The role
The Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. You will join a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.
The Runtime Platform team equips all Wayve teams with the observability, profiling tools, and infrastructure needed to understand and optimise software performance across our development fleet. We work closely with teams to investigate issues, reduce bottlenecks, and promote best practices. Our work enhances core onboard components to ensure efficient use of compute and a solid foundation for running model experiments at scale. We also provide the tooling and infrastructure needed to quickly detect, diagnose, and address performance regressions, helping teams move faster with greater confidence.
Key responsibilities:
Investigate latency and performance bottlenecks across the entire software stack
Instrument code with profiling tools and metrics to collect performance data and identify optimization 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 prioritize optimization efforts based on impact
Optimize critical code paths and algorithms to improve runtime efficiency, reduce latency, and enhance overall system performance
About you
In order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential
Software Development Skills: Proficiency developing high-performance embedded Linux systems software in C++. Demonstrated ability to manage the complete software development lifecycle from ideation through delivery & optimization
Proficiency with performance profiling tools and techniques for identifying and resolving system bottlenecks
Proven track record of methodical experiment evaluation
Strong technical background on OS scheduling, computer architecture (memory hierarchy, CPU caches, context switches, …), and thread synchronisation
Desirable
Familiarity with Nvidia performance tools such as NV NSight, NV Lumos and tegrastat
Familiarity with observability tools such as Grafana (logs, metrics, traces), Databricks, Datadog
Familiarity with QNX and Momentics is a plus
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.