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Wayve

Staff Robotics Engineer

Wayve

. Develop robust production software for online calibration on constrained, hardware-accelerated platforms .

Posted 11/9/2026full-timeSunnyvale • California • United StatesLead💰 $276,100 - $293,750 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates strong expertise in sensor calibration and state estimation, with proficiency in modern C++ and Python for developing robust production software in robotics and autonomous systems. Capable of optimizing performance in constrained environments while ensuring correctness and debuggability.

Highest-signal resume keywords
Sensor Calibration ExpertiseState Estimation MethodsModern C++ Software EngineeringPython Prototyping and AnalysisAsynchronous Sensor Data Handling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Sensor CalibrationState EstimationKalman FiltersBayesian EstimationC++ ProgrammingPython ProgrammingAlgorithm ProductionPerformance ProfilingAPI DesignTesting and Debugging
Tools & Technologies
Embedded LinuxGPUDSPNPUHardware-Accelerated Pipelines
Industry Keywords
RoboticsAutonomous SystemsVisual OdometrySLAMSensor FusionEgo-Motion EstimationGeometric Computer VisionAutomotive SafetyFault-Injection TestingEdge-State Management

Tech Stack

Tools & technologies
LinuxNode.jsPythonC++

About the role

Key responsibilities & impact
  • Develop robust production software for online calibration on constrained, hardware-accelerated platforms
  • Extend the existing online calibration node within the team’s architecture and technical direction
  • Adapt and integrate calibration and estimation algorithms for continuous or on-demand onboard execution
  • Handle 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
  • 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
  • Help shape the architecture and roadmap for a foundational capability affecting vehicle performance, resilience, and safety

Requirements

What you’ll need
  • 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, including 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
  • Software architecture, API design, testing, debugging, and performance-profiling skills
  • Experience with visual odometry, SLAM, localisation, sensor fusion, ego-motion estimation, or geometric computer vision is advantageous
  • Experience with GPU, DSP, NPU, or other hardware-accelerated robotics workloads is advantageous
  • Experience with production software at scale in a robotics or autonomous-systems company is advantageous
  • Experience with embedded Linux, edge-state management, rollback, automotive safety, or fault-injection testing is valuable

Benefits

Comp & perks
  • Meaningful equity, sharing in the ownership and long term success of Wayve
  • Relocation support and visa sponsorship where applicable
  • Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
  • Learning and development budgets with support for training, conferences and growth
  • Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more