Senior Software Engineer - Runtime Platform, Robot Software

Wayve

London (KY)

Hybrid

USD 106,000 - 146,000

Full time

14 days+
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Hybrid work policy

Job summary

Wayve in London is hiring a software engineer for the Robot Software group. You will work on the software that runs our autonomous driving fleet, building a reliable and scalable stack that enables on-road experiments and data collection for training new driving models.

The role emphasizes performance, profiling, and optimization across embedded Linux systems, with collaboration across teams to reduce latency and improve overall system efficiency.

Qualifications

  • Proficiency developing high-performance embedded Linux systems software in C++.
  • Proficiency with performance profiling tools and techniques for identifying bottlenecks.
  • Proven track record of methodical experiment evaluation.
  • Strong technical background in OS scheduling, memory hierarchy, CPU caches, and threading.

Responsibilities

  • Investigate latency and performance bottlenecks across the entire software stack.
  • Instrument code with profiling tools and metrics to collect performance data.
  • Integrate and evaluate new profiling and instrumentation tools to benchmark system performance.
  • 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 and reduce latency.

Skills

C++
Embedded Linux
Profiling tools
Experiment evaluation
OS scheduling
Computer architecture
Thread synchronization

Tools

NV NSight
NV Lumos
tegrastat
Grafana
Databricks
Datadog
QNX Momentics

Job description

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.

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 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.

A quick, honest note before you apply.

Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

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