As an Engineering Manager for Scenario Technology, you'll lead a team to develop simulation technologies for autonomous driving, focusing on scalability and AI solutions. You'll manage teams, drive technical discussions, and set KPIs to ensure project alignment and impact.

The Field Engineer diagnoses and resolves vehicle software and hardware issues to maintain fleet operations, requires rapid problem-solving and effective communication with global teams.

As a Data Analyst, you'll analyze Operational Design Domains and traffic behaviors to drive data acquisition for autonomous vehicle systems, collaborating with various teams.

As a Platform Engineer, ML Ops, you will build and manage the CI/CD pipeline for deploying AI models to autonomous vehicles, collaborating with other engineers and leading a team.

The Field Engineering Lead manages on-site vehicle software and hardware issue resolution, oversees field engineers, and ensures operational efficiency in fleet operations.

Lead the architecture and development of application-layer software for AI integration in automotive systems, collaborating with cross-functional teams to ensure compatibility and performance.

Lead hardware and software integration for automotive platforms, ensure software readiness for production, and collaborate across engineering teams.

Lead the development and implementation of machine learning models and robotics systems for autonomous vehicles, while mentoring junior engineers and optimizing model performance.

Lead the Embedded Platform and Sensors team, focusing on hardware/software integration, security, and team development for autonomous vehicle technology.

The Systems Integration Engineer will lead integration and bring-up of autonomous vehicle systems, troubleshoot issues, and improve performance and reliability through collaboration across disciplines.

Lead the GPU Kernel team, developing custom kernels for AI models on embedded GPUs, optimizing ML deployments for autonomous vehicles.

The Principal ML Engineer leads development of ML tools for autonomous vehicles, focusing on scenario generation, validation, and cross-functional collaboration to enhance driving model testing.

Oversee supply chain programs, ensuring material readiness and compliance while managing risks and coordinating with cross-functional teams.

Responsible for enhancing media processing capabilities, ensuring efficient ingestion, processing, and storage of video and sensor data, while optimizing cloud infrastructure for performance and reliability.

As a Staff Fullstack Software Engineer, you'll develop core front-end infrastructure, implement best practices, and collaborate on feature development for internal and external applications.

Lead a team to enhance software development and release systems, improve collaboration, and optimize efficiency for autonomous driving technology.

Lead the development of test infrastructure and practices for AI-driven autonomous vehicle systems, focusing on automation, mentorship, and continuous improvement.

Lead the Simulation Technology team, enhancing Wayve’s simulation platform by architecting improvements in robot emulator and visual fidelity, and scaling simulations effectively.

Lead the GPU Kernel team, develop GPU kernels, optimize ML models for deployment in autonomous vehicles, and manage project milestones.

Drive technical engagements with automotive OEMs, develop tailored pitches for ADAS solutions, and analyze market trends to align company strategies.