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# Staff Machine Learning Infrastructure Engineer, Simulation Waymo London, UK

- **Company:** Waymo
- **Location:** London, UK
- **Experience:** Expert
- **Salary:** £155,000.0 - £163,000.0
- **Contract:** Permanent contract
- **Skills:** Information Engineering, Distributed Computing Environment, Distributed Systems, Machine Learning, Software Architecture, Tensorflow, Software Engineering, Pytorch, Multi-Agent Systems, Information Technology, Machine Learning Operations
- **Published:** August 14, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/43963792/

## About the Role

technical leadership on large-scale ML model architectures, especially for autonomous vehicle models. Work at the intersection of data engineering, model development, and deployment, and provide guidance on architectural decisions and technical directions. Own large, complex systems, driving architectures that meet technical and business objectives. Design and scale large distributed systems covering the ML lifecycle, supporting planet-scale dataset generation and model training. Collaborate cross-functionally to derive performance and system-level requirements for large ML systems. Translate product/business goals into measurable technical deliverables, ensuring system component alignment. Mentor junior engineers, growing their expertise and fostering a collaborative culture. You have: BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience 5+ years of professional software engineering experience, with at least 3 years in machine
learning infrastructure such as developing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model. We prefer: MS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience 10+ years of professional software engineering experience, with at least 5 years in machine learning infrastructure such as developing, designing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model. Solid experience in the development and optimization of machine learning infrastructure tools like DeepSpeed, PyTorch, TensorFlow, or similar frameworks. Strong expertise in distributed training techniques, including gradient sharding and optimization strategies for scaling large models across ML accelerator profiling tools to uncover performance bottlenecks. Deep understanding of state-of-the-art machine learning models such as auto-regressive transformers and
familiarity with custom-kernels for diverse h/w compute based efficiency. Practical familiarity in Autonomous Driving, Simulations, and ML accelerators is a huge plus. The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range £155,000 - £163,000 GBP #J-18808-Ljbffr

## Description

the simulations, we employ large foundation models trained on massive datasets to model the real world, including but not limited to, realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.), roads, traffic control systems, and weather etc. We seek an experienced Senior Machine Learning Infrastructure Engineer to lead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models in ML accelerator-friendly simulations. Your expertise in massive model scaling, ML accelerators, and distributed training will be required for designing and scaling our systems. This role reports to an Engineering Manager. You will: Be part of a world-class, high-performing research engineering team to advance the state of the art of ultra realistic multi-agent simulations using foundation models. Collaborate closely with the core Google DeepMind and Waymo Realism Modeling teams in London, and Waymo Oxford to use the large models to improve sim realism. Provide deep


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