Location: London, UK (Hybrid – 3 days office)
Company: Series C Autonomous Mobility Startup
Join a groundbreaking team that’s redefining autonomous driving through AI that learns like humans do. Following our record-breaking $1B+ Series C round led by SoftBank, we’re rapidly scaling our embodied AI technology that enables vehicles to adapt to any environment without HD maps or infrastructure dependency. With recent commercial partnerships including a major automotive OEM for 2027 vehicle integration and active trials across London’s delivery networks, we’re moving from research to real-world deployment. Our innovative approach has attracted backing from Microsoft, Nvidia, and Uber, positioning us at the forefront of the autonomous vehicle revolution as we expand globally into Germany, Japan, and the US market.
What You’ll Do:
- Build and deploy production ML models for real-time perception and decision-making
- Develop end-to-end deep learning systems for autonomous navigation
- Collaborate with robotics engineers to integrate AI models with hardware platforms
- Optimize model performance for edge deployment and low-latency inference
Requirements:
- MSc/PhD in Computer Science, ML, or related field
- 3+ years experience with PyTorch/TensorFlow in production
- Strong background in computer vision and/or reinforcement learning
- Experience with CUDA, model optimization, and edge deployment
- Knowledge of autonomous systems, robotics, or similar domains preferred
What We Offer:
- Equity package in a rapidly scaling company
- £80k-£140k base salary + benefits
- Opportunity to shape the future of autonomous technology
- Work with world-class AI researchers and engineers
