Jobs at Wayve

The Technical Program Manager drives portfolio projects, aligns cross-functionally with teams, manages product roadmaps, and maintains executive communication to deliver value and achieve growth goals.

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.

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.

As an Applied Scientist, you'll develop AI systems for autonomous driving, focusing on machine learning, simulation, and robotics innovations. Responsibilities include world modeling, reinforcement learning, spatial intelligence, and cross-embodiment robotics, collaborating within a research team to push advancements in embodied AI.

The Operational Safety Manager will ensure safe on-road testing and robotaxi operations, monitor safety performance, and conduct incident investigations while collaborating with engineering and safety teams to maintain safety standards.

Optimize large-scale ML training and inference workloads by profiling bottlenecks, implementing efficiency improvements (parallelism, mixed precision, compilation), building observability and benchmarking tools, and collaborating with research and platform teams to scale models and increase training throughput.

The Supply Chain Program Manager oversees end-to-end supply chain execution, ensuring compliance, managing risks, and coordinating across multiple teams for product builds and launches.

Design, develop, and execute automated tests for onboard embedded software across OS, middleware, sensors, and integration points. Validate behavior on embedded hardware and HiL setups, debug system-level issues, build reusable test frameworks, integrate tests into CI pipelines, and enable developer self-service testing to improve coverage and speed release cycles.

Lead technical strategy and execution for petabyte-scale data ingestion pipelines, normalising diverse sources for AI training. Design, optimise, and operate reliable, observable DAG-based pipelines, collaborate with robotics and ML teams, mentor engineers, and drive roadmap, hiring, and cross-functional alignment to meet SLAs.

The role involves refining algorithms for stability in autonomous vehicle platforms, troubleshooting system issues, and providing technical support for customer programs.

The role involves advising on commercial matters, drafting contracts, supporting strategic transactions, and building legal processes as Wayve scales globally.

The Principal Software Engineer - Robot Software leads architectural design, mentors engineers, and influences technical strategy for autonomous vehicle capabilities at Wayve.

The Technical Product Manager is responsible for defining and delivering L4 autonomous driving solutions, aligning with stakeholders and overseeing product development from concept to deployment.

Lead data-centric work for embodied AI: mine and curate fleet driving data, build large-scale enrichment and labeling pipelines, train and fine-tune foundation models, and design rigorous offline and closed-loop evaluation to improve safety and generalization across cities, vehicles, and sensor rigs.

Build, train, and fine-tune offline scene-understanding models adapted from on-vehicle and foundation models. Improve accuracy and generalisation across vehicles, geographies, and conditions. Exploit offline compute and temporal context, benchmark models with statistically defensible metrics for validation and safety, and lead cross-functional work while mentoring teammates.