Staff Robotics Engineer

Wayve•Sunnyvale, CA
•Hybrid

About The Position

Wayve is seeking a Robotics Software Engineer to join its Online Calibration team and help scale calibration capabilities across its autonomous vehicle fleet. The role focuses on turning calibration and estimation methods into reliable, observable, and resource-efficient components of the on-vehicle runtime. The engineer will collaborate across calibration, state estimation, robot software, hardware acceleration, and vehicle-platform teams, contributing to the architecture and roadmap for a foundational capability that affects vehicle performance, resilience, and safety. The role involves developing production software for online calibration that runs continuously on constrained, hardware-accelerated platforms. It requires working with asynchronous sensor data, accelerator-produced features, and noisy, time-varying calibration parameters while balancing correctness, debuggability, and runtime efficiency. The position is full-time and based in London, UK, or Sunnyvale, US, with a hybrid working model combining in-person collaboration in offices and workshops with remote work. Wayve describes itself as an autonomous-driving AI company building a mapless, hardware-agnostic platform that learns from real-world experience and works with global OEM partners.

Requirements

  • Strong practical expertise in sensor calibration, state estimation, or a closely related robotics domain, including calibration of cameras, LiDAR, IMUs, vehicle parameters, or multi-sensor systems.
  • Strong understanding of filtering and estimation methods, such as Kalman-family filters, Bayesian estimation, smoothing, robust estimation, or factor-graph optimisation.
  • Strong modern C++ software-engineering skills.
  • Proficiency in Python for prototyping, analysis, and test tooling.
  • Experience productionising algorithm-heavy robotics software for vehicles, robots, drones, aerospace systems, or comparable edge platforms, including clear lifecycle, failure-handling, and recovery behaviour.
  • Experience with asynchronous, high-throughput sensor data and hardware-accelerated pipelines.
  • Ability to optimise constrained compute and memory systems without losing correctness or debuggability.
  • Strong software architecture, API design, testing, debugging, and performance-profiling skills.
  • End-to-end ownership and effective cross-functional collaboration.

Nice To Haves

  • Experience with visual odometry, SLAM, localisation, sensor fusion, ego-motion estimation, or geometric computer vision.
  • Experience with GPU, DSP, NPU, or other hardware-accelerated robotics workloads.
  • Experience with production software at scale in a robotics or autonomous-systems company.
  • Experience with embedded Linux, edge-state management, rollback, automotive safety, or fault-injection testing.

Responsibilities

  • Extend the existing online calibration node, delivering robust production software within the team’s architecture and technical direction.
  • Adapt and integrate calibration and estimation algorithms for continuous or on-demand onboard execution.
  • Develop reliable handling for asynchronous sensor data, accelerator-produced features, and noisy, time-varying calibration parameters.
  • Strengthen validation, gating, persistence, and interfaces between the calibration node, onboard state, runtime consumers, logging, and fleet-facing systems.
  • Profile and optimise critical paths within compute, memory, storage, and latency constraints without compromising correctness or debuggability.
  • Build simulation, replay, bench, and on-vehicle tests.
  • Improve metrics, diagnostics, and fleet-level observability across nominal and failure scenarios.
  • Collaborate across calibration, state estimation, robot software, hardware acceleration, and vehicle-platform teams.
  • Contribute to the architecture and roadmap for online calibration.

Benefits

  • Meaningful equity.
  • Relocation support and visa sponsorship where applicable.
  • Hybrid working, core hours, and access to hands-on work in vehicle workshops and labs.
  • Learning and development budgets, with support for training, conferences, and growth.
  • Health insurance.
  • Dental benefits.
  • Enhanced maternity and paternity leave.
  • Retirement or pension benefits where applicable.
  • Access to therapists.
  • Wellbeing partnerships.
  • Team socials.
  • Salaries benchmarked against the market annually.
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