SLAM Principal Engineer, Robotics - London, United Kingdom - Wayve

    Wayve
    Wayve London, United Kingdom

    2 weeks ago

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    Description

    Who we are

    We're building artificial intelligence capable of complex driving using end-to-end deep learning; one which can scale across diverse urban environments. Wayve is building a full driving software system which is data-driven at every layer, learning to drive. Our unique end-to-end machine learning approach learns to drive in complex, never-seen-before urban environments. We learn to drive with computer vision by both observing human driving, and by using reinforcement learning.

    This is one of the world's hardest and most impactful problems to solve. Which is why we're building a diverse, world-class team of people who are motivated by the opportunity to work with brilliant people on challenging problems that leave a positive impact on society.

    Where you will have an impact

  • Build a robust SLAM system which runs at scale across 100's of vehicles and millions of hours of driving data, producing high quality supervision signals for model training
  • Set technical direction for SLAM codebase and drive execution
  • Be an advocate for best practices and state of the art within Robotics

    • Challenges you will own

  • Multi-sensor odometry and sensor calibration, across cameras, inertial and radar sensors
  • Full development life cycle of our SLAM systems - from research and prototyping, to the development of a high quality, tested code that runs efficiently at scale
  • Understand the needs and use cases of SLAM internally at Wayve, aligning the SLAM roadmap across programme requirements to maximise impact

    • What we are looking for

  • Essential Experience as a core developer/researcher in SLAM, Visual Odometry, Localisation or State Estimation codebaseExperience deploying SLAM systems to real world, e.g. AVs, AR/VR, UAVStrong C++ and Python fundamentals
    Desirable PhD in computer vision, 3D geometry, SLAM, localisation, mapping, or other relevant fieldExperience deploying SLAM systems at scale in outdoor environmentsExperience with Ceres or similar nonlinear least squares optimisation frameworkExperience with sensor modalities other than cameras, e.g. lidar, radar, inertial

    • What we offer you

  • Competitive compensation with salary and equity
  • Immersion in a team of world-class researchers, engineers and entrepreneurs
  • A position to shape the future of autonomous driving and to tackle the biggest challenges of our time
  • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more
  • This is a full-time role based in our office in King's Cross. If your role is possible to do remotely we support flexible working, including working for up to 2 weeks from anywhere in the world. We trust you to know what works best for your team and projects and ask that you have a healthy presence that enables the right meetings to happen in person and strong relationships to be built.