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- Tasks: Lead research on Spatial AI perception algorithms for satellites and drones.
- Company: Join SPAICE, a pioneering tech company in aerospace and defence.
- Benefits: Competitive salary, equity options, wellness perks, and exciting team retreats.
- Why this job: Make a real impact on space missions and autonomous systems.
- Qualifications: PhD in Computer Vision or related field with expertise in multimodal perception.
- Other info: Dynamic environment with opportunities for R&D leadership and career growth.
The predicted salary is between 48000 - 72000 ÂŁ per year.
About 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. At SPAICE, you’ll work on real missions alongside leading aerospace and defense contractors, shaping the future of space and autonomous systems. If you’re looking for a place where your work has a real, tangible impact – SPAICE is that place.
About the Role
Satellites that detect and avoid threats on their own. Drones that collaborate in GPS‑denied fields. Spacecraft that rendezvous with tumbling targets in orbit. All of these feats rely on rich scene understanding from multiple sensors. That’s where you come in. As a Computer Vision Scientist (Multimodal Sensing) you’ll lead the research and design of Spatial AI perception algorithms that fuse cameras, LiDAR, radar, event sensors, and more. Your work will unlock reliable detection, mapping, and semantic reasoning in the harshest terrestrial and orbital environments, and will flow directly into flight‑critical autonomy software used by defense customers and commercial operators alike.
What you might work on:
- Space & defense missions.
- Design perception pipelines for situational awareness, collision detection and avoidance, formation flying, and terrain mapping and surveillance.
- Design Spatial AI components.
- Create architectures that combine visual, inertial, and depth cues for robust, multi‑sensor scene understanding.
- Sensor fusion & neural representations to enable high‑fidelity world models onboard resource‑limited hardware.
- Semantic understanding & visual place recognition to identify structures, landmarks, and dynamic obstacles in real time.
- Camera pose estimation, monocular depth estimation, and dense 3D reconstruction both in simulation and on‑hardware testbeds.
- Rapid prototyping with a team of ML and robotics engineers, followed by integration into flight processors and edge AI accelerators.
What we are looking for:
- PhD in Computer Vision, Robotics, or a related field (or equivalent industry research experience pushing the state of the art).
- Proven expertise in multimodal perception and sensor fusion (two or more: vision, LiDAR, radar, event cameras, IMU).
- Publication or product track record in multimodal sensing/neural representations/SLAM for robotics or autonomous navigation in journals and conferences (e.g. CVPR, ICLR, ICRA, ICCV, NeurIPS).
- Deep knowledge of semantic scene understanding and visual place recognition under extreme lighting and viewpoint changes.
- Hands‑on experience with camera pose / SLAM and monocular depth estimation on embedded or real‑time systems.
- R&D leadership – comfort taking vague, high‑risk concepts from ideation through prototype to mission deployment while mentoring junior engineers.
- Bonus: familiarity with radiation‑tolerant hardware, edge AI acceleration, or flight qualification processes.
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.
Computer Vision Scientist (Multimodal Sensing) employer: SPAICE
Contact Detail:
SPAICE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Scientist (Multimodal Sensing)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at SPAICE. A friendly chat can open doors that applications alone can't. Use LinkedIn or attend relevant meetups to make those connections.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to computer vision and multimodal sensing. This is your chance to demonstrate your expertise and passion, so make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by diving deep into SPAICE's mission and recent projects. Tailor your responses to highlight how your experience aligns with their goals. Being knowledgeable about their work shows genuine interest and can set you apart.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're proactive and serious about joining the team. Don’t forget to follow up after applying to keep your name fresh in their minds!
We think you need these skills to ace Computer Vision Scientist (Multimodal Sensing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Computer Vision Scientist role. Highlight your experience with multimodal perception and sensor fusion, and don’t forget to mention any relevant publications or projects that showcase your expertise.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about spatial AI and how your skills align with our mission at SPAICE. Be specific about what excites you about the role and how you can contribute.
Showcase Your Projects: If you’ve worked on any cool projects related to computer vision or robotics, make sure to include them in your application. We love seeing practical examples of your work, especially those that demonstrate your ability to tackle complex problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at SPAICE
✨Know Your Stuff
Make sure you brush up on your knowledge of multimodal perception and sensor fusion. Be ready to discuss your past projects, especially those involving cameras, LiDAR, and radar. SPAICE is looking for someone who can demonstrate a deep understanding of these technologies, so be prepared to dive into the technical details.
✨Showcase Your Research
If you've published papers or contributed to conferences like CVPR or NeurIPS, bring that up! Discussing your research will not only highlight your expertise but also show your passion for the field. Make sure to explain how your work relates to the challenges SPAICE is tackling in autonomous systems.
✨Think Like a Problem Solver
SPAICE is all about tackling high-risk concepts and turning them into prototypes. Be ready to share examples of how you've approached complex problems in the past. They want to see your thought process and how you mentor others through challenges, so don’t hold back!
✨Get Familiar with Their Mission
Understand SPAICE's goals and the impact of their work in space and defence. Being able to articulate how your skills align with their mission will set you apart. Show enthusiasm for their projects and express how you can contribute to their vision of autonomy in challenging environments.
