Computer Vision Engineer

SPAICE Technology Ltd.; City of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading technology company in London seeks a Computer Vision Engineer to work on autonomy systems for satellites and drones. The role involves implementing perception pipelines and delivering high-performance code in collaboration with a top-tier team. Ideal candidates have a master's degree in Computer Vision or Robotics, expertise in multimodal sensor fusion, and strong programming skills in C++ and Python. Benefits include a competitive salary and well-being perks.

Benefits

Competitive salary

Equity options

Access to premium gyms

Team retreats & offsites

Qualifications

• Strong software engineering skills in C++ and Python.
• Experience in performance-critical CV/ML code on Linux or embedded platforms.
• Demonstrated ability to deliver production-quality, well-tested code.

Responsibilities

• Implement perception pipelines for situational awareness and collision detection.
• Build the perception stack of our Spatial AI architectures.
• Integrate sensor fusion and neural representations.
• Deploy semantic scene understanding and monocular depth estimation.
• Collaborate with CV scientists and engineers to deliver well-tested code.

Skills

Multimodal perception & sensor fusion

Neural representations

Semantic scene understanding

C++ programming

Python programming

Education

M.S. in Computer Vision/Robotics or related field

Job description

Overview

Computer Vision Engineer (Multimodal Sensing) at SPAICE

SPAICE is building the autonomy operating system that empowers satellites and drones to navigate and interact with the world – regardless of the environment. From GPS-denied zones on Earth to the unexplored frontiers of space, our Spatial AI delivers unprecedented levels of autonomy, resilience, and adaptability.

What you might work on

• Implement perception pipelines for situational awareness, collision detection & avoidance, formation flying, surveillance and terrain mapping across satellites and drones operating in GPS-denied, dynamic environments.
• Build the Perception stack of our Spatial AI architectures, fusing visual, inertial, and depth cues for robust, multi-sensor scene understanding.
• Integrate sensor fusion & neural representations to create dense onboard world models that run in real time on resource-constrained hardware.
• Deploy semantic scene understanding, visual place recognition, pose estimation, and monocular depth estimation on embedded or edge-AI processors.
• Collaborate with a top-tier team of CV scientists and cross-disciplinary engineers, delivering well-tested, high-performance code into flight processors, Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) setups, and real missions.

What we are looking for

• M.S. in Computer Vision/Robotics, or a related field.
• Expertise in at least two of the following: multimodal perception & sensor fusion, neural representations, semantic scene understanding, SLAM / camera-pose estimation, monocular depth estimation, visual place recognition.
• Strong software engineering skills in C++ and Python, including performance-critical CV/ML code on Linux or embedded platforms.
• Familiarity with GPU or edge-AI acceleration (CUDA, TensorRT, Vulkan, or similar).
• Demonstrated ability to deliver production-quality, well-tested code in collaborative, fast-moving environments.

Preferred Qualifications

• Familiarity with GPU or edge-AI acceleration (CUDA, TensorRT, Vulkan, or similar).
• Experience deploying perception pipelines on resource-constrained hardware.
• Publications in multimodal sensing/neural representations/SLAM for robotics or autonomous navigation in journals and conferences (e.g. CVPR, ICRA, ECCV/ICCV, NeurIPS).

Perks & Benefits

• Competitive salary commensurate with experience and impact.
• Equity options – you will join us at the ground floor and share in the upside.
• Well-being perks – access to premium gyms, climbing centers, and wellness programs.
• Team retreats & offsites – recent adventures include a half-marathon in Formentera and a Los Angeles retreat during Oscars weekend.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Space Research and Technology