AI Tech Suite

Engineering Director - Validation

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.

Education Requirements:

BS or MS in Computer Science, Engineering, or similar experience

Experience Requirements:

3+ years of leading complex teams with multiple management layers
Domain knowledge: validation methods – by design, system decomposition, traceability, statistical approaches
Domain knowledge: neural net understanding/introspection and/or validation
Domain knowledge: robotics including computer vision and motion – scenario understanding and simulation
Execution skills: resource allocation, program planning and execution

Other Requirements:

Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

Define and own the technical vision, strategy and metrics for your area, ensuring its teams and the rest of Wayve are aligned and galvanised
Design and grow a Validation engineering organisation covering model releases and system level validation
Cover all our AV product requirements (safety, utility, comfort) on a set of reference platforms with automated tests
Find architectural and implementation gaps throughout our systems
Drive requirements into our tooling development – simulators, generative AI, scenario understanding

Show more details

Engineering Manager - Datasets Enrichment

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.

Experience Requirements:

2+ years of engineering management experience in data, ML, or perception domains
Proven experience designing and scaling ML or data processing systems in production
Strong systems thinking across latency, throughput, observability, and robustness
Technical fluency in Python and/or modern data stack (e.g. Spark, Ray, Flyte, Databricks)
Track record of delivering high-quality engineering outcomes in complex domains

Other Requirements:

Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

Lead, grow, and mentor a team of 5–8 engineers across ML, perception, and data domains
Define and scale data enrichment pipelines, including semantic segmentation and cuboid annotation
Set and drive quality and throughput goals for all enrichment outputs
Drive architecture decisions that ensure robustness, efficiency, and scalability
Partner with infra and platform teams to productionize enrichment systems

Show more details

Engineering Manager - Machine Learning, Training Libraries

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.

Experience Requirements:

Demonstrated ability to build, manage and grow high-performing Machine Learning Engineering teams
Strong hands-on development experience in designing, implementing and maintaining high quality software systems, ideally in Python
Solid understanding of machine learning fundamentals
Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables
Track record of promoting software engineering best practices and excellence within the team

Other Requirements:

Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

Lead a team of software engineers and ML engineers, providing clarity for execution and support for personal growth
Collaborate with other leaders across ML modeling, data engineering and infrastructure to understand their needs and communicate your roadmap
Prioritise effectively, implement and maintain lean and effective team processes
Build resilient and reliable systems and teams, anticipate the needs of the business 18 months out, identify areas where additional resources are needed and grow team as hiring manager
Lead technical discussions and guide technical direction where needed

Show more details

Engineering Manager – Indexing and Search Systems

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.

Experience Requirements:

2+ years experience leading high-performing engineering teams
Proven track record designing and scaling distributed systems, particularly search or indexing infrastructure
Experience with vector similarity search, ANN algorithms, or semantic retrieval systems
Strong technical fluency with Python and/or systems-level languages (e.g., C++, Go); familiarity with data stack components like Spark, Ray, Databricks
Comfort working with ML workflows or embedding-based pipelines

Other Requirements:

Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

Lead and grow a team focused on the design, scaling, and reliability of Wayve’s corpus indexing systems
Define the technical architecture for embedding-based retrieval, metadata-based querying, and multi-modal index structures
Establish engineering rituals (planning, standups, retros) and team delivery rhythm
Work closely with ML, data curation, and simulation teams to align indexing priorities with downstream workflows
Ensure the indexing system meets evolving performance, recall/precision, and observability needs at scale

Show more details

Engineering Manager, AI Synthesis

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.

Experience Requirements:

Proven track record of managing high-performing machine learning engineering teams
Strong understanding of generative AI, including experience with model training and deployment
Experience with roadmap planning, stakeholder management, requirements gathering, and alignment with peers towards milestones and deliverables
Demonstrated ability to guide the development and operationalisation of ML models, with attention to model lifecycle, reliability, and performance
Track record of promoting software engineering and ML Ops best practices within the team

Other Requirements:

Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

Define and drive the engineering roadmap for synthetic data generation using generative AI
Lead technical discussions across research and engineering, and guide architectural and implementation decisions across model training, deployment, and data delivery pipelines
Set effective KPIs and metrics to evaluate model quality, generation throughput, coverage, and overall impact on system evaluation
Build scalable, reliable systems and teams, anticipate the needs of the business 18 months out, identify areas where investment is needed, and grow the team as hiring manager
Prioritise effectively, implement and maintain lean, ML-ops friendly team processes that support both iterative model development and robust internal tool delivery

Show more details

Engineering Manager, Collision Avoidance

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.

Experience Requirements:

Proven track record of managing engineering teams
Solid understanding of machine learning fundamentals
Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables
Track record of promoting software engineering best practices and excellence within the team
Demonstrated ability to manage software engineers and grow their careers

Other Requirements:

Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

Help define and drive the Collision Avoidance roadmap, lead technical discussions and guide direction where needed
Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact
Understand Wayve’s end-to-end approach and how it maps to AV 1.0
Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system
Drive cross-functional initiatives through effective communication

Show more details

Machine Learning Engineer - Autonomy

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.

Experience Requirements:

Strong track record of shipping deep learning systems to production
Expert in deep learning (esp. sequential models, control, planning, or perception)
Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a 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

Other Requirements:

Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization
Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment
Build evaluation pipelines and metrics for both 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

Show more details

Machine Learning Engineer - Autonomy

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.

Experience Requirements:

7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production
Expert in deep learning (esp. sequential models, control, planning, or perception)
Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a 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

Other Requirements:

Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization
Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment
Build evaluation pipelines and metrics for both 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

Show more details

Principal Machine Learning Engineer - Autonomy

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.

Experience Requirements:

7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production
Expert in deep learning (esp. sequential models, control, planning, or perception)
Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a 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

Other Requirements:

Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization
Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment
Build evaluation pipelines and metrics for both 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

Show more details

Senior Fullstack Software Engineer, Onboard Experience

Wayve AI Driver is an advanced AI technology enabling autonomous vehicles to achieve unmatched driving performance and navigate complex challenges in self-driving.