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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing fault detection and fallback systems for robotics, with a strong focus on technical strategy, system robustness, and cross-team collaboration. Proficient in Python and C++ for robotics applications, with experience in deploying and maintaining fleets of robots under real-world conditions.
Highest-signal resume keywords
Fault Detection And Fallback SystemsPython ProgrammingC++ ProgrammingTechnical LeadershipRobotics Solutions Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Fault Detection MechanismsRobotics Solutions DevelopmentIntegration Into Shared Driving StackCollision AvoidanceModel UnderstandingSimulation And EvaluationInference OptimisationLarge-Scale Data AnalysisDeployment On VehiclesTroubleshooting Robotics Solutions
Soft Skills
Technical JudgementCommunicationMentoringCollaborationLeadership
Tools & Technologies
Embedded SystemsReal-Time SystemsCloud-Based MonitoringRobotic Tooling
Industry Keywords
Driverless OperationFleet ManagementSafety-Relevant Trade-OffsArchitecture ReviewsResearch And Production Deployment
Tech Stack
Tools & technologiesCloudPythonC++
About the role
Key responsibilities & impact- Set the technical strategy and roadmap for fault detection and fallback, including behavioural scope, operating envelope, system interfaces, and measurable acceptance criteria
- Design and train fault detection mechanisms to enable robust driverless operation
- Collaborate across machine learning, inference optimisation, and software engineering
- Lead integration into the shared driving stack and align technical decisions across teams
- Improve system robustness beyond fault detection and fallback
- Develop fault detection and fallback systems from strategy through deployment on the vehicle
- Work on collision avoidance, model understanding, and robustness under failure
- Use large-scale training and fleet data with research, simulation, evaluation, and applied engineering partners
- Raise technical standards through architecture reviews, mentoring, and communication of risks, trade-offs, and evidence
Requirements
What you’ll need- Proficient in developing, implementing, and troubleshooting robotics solutions, backed by practical, real-world experience
- Track record of staff-level technical leadership, setting direction for ambiguous programmes, aligning multiple teams, and carrying work from research through production deployment
- Strong technical judgement and communication, able to make safety-relevant trade-offs explicit and lead without relying on formal authority
- Comfortable working in Python and C++ for robotics
- Experience deploying and maintaining fleets of robots or vehicles at scale under real-world conditions
- Familiarity with embedded or real-time systems, or hands-on machine learning and inference optimisation experience, is a plus
- Bonus if you've built tooling to triage and debug robotic systems, or set up cloud-based monitoring for large-scale fleets
Benefits
Comp & perks- Meaningful equity, sharing in the ownership and long term success of Wayve
- Relocation support and visa sponsorship where applicable
- Hybrid working and core hours
- 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 partner discounts and more
