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Embedded Automotive Platforms, Senior Software Engineer

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EMP:Technology
London, United Kingdom
Tiempo Completo
Remoto
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Descripción

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.

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our Engineering TeamsProduction Software sits within Vehicle SW Engineering and builds the core software infrastructure that lets self-driving models interface with vehicles, be tested, and run safely in production

As part of a team restructure, this role is a high-impact opportunity to help define foundational components and engineering practices as the team scales to roughly 5–6 engineers.

You will work on mission-critical, performance-sensitive systems that sit between advanced ML models and embedded/vehicle platforms, with the opportunity to specialise in mapping/navigation, filtering/diagnostics, or control/inference while still collaborating across domains.

 🧠 Your day-to-dayBuild and maintain core C++/Python software components that interface with autonomy models and vehicle/embedded systems.

  • Develop infrastructure to communicate with, run, and test self-driving capabilities, separate from ML model development.
  • Own reliability and performance of key systems across Linux-based environments, and contribute to tooling and diagnostics for testing and validation.

Partner with the wider org, distributed across London, Israel, and the US, to integrate changes and support releases.

Depending on the specific role, focus primarily on one domain area: localisation/navigation/mapping, filtering/diagnostics, or control/inference.

 🧩 What you’ll be working onDesign, build, and maintain core C++/Python software components that interface self-driving models with vehicle and embedded systems.

Build and run infrastructure to communicate with, run, and test self-driving capabilities, kept separate from ML model development itself.

  • Own the reliability and perf.

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