Principal Engineer, Data & Compute

• Design and guide the evolution of the foundational compute and storage systems that fuel Wayve's model development lifecycle. • Sit at the strategic core of AI, systems, and cloud infrastructure, owning challenges that few companies have the ambition or scale to tackle. • Work across workloads spanning thousands of GPUs, petabytes of driving data, and geographically distributed training and inference clusters.

• Have 10+ years designing and building large-scale distributed systems, with at least 4 years focused on GPU-based cloud infrastructure. • Have proven experience enabling large-scale AI training, inference, or computer vision workloads in GPU clusters. • Have a deep understanding of petabyte-scale data architecture, including storage federation, high-throughput access, and data locality for AI workloads. • Demonstrate strong technical leadership with a track record of defining and communicating architectural strategy, balancing long-term vision with delivery needs. • Be a natural mentor with a history of developing engineers and influencing technical direction across teams. • Hold an advanced degree in Computer Science, Electrical Engineering, or a related field, or have equivalent industry experience.

• Have experience with multi-cloud orchestration, particularly in latency- or cost-sensitive training and inference pipelines. • Be familiar with systems like Ray, Kubernetes, Airflow, or Flyte, with deep fluency in AI/ML job scheduling, model lifecycle management, and infrastructure-as-code practices. • Have a background in supporting safety-critical or real-time inference use cases such as robotics, autonomous vehicles, or aerospace. • Have a passion for building infrastructure-as-a-product that delivers performance and simplicity to research and product teams alike.

• Define and evolve the architecture for how Wayve allocates and orchestrates training and inference workloads across thousands of GPUs and multiple data centres, ensuring optimal throughput, resiliency, and cost efficiency. • Design systems that enable fast, reliable access to high-volume sensor and simulation data across geographies, preparing Wayve for exabyte-scale operations. • Build the foundations that enable large-scale AI workloads to run seamlessly across hybrid and multi-cloud environments. • Act as a trusted partner to leadership in aligning compute investments and architecture with company strategy, growth plans, and performance goals. • Uplift the broader engineering organisation through architectural coaching, technical deep dives, and by cultivating a culture of operational and engineering excellence.

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.

• Work in a hybrid model from Wayve's London office. • Join a well-funded company backed by leading investors, founded in 2017 and pushing the boundaries of embodied AI. • Receive a competitive equity package. • Work in an inclusive environment that values diversity and embraces new perspectives.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Its advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Wayve's intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. Wayve teaches machines to drive not by coding rules but by training end-to-end neural networks that learn from vast streams of real-world data.