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Principal Software Engineer, Robot Software

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Wayve
Full Time position
Listed on 2026-10-12
Job specializations:
  • Software Development
    Software Architect, Software Engineer, DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

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 organization builds the platform that turns autonomy models into dependable, observable software running across development and customer vehicles. The work spans application frameworks, inter-process communication, logging, deployment, platform reliability, developer experience, and the interfaces between autonomy software, hardware, simulation, and fleet operations.

As a Principal Software Engineer, you’ll be a technical peer and trusted adviser to Robot Software leadership. You’ll shape the 12–24 month technical roadmap, identify the highest-leverage platform investments, and lead cross-team delivery that improves reliability and developer velocity across multiple vehicle programs.

Your day-to-day
  • Partner with leadership to define and continuously refine the Robot Software technical roadmap.
  • Lead a small number of high-impact platform initiatives from ambiguity through delivery.
  • Align architecture and interfaces across Robot Software, Autonomy, Simulation, Evaluation, hardware, and OEM stakeholders.
  • Design systems that are observable, diagnosable, and supportable from thousands of kilometres away.
  • Improve developer experience, pre-merge validation, logging, metrics, deployment, and fault isolation.
  • Mentor senior engineers and help teams reach clear, evidence-based technical decisions.
What You’ll Be Working On
  • A unified robot-software platform that can support different vehicles, compute platforms, and sensor packages.
  • Application-framework and IPC approaches deployed across internal and partner platforms.
  • Reliable platform delivery for Gen2, Gen3, Nissan prototypes, Qualcomm reference platforms, and future programmes.
  • Fleet observability, diagnostics, logging, and proactive reliability metrics.
  • Simulation and emulation approaches that shift Robot Software validation earlier in development.
  • Portable build and deployment strategies across Jetson, DRIVE, Qualcomm, and partner base systems.
  • Cross-team technical decisions where reliability, performance, developer velocity, and programme outcomes intersect.
You should apply if
  • You have led large technical initiatives involving multiple engineering teams or senior collaborators.
  • You can define architecture and strategy while remaining close enough to the code to debug difficult cross-domain problems.
  • You are highly proficient with modern C++ and experienced in embedded, robotics, automotive, or similarly complex systems.
  • You communicate concisely, build trust across teams, and can move contentious technical decisions toward evidence-based conclusions.
  • You think in fleet-level outcomes such as reliability, uptime, deployment speed, and operational supportability.
  • You are comfortable balancing deep work with critical, unplanned technical leadership needs.

Experience with Linux/QNX, robotics middleware, platform integration, simulation, embedded compute, CI/CD, or large-scale fleet operations would be valuable.

Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.

More About Wayve

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve tead of relying on hand coded rules or pre mapped environments, our AI Driver…

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