As a Data Engineer, you'll design and implement scalable data pipelines to support model-based autonomous driving, ensuring high-quality, model-ready datasets.
Wayve jobs
Wayve is a leader in automated driving, utilizing advanced Embodied AI technology.
121 open roles at Wayve
As a Machine Learning Engineer, you'll lead initiatives in model-based autonomous driving, focusing on performance, personalization, and collaboration while collaborating across teams to ensure production readiness.
Lead the development of an offline 3D reconstruction capability that builds high-quality 3D world geometry from vehicle sensor data in dynamic scenes.
As an Application Software Engineer, you will be responsible for the bring-up and validation of AI software on customer hardware platforms, ensuring seamless performance across various systems.
Seeking an experienced Solution Architect to integrate Wayve's autonomous driving technology with automotive OEM platforms, ensuring seamless software and vehicle system interactions.
As a Machine Learning Engineer focused on ADAS, you'll enhance vehicle perception through computer vision and 3D models, driving improvements in automated driving systems.
As a Machine Learning Engineer focused on ADAS, you'll enhance vehicle perception by training and improving computer vision and 3D models, driving impactful advancements in automated driving systems.
As an Autonomous Driving Data Specialist, you'll ensure the safety and reliability of ADAS+ vehicle systems through root cause analysis and collaboration with engineering teams.
As an SRE in Vehicle Software, you will ensure the reliability and safety of Wayve's autonomous driving fleet while enhancing system performance and operational efficiency.
Staff Machine Learning Engineer, Vision Models
As a Staff Machine Learning Engineer, you will develop and refine computer vision models to measure the performance of Wayve's autonomous driving technology, ensuring accuracy and generalization across various conditions.
This role focuses on enhancing the performance of foundation models through intelligent data curation, enrichment, and evaluation in the context of autonomous driving.
As an Engineering Technician, you will build, test, and maintain vehicles and Hardware-in-the-Loop setups, while diagnosing and repairing hardware system failures.
As Principal Engineer for Data & Compute, you will architect and evolve foundational compute and storage systems to enhance AI model development and deployment at Wayve.
Embedded Automotive Platforms Software Engineer
Contribute to the development of a software platform that interfaces with automotive embedded hardware, enhancing the efficiency and scalability of autonomous vehicle systems.
Director of Platform Management for Simulation, Evaluation & Validation
Lead the product vision and strategy for platforms that develop, evaluate, and validate the AI Driver, ensuring a unified approach to simulation and validation processes.
As an ADAS Feature Engineer, you will develop C++ application-layer software that integrates AI capabilities with real vehicle behavior, enhancing automated driving systems.
As an ADAS Feature Engineer, you will develop application-layer software that integrates AI capabilities with vehicle behavior, focusing on safety and performance in real-world environments.
As a Systems Engineer in AI Validation, you will develop and implement validation strategies for the Wayve AI Driver, ensuring successful integration across autonomy products.
In this high-impact technical leadership role, you will define the architecture for Remote Assistance, connecting vehicle telemetry with real-time human support while ensuring safety and reliability.
As a Tech Lead for Autonomy Performance, you will drive the performance measurement framework and lead cross-functional teams to ensure the Robotaxi product meets high standards for public readiness.
Lead the new Application Engineering team to develop and localize autonomous driving technology for the US market, ensuring high performance and safety standards.
Lead the new Application Engineering team to localize and advance autonomous driving technology for the US market, shaping AV capabilities from the ground up.
Lead the integration and bring-up of cutting-edge autonomous vehicle platforms, working across hardware and software to prototype, assemble, and test complex systems.
As a Machine Learning Engineer, you'll lead initiatives in model-based autonomous driving, focusing on performance, personalization, and collaboration while collaborating across teams.
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