Software Engineer - Runtime Platform, Robot Software

• Investigate latency and performance bottlenecks across the entire software stack running on Wayve's autonomous vehicle fleet. • Instrument code with profiling tools and metrics to collect performance data and identify optimisation opportunities. • Optimise critical code paths and algorithms to improve runtime efficiency, reduce latency, and enhance overall system performance. • Collaborate with multiple teams to understand performance pain points and prioritise optimisation efforts based on impact. • Integrate and evaluate new profiling and instrumentation tools to benchmark system performance and establish baselines.

• Have proficiency developing high-performance embedded Linux systems software in C++. • Have a demonstrated ability to manage the complete software development lifecycle from ideation through delivery and optimisation. • Have proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks. • Have a proven track record of methodical experiment evaluation. • Have a strong technical background in OS scheduling, computer architecture including memory hierarchy, CPU caches, and context switches, and thread synchronisation.

• Have familiarity with Nvidia performance tools such as NV NSight, NV Lumos, and tegrastat. • Have familiarity with observability tools such as Grafana, Databricks, and Datadog. • Have familiarity with QNX and Momentics.

• Investigate and resolve latency and performance bottlenecks across the full software stack. • Instrument code with profiling and metrics tooling to surface optimisation opportunities. • Optimise critical code paths for runtime efficiency and reduced latency. • Collaborate cross-functionally to understand team performance needs and prioritise impactful improvements. • Integrate and evaluate new profiling tools and establish performance baselines across the development fleet. • Contribute to the observability and profiling infrastructure that enables Wayve teams to move faster with greater confidence.

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 pattern with core working hours so you can determine the schedule that works best for you and your team. • Work on performance-critical software running on a real autonomous vehicle fleet. • Join a motivated, talented team at the frontier of embedded systems and autonomous driving AI. • Be part of a fast-paced, well-funded company with a clear mission to transform mobility. • Join a diverse, inclusive team backed by significant investment.

Wayve, founded in 2017, is the leading developer of Embodied AI technology. The Robot Software team is responsible for the software running on Wayve's internal fleet of vehicles — enabling autonomous driving and collecting data for training new driving models. The Runtime Platform team sits within Robot Software, equipping all Wayve teams with the observability, profiling tools, and infrastructure needed to understand and optimise software performance across the development fleet.