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

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

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