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The NPI Engineer leads the rollout of new hardware/software products, ensuring quality and performance through cross-functional collaboration, agile cycles, and stakeholder feedback.

As a Data Scientist at Wayve, you will generate actionable insights using causal methods and statistical frameworks to support AV product teams, focusing on complex data analysis and experimental techniques.

The Technical Operations Manager will bridge Science, Product, Engineering, and Operations, driving technical strategies into effective field operations and leading testing and validation programs.

Lead ownership of the vehicle sensing subsystem: define sensing requirements, drive sensor architecture and integration, build validation frameworks, set benchmarks and acceptance criteria, diagnose sensor issues, and partner with ML, Hardware, Vehicle SW and Product to ensure reliable on-road performance.

Design and lead the embedded software architecture for Wayve's autonomy platform. Develop prototypes and reference implementations, optimize system performance and reliability, collaborate with AI, platform, and vehicle teams and external partners (NVIDIA, Qualcomm, OEMs), drive modern development practices for high-assurance embedded software, mentor senior engineers, and represent Wayve in external technical discussions.

The Machine Learning Engineer role at Wayve focuses on leading initiatives in model-based autonomous driving, involving the development and delivery of ML-driven behaviors, collaboration across teams, and mentoring other engineers.