Job Title: Computer Vision Engineer (Satellite Autonomy & Edge AI)

Company: The SpaceLead (on behalf of a client)

About The SpaceLead:

The SpaceLead partners with innovative companies shaping the future of space. To stay ahead in the sector, follow our LinkedIn Newsletter for insights on space, autonomy, and deep tech.

Follow here (for exclusive job opportunities, industry insights, and expert career guidance in space & deep tech): https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7025990944319524864

Employment Type: Permanent, Full-Time

Location: Hybrid - Oxford, Harwell, Woking, or Guildford, UK.

A significant on-site presence (expected to be ~4 days per week) is essential for this role to foster collaboration with the engineering team and build our foundational culture.

About the Role:

The SpaceLead is seeking a top-tier Computer Vision Engineer for a UK startup backed by leading institutions. Our client is developing advanced technology to enable next-generation in-orbit services and satellite operations.

You will be responsible for developing and deploying the core perception algorithms that enable real-time, autonomous decision-making on resource-constrained hardware for space applications. This is a rare opportunity to solve first-of-their-kind problems at the intersection of AI and space, contributing directly to a groundbreaking platform.

What You'll Do:

• Design, train, and deploy deep learning models for real-time object detection, segmentation, pose estimation, and tracking on space-based sensor data.
• Optimize neural network architectures for efficient deployment on low-power, resource-constrained embedded systems.
• Develop and manage robust data pipelines for collecting, augmenting, and labeling sensor data from unique operational environments.
• Collaborate closely with hardware and systems engineers to co-design software/hardware solutions for maximum performance.
• Create rigorous testing and validation frameworks to ensure model accuracy and reliability under challenging orbital conditions.
• Drive research into state-of-the-art techniques and apply them to solve novel challenges in space-based perception.

What You'll Need:

• A PhD (or equivalent industry research experience) in Computer Science, Aerospace Engineering, or a related field with a focus on Computer Vision, AI, or Robotics.
• A strong portfolio of relevant projects, publications (e.g., CVPR, ICCV, NeurIPS), or patents.
• Demonstrated experience or a strong academic background in aerospace, satellite systems, or robotics for extreme environments.
• Direct, hands-on experience with model optimization for edge devices (e.g., quantization, pruning) and deployment on low-power embedded hardware.
• Deep expertise in computer vision principles, including image processing, feature detection, and 3D geometry.
• Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Excellent problem-solving skills and the ability to work on complex technical challenges.
• Eligibility to work in the UK.

What Our Client Offers:

• A competitive salary and meaningful equity package.
• The opportunity to work on groundbreaking technology for the space sector.
• Flexible, hybrid working arrangements.
• A generous budget for professional development and a wellness/lifestyle stipend.
• A key role in shaping company culture and strategy from the ground up.
• Private health insurance and a statutory pension scheme.

To Apply:

Please submit your application directly via LinkedIn. All applications are managed confidentially by The SpaceLead on behalf of our client.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Space Research and Technology

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