• Join Wayve’s ML performance team as a Senior ML Performance Engineer, working hybrid from London.
• Optimise inference so large transformer-based models run efficiently on low-cost, low-power in-vehicle compute.
• Work hands-on across ML systems, compilers, runtimes, kernels and embedded deployment.
• Find bottlenecks and implement performance improvements on edge accelerators and GPUs.
• Partner with model developers so deployment-aware decisions are made early.
• Help turn research models into reliable production systems for Wayve’s driving product.
📋 Job Requirements
• Bring experience improving performance in production systems with latency, memory, bandwidth, power, thermal or cost constraints.
• Work hands-on with at least one stack such as TensorRT, CUDA, Qualcomm QNN, Triton or OpenCL.
• Move comfortably from high-level model behaviour down to kernel and runtime execution.
• Show strong software engineering fundamentals in debugging, profiling, testing and maintainable code.
• Communicate clearly and collaborate well across ML, systems and deployment teams.
🌟 Nice-to-have
• Bring experience deploying or benchmarking ML models on embedded or edge devices.
• Know NVIDIA and/or Qualcomm SoCs and their performance tooling.
• Write proficient Python and C++.
• Show experience supporting other engineers or shaping technical direction in a small team.
🎯 Responsibilities
• Profile inference performance across model graphs, compiler and runtime behaviour, kernel execution and memory movement.
• Implement and validate optimisations such as fusion, scheduling, quantisation-aware performance and custom kernels.
• Build benchmarking and regression tests to track performance across models, devices and releases.
• Optimise models for edge targets such as NVIDIA Orin/Thor and Qualcomm platforms.
• Work with model developers on performance trade-offs early in the design process.
• Contribute to team tooling, documentation and technical discussions on ML performance.
Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.
😃 What Wayve offers
• Earn a salary benchmarked against the market every year.
• Receive meaningful equity in Wayve’s long-term success.
• Get relocation support and visa sponsorship where applicable.
• Work hybrid with core hours and hands-on time in vehicle workshops and labs.
• Use a learning and development budget for training and conferences.
• Receive health and dental insurance, a pension and access to therapists.
• Enjoy enhanced maternity and paternity leave, wellbeing partnerships and team socials.
💖 What makes Wayve unique
Wayve is building an AI platform for autonomous driving, using an end-to-end approach where vehicles learn directly from real-world experience instead of hand-coded rules or pre-mapped environments. Its mapless, hardware-agnostic AI Driver integrates with global OEM partners and supports automation from L2+ through to L4. Founded in 2017 and headquartered in London, Wayve also has hubs in Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg.
💬 What employees say
"There’s a huge variety of people with different roles across different levels that I engage with almost daily at Wayve. Everyone is treated equally, and everyone’s opinion is valued."
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