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About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment,…
Wayve is hiring a Technical Program Manager in Sunnyvale (hybrid) to lead complex, multi-team engineering programs across AI, software, robotics, infrastructure, evaluation, and data. The role focuses on driving delivery, managing risk, streamlining workflows, and keeping stakeholders aligned in support of Wayve's autonomous driving AI products.
Build and run a B2B SaaS portal that connects Wayve’s AI autonomy platform to automaker partners, shipping backend services, APIs, and UIs while owning production reliability and customer experience.
Build and refine data pipelines and evaluation frameworks for autonomous-driving foundation models, curating rare driving events and measuring model progress to scale safe, generalizable AI for vehicles.
Analyzes real-world autonomous vehicle data to identify and resolve safety issues, collaborating with engineering teams to improve ADAS+ systems using proprietary tools.
Own end-to-end supply chain for autonomous-vehicle programs, coordinating suppliers, logistics, and cross-functional teams to meet hardware build timelines and quality standards.
Integrates AI-driven autonomous vehicle hardware and software, troubleshooting complex systems and shaping integration processes for deployment.
Designs and maintains scalable data pipelines to process autonomous driving datasets for machine learning models, using Python, PySpark, and Airflow in a hybrid office setting.
Develop and run automated tests for embedded software in autonomous-vehicle systems, ensuring reliability on Linux/QNX-based platforms and hardware-in-the-loop rigs.
Senior ML engineer optimizes PyTorch models for edge deployment, iterating from training to production-ready releases under tight latency and memory constraints for autonomous-vehicle systems.
Principal Engineer defining the embedded software architecture for Wayve’s autonomous-vehicle AI platform, integrating NVIDIA/Qualcomm compute with OS, middleware, and safety-critical code in C/C++.
Design and implement embedded security controls for autonomous vehicle software, including firmware and Linux systems, while collaborating with teams to ensure robust, hardware-agnostic security across fleets.
Build and maintain C++ software for autonomous-vehicle sensor systems, integrating cameras, LiDAR, and radar to stream data and run edge ML inference across a large fleet of cars.
Own and lead a key AI Driver work package for Wayve’s autonomous-vehicle software, coordinating engineers, researchers, and PMs to ship AI-powered driving features from strategy to delivery.
Own end-to-end supply chain for Wayve’s autonomous-vehicle programmes, coordinating suppliers, logistics, and cross-functional teams to meet hardware build and launch timelines.
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