camera technology.

· 
The opportunity to work with major partners in the industry on international projects.

· 
Guidance and mentorship from experts in the field of computer vision and event-based sensing.

· 
A vibrant and supportive work environment that encourages innovation, learning, and professional growth.

· 
Access to advanced tools and technology for developing cutting-edge vision systems.

Recruitment Process

Interested candidates are encouraged to apply by submitting a resume and cover letter outlining their qualifications and experience. Selected applicants will be invited for an initial interview, followed by a technical assessment and final discussions with our team.

Additional Information

·  Contract Type: Other
·  Start Date: 03 June 2024
·  Location: Paris, Toulouse
·  Education Level: Master's Degree
·  Occasional remote authorized