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The Engineering Manager will lead the US Application Engineering team, oversee the software bring-up on customer hardware, manage integration processes, and support team growth in the field of AI and autonomous vehicles.

The Software Integration Engineer will integrate AI software stack on customer hardware, support system diagnostics, and enhance automotive software performance.

As a Staff Machine Learning Engineer, you will lead the development and deployment of AI models for autonomous driving, focusing on safety and reliability. Responsibilities include driving the roadmap, training models, and collaborating across teams.

The Application Software Engineer will focus on integrating AI technology for autonomous driving, ensuring software functionality on hardware platforms, and collaborating across teams for smooth delivery.

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.

Lead and operationalize on-road ADAS testing in Eastern North America. Translate strategy into tactical plans, manage shift leads and resource allocation, deliver testing outputs and performance metrics, liaise with cross-functional teams, implement continuous improvement, and ensure safety and operational efficiency.

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.

Lead and grow a TPM function for the Data org, owning delivery of data platform, ingestion, pipelines, enrichment, labeling, and dataset quality. Drive flagship programs, establish scalable governance and KPIs, coordinate cross-functional dependencies, and partner with engineering to improve data quality, throughput, cost, and time-to-insight.