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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep expertise in Python software development and the ability to lead projects from discovery to delivery, focusing on building high-quality, reusable libraries and APIs for machine learning applications. Proven experience in guiding engineering teams and improving software architecture, testing, and observability standards.
Highest-signal resume keywords
Deep Python ExpertiseSoftware Architecture DesignDistributed Computing ExperienceML Framework FamiliarityCloud Environment Familiarity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python Software DevelopmentReusable Library DesignAPI DevelopmentConcurrent ComputingParallel ComputingDistributed TrainingObservabilityCheckpointingModular Library BuildingPerformance Improvement
Soft Skills
Project LeadershipCollaborationTechnical DirectionMentoring
Tools & Technologies
PyTorchTensorFlowAzureGPU Clusters
Industry Keywords
Machine LearningSoftware EngineeringHigh-Quality Software SystemsScalable Software
Tech Stack
Tools & technologiesAzureCloudPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Build high-quality platforms, tools and reusable abstractions for machine learning engineers and researchers
- Design and write Python software
- Lead projects from discovery through delivery
- Work closely with machine learning teams to understand workflows and translate complex requirements into stable, scalable and intuitive software
- Build modular libraries for multimodal data loading, distributed training and inference, checkpointing and observability
- Improve reliability, performance and developer experience across Wayve
- Support teams training models efficiently on large GPU clusters
- Enable work with camera, radar, lidar and other data sources
- Improve engineering standards and support users as they scale model performance
- Guide other engineers and drive projects through adoption and maintenance
Requirements
What you’ll need- Deep Python expertise
- Proven track record leading the design, delivery and long-term evolution of high-quality software systems at scale
- Ability to turn complex requirements across ML teams into stable, reusable libraries and clear APIs
- Ability to set technical direction and raise standards for software architecture, testing and observability
- Hands-on experience guiding other engineers and driving projects end to end
- Experience with concurrent, parallel or distributed computing
- Familiarity with ML frameworks such as PyTorch or TensorFlow is highly valuable
- Familiarity with cloud environments, ideally Azure, is highly valuable
- Staff-level software and platform engineering experience
- This is not an ML modelling position
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
- Learning and development budgets with support for training, conferences and growth
- Comprehensive health insurance
- Dental benefits
- Enhanced maternity and paternity leave
- Retirement or pension where applicable
- Access to therapists
- Wellbeing partnerships
- Team socials