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Senior Software Engineer - Runtime Platform, Robot Software

Wayve

RemoteLondon, United KingdomFull TimeSenior
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Location
London, United Kingdom
Employment
Full Time
Work model
Hybrid
Level
Senior
Posted

Skills

DatabricksDatadogGrafana

About this role

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams Wayve’s Robot Software team builds the software that runs across our internal vehicle fleet, enabling autonomous driving and collecting the data used to train new driving models. We deliver a reliable, stable, and flexible software stack that allows model developers and scientists to run on-road experiments, iterate quickly, and bring new autonomous-driving capabilities to life. The Runtime Platform team owns the shared foundations that the onboard software stack depends on: application frameworks, communication middleware, application lifecycle management, system health monitoring, performance, and observability. We build reusable runtime capabilities that help engineering teams develop and operate reliable software across different vehicles, operating systems, and compute platforms. As a Software Engineer, Runtime Platform, you’ll develop shared runtime software, investigate end-to-end performance, and help guide architectural decisions across Robot Software. Your work will help the onboard stack meet its latency, throughput, reliability, and resource requirements as it evolves and moves onto new platforms.   🧠 Your day-to-day Design, build, and maintain shared onboard application frameworks and developer interfaces. Develop application lifecycle management, health monitoring, fault reporting, and runtime diagnostics. Evolve Wayve’s communication middleware by evaluating technologies, migrating components, and supporting new operating systems and compute platforms. Investigate latency and performance bottlenecks across the full onboard software stack. Instrument software with profiling tools and metrics to identify optimisation opportunities. Collaborate with engineering teams to understand performance pain points and prioritise improvements by impact. Work with internal teams and middleware suppliers to resolve integration issues and establish shared APIs, documentation, and best practices. 🧩 What you’ll be working on Shared runtime services and application frameworks used across Robot Software. Communication middleware and high-throughput, low-latency inter-process communication. Application lifecycle, system health monitoring, fault reporting, and runtime resource management. End-to-end profiling across OS scheduling, memory hierarchy, CPU caches, context switching, thread synchronisation, and critical code paths. New profiling and instrumentation tools for benchmarking system performance and establishing baselines. Automated benchmarks and CI checks that detect performance regressions and validate runtime behaviour across supported platforms. Ports and integrations across new operating systems, vehicle compute, and hardware platforms. Observability infrastructure for logs, metrics, traces, and fleet-level performance analysis.   🙌 You should apply if You have strong software-development experience in C++. You are proficient with performance-profiling tools and techniques for finding and resolving system bottlenecks. You have a proven, methodical approach to designing experiments and evaluating results. You have a strong foundation in OS scheduling, computer architecture, memory hierarchy, CPU caches, context switching, and thread synchronisation. You have developed or maintained middleware, application frameworks, communication infrastructure, lifecycle management, or shared runtime services. You can design maintainable interfaces and help multiple engineering teams integrate and adopt shared software components. You can collaborate across teams to turn performance data into clear architectural and optimisation decisions. Deep experience with

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