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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering ML-driven behaviors for autonomous driving, with a strong focus on deep learning, real-time systems, and collaborative driving initiatives. Proven ability to mentor engineers and influence technical direction while ensuring smooth integration across teams.
Highest-signal resume keywords
Deep Learning ExpertisePython ProficiencyML Frameworks (PyTorch)Real-Time Systems ExperienceAutonomous Driving Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Deep LearningSequential ModelsControlPlanningPerceptionSoftware Engineering PracticesImitation LearningTrajectory PredictionPersonalizationHuman Behavior Modeling
Soft Skills
MentoringTechnical LeadershipCollaboration
Tools & Technologies
C++CUDASimulation ToolsRobot SoftwareEvaluation Pipelines
Industry Keywords
Autonomous DrivingMulti-Agent SimulationProduction HardwareBehavior ConditioningUser Alignment
Tech Stack
Tools & technologiesPythonPyTorchC++
About the role
Key responsibilities & impact- Design and deliver ML-driven behaviours that scale from assisted to autonomous driving
- Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalisation
- Drive projects on personalised and collaborative driving, including behaviour conditioning, comfort tuning, and user alignment
- Build evaluation pipelines and metrics for closed-loop and open-loop driving performance and product readiness
- Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development
- Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems
- Collaborate with AI Platform, Simulation, Robot SW, and Model Release teams
- Collaborate across teams to keep integration smooth and iteration fast
- Mentor engineers and help shape the long-term technical direction across Autonomy
Requirements
What you’ll need- Extensive and proven track record of shipping deep learning systems to production
- Expert in deep learning, especially sequential models, control, planning, or perception
- Proficient in Python and other relevant languages, such as C++ and CUDA
- Proficient in ML frameworks, especially PyTorch
- Solid foundation in software engineering practices
- Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components
- Ability to lead technical initiatives across teams, drive alignment, and mentor engineers
- Prior work in autonomous driving, imitation learning, or trajectory prediction is desirable
- Familiarity with personalization, human behavior modeling, or driver intent inference is desirable
- Experience integrating ML systems into production hardware or multi-agent simulation is desirable
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
- Chance to work hands on in vehicle workshops and labs
- Learning and development budgets with support for training, conferences and growth
- Health insurance
- Dental insurance
- Enhanced maternity and paternity leave
- Retirement or pension where applicable
- Access to therapists
- Wellbeing partnerships
- Team socials