Software Engineer, System Performance, Robot Software

• Join the System Performance team equipping all Wayve teams with observability, profiling tools, and infrastructure to understand and optimise software performance across the development fleet. • Investigate latency and performance bottlenecks across the entire software stack. • Enhance core onboard components to ensure efficient use of compute and a solid foundation for running model experiments at scale.

• Have proficiency developing high-performance embedded Linux systems software in C++ with 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 latency and performance bottlenecks across the entire software stack. • Instrument code with profiling tools and metrics to collect performance data and identify optimisation opportunities. • Integrate and evaluate new profiling and instrumentation tools to benchmark system performance and establish baselines. • Collaborate with multiple teams to understand their performance pain points and prioritise optimisation efforts based on impact. • Optimise critical code paths and algorithms to improve runtime efficiency, reduce latency, and enhance overall system 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.

• Join the leading developer of Embodied AI technology founded in 2017. • Work on cutting-edge AI and autonomous driving technology. • Benefit from a hybrid working policy combining office and remote work. • Operate core working hours so you can determine the schedule that works best for you and your team.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. The Robot Software team is responsible for the software that runs on the internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. The System Performance team provides observability, profiling tools, and infrastructure needed to understand and optimise software performance across the development fleet.