At a Glance
- Tasks: Architect spatial intelligence for humanoid robots and develop advanced 3D reasoning capabilities.
- Company: Join Humanoid, the UK's pioneering AI and robotics company.
- Benefits: Enjoy 23 days annual leave, private healthcare, and free meals at work.
- Other info: Fast-paced, research-driven environment with excellent career growth opportunities.
- Why this job: Make a real impact in robotics and collaborate with top-tier engineers.
- Qualifications: Exceptional software engineering skills and experience in machine learning for vision.
The predicted salary is between 70000 - 90000 € per year.
Humanoid is the first AI and robotics company in the UK, creating the world's most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.
What You'll Do:
- Architect the spatial intelligence layer that unifies 3D geometry with semantic scene understanding to ensure safe and efficient navigation and locomotion in complex environments.
- Develop advanced 3D spatial reasoning capabilities that provide our robots with long-term persistent spatial memory and a deep contextual awareness of their surroundings.
- Own the entire perception lifecycle by training large-scale multimodal networks and deploying and integrating them for ultra-low latency performance on edge hardware.
- Bridge the gap between conceptual research and physical reality by implementing state-of-the-art 3D representations that track and interpret the environment state.
- Collaborate with cross-functional teams to bridge the gap between large-scale model training and reliable robot integration.
- Stay ahead of the field, rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap.
What We're Looking For:
- Exceptional software engineering skills with a proven track record of shipping complex ML systems into production.
- Strong background in 3D scene understanding and the design of efficient spatial data structures.
- Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, transformers, or multi-modal architectures).
- Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems.
- High-impact individual contributor capable of taking projects from conceptual research to high-performance robot code.
- Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools.
What We Offer:
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays.
- Fully funded private healthcare for UK employees, with broad provider access, virtual and in‐person care, and strong mental health and serious illness support.
- Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in‐office.
- Collaboration with top‐tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
Senior Perception Engineer - Spatial Intelligence in London employer: LinkedIn
Humanoid is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among top-tier engineers and researchers in the AI and robotics field. Located in London, employees benefit from meaningful time off, fully funded private healthcare, and a generous pension scheme, all while having the freedom to influence product development and own key initiatives in a fast-paced, research-driven environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Perception Engineer - Spatial Intelligence in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Humanoid. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to spatial intelligence and machine learning. This gives us a tangible way to see what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of 3D scene understanding. Practice common algorithms and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Humanoid.
We think you need these skills to ace Senior Perception Engineer - Spatial Intelligence in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your exceptional software engineering skills and experience with complex ML systems. We want to see how you've shipped projects in the past, so don’t hold back on those details!
Tailor Your Application:Take a moment to tailor your application specifically for the Senior Perception Engineer role. Mention your background in 3D scene understanding and machine learning for vision, as this will show us you’re the right fit for our team.
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate straightforward communication, so make sure your points are easy to understand and get straight to the heart of your experience.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at LinkedIn
✨Know Your Stuff
Make sure you brush up on your knowledge of 3D scene understanding and spatial data structures. Be ready to discuss your past projects and how they relate to the role, especially any experience with large-scale ML systems and PyTorch.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach bridging the gap between conceptual research and practical implementation in robotics. This will demonstrate your ability to think critically and creatively.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team success in fast-paced environments.
✨Stay Ahead of the Game
Familiarise yourself with the latest trends in embodied AI and spatial intelligence. Being able to discuss recent advancements or model architectures will show your passion for the field and your commitment to staying current.
