Senior Autonomy Engineer: Prediction & Planning

Watershed Ventures

United Kingdom

On-site

GBP 100,000 - 160,000

Full time

14 days+
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Job summary

Rivian in London is seeking a Senior Engineer in Prediction, Planning, and Controls to join our Autonomy team. Lead end-to-end development of learning-based and hybrid planning systems for production-oriented autonomous driving, from data and model development to in-vehicle validation.

The role requires strong robotics fundamentals, experience with transformer-based architectures, MPC, and real-time deployment. You will mentor peers and drive end-to-end delivery in a fast-paced environment.

Qualifications

  • Master’s or PhD in Robotics, Control Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
  • Strong background in autonomous driving prediction and planning, with hands-on experience in both research and deployment.
  • Deep knowledge of trajectory prediction and planning methods, including transformer-based architectures and sequence modeling.
  • Strong fundamentals in control and robotics, including MPC, graph search, state estimation, and vehicle behavior modeling.
  • Proficiency in Python and C++ for production-quality software development.
  • Hands-on experience with PyTorch and deployment acceleration frameworks (TensorRT/ONNX) in real-time systems.
  • Experience with ROS/Autoware-style robotics integration and simulation-based development workflows.
  • Strong understanding of open-loop vs closed-loop evaluation, KPI design, failure analysis, and safety-driven model validation.
  • Demonstrated technical leadership, cross-functional collaboration, and ability to deliver under tight product timelines.
  • Excellent communication and problem-solving skills in fast-paced, multidisciplinary environments.

Responsibilities

  • Design and implementation of learning-based prediction and planning systems, including end-to-end models for real-world driving.
  • Develop hybrid planning architectures that combine transformer-based prediction/planning with classical methods such as MPC and graph-based planning.
  • Drive end-to-end ownership across data collection, dataset curation, model training, optimization, deployment, and closed-loop evaluation.
  • Define and enforce safety and feasibility strategies for trajectory generation, including fallback behaviors and runtime safeguards.
  • Partner with Perception and Systems teams to integrate planning models into production-like stacks and ensure robust interface contracts.
  • Improve real-time inference performance for in-vehicle deployment using model optimization techniques and toolchains such as TensorRT.
  • Build and scale evaluation pipelines that connect offline metrics with closed-loop behavior in simulation and on-road testing.
  • Lead scenario-based validation for rare and safety-critical edge cases, and use results to drive model and system improvements.
  • Mentor peers and contribute technical leadership across planning and prediction initiatives.

Skills

Python
C++
PyTorch
TensorRT
ONNX
ROS/Autoware
MPC
Graph search

Education

Master’s or PhD in Robotics

Tools

ROS/Autoware
TensorRT
ONNX
PyTorch

Job description

Rivian in London is seeking a Senior Engineer in Prediction, Planning, and Controls to join our Autonomy team. Lead end-to-end development of learning-based and hybrid planning systems for production-oriented autonomous driving, from data and model development to in-vehicle validation.

The role requires strong robotics fundamentals, experience with transformer-based architectures, MPC, and real-time deployment. You will mentor peers and drive end-to-end delivery in a fast-paced environment.

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