The Safety Ops Manager will oversee facility and equipment safety operations, manage risk assessments, and coordinate disaster response across Woven City, fostering a strong safety culture.

Conduct cutting-edge research on multi-modal foundation models and generative AI for real-world applications, focusing on vision and language integration. Collaborate with teams to develop and evaluate innovative technologies.

Drive Unity-based application development, ensuring quality and integration of technologies, while planning testing strategies and managing code integrity.

Define and implement key management strategies for PKI systems, ensuring performance and security; manage projects and collaborate with vendors.

The LLMOps Engineer will develop and maintain AI Agent systems, enhancing workflows, infrastructure, and CI/CD pipelines, while ensuring high security and performance standards.

The Senior Software Engineer will build data pipelines, work on distributed systems, mentor junior engineers, and innovate solutions in self-driving technologies.

The Assistant Manager will oversee logistics operations, implement services, manage projects, and engage with stakeholders to improve Woven City logistics.

Develop and deploy React-based web applications for data visualization in autonomous driving, collaborating with teams and mentoring junior engineers.

Lead and mentor a team of engineers to develop and maintain data infrastructure for autonomous driving. Interface with stakeholders and ensure engineering excellence in a distributed environment.

Lead UX strategy for ADAS products, creating a multi-year vision, collaborating with teams to prioritize features, and guiding UX strategists to enhance user experiences.

The Japan Payroll Manager will oversee payroll processes, lead a team, ensure compliance with laws, and improve efficiency in a high-growth environment.

The role involves developing data pipelines and distributed systems to support ML applications for autonomous vehicles while collaborating across teams.

Develop and integrate features for the ADAS vehicle platform, working with software systems, hardware, and sensors in a collaborative environment.

The Cloud Engineering Manager will lead a team focusing on developing and optimizing Machine Learning models and training environments, ensuring efficient GPU resource management and collaboration across teams.

Lead the development of geospatial cloud services and vehicle clients for AD/ADAS technology, managing software architecture and product delivery milestones.

Design and maintain large-scale cloud infrastructure for data accessibility and reliability in autonomous driving technologies. Collaborate on engineering projects and mentor juniors.

The Legal Associate supports R&D with legal advice, reviews contracts, negotiates agreements, and resolves disputes. Proficient in English and Japanese required.

The Legal Counsel will manage contracting for the US and UK, providing legal advice, drafting, and negotiating agreements to support the business goals while ensuring compliance with legal standards.

As a Senior Software Engineer, you'll design and implement components integrating map data for autonomous driving systems, ensuring safety and performance while mentoring team members.

Design and develop advanced machine learning models for autonomous vehicles, deploy ML models, ensure safety standards, and collaborate with cross-functional teams.