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The Machine Learning Engineer will develop ML models for autonomous vehicles in Japan, collaborating on integration, evaluation, and adapting technology to local challenges.

Lead and manage customer programs in automotive software development, ensuring project plans are executed, risks are identified, and customer needs are met.

Lead the architecture of the Wayve Portal platform, ensuring scalability and compliance while collaborating with external teams to deliver robust solutions.

Lead a development team to prevent collision scenarios in autonomous vehicles, focusing on safety-critical systems through innovative algorithm and validation strategies.

Develop and optimize C++ software for efficient AI inference on GPUs, focusing on data transfer and resource management for autonomous driving systems.

Lead the strategic direction for GPU kernel development, optimize machine learning models for deployment on edge, and mentor a team of engineers.

Lead the GPU kernel development team at Wayve, focusing on deploying ML models efficiently onto autonomous vehicles, while mentoring engineers.

The role involves building AI-native driving intelligence, overseeing data curation, evaluation, and optimization, to enhance model performance in autonomous driving.

As a Senior Software Engineer for Wayve's Simulation Technology team, you will develop high-fidelity simulation platforms, integrating machine learning and robotics techniques. Responsibilities include shaping the technical roadmap, ensuring simulator realism, and leading technical discussions.

The Applied Scientist will design and optimize reinforcement learning and reward models for autonomous driving, collaborating with teams and utilizing real and synthetic data.