The OEM Pre-Sales Engineer will engage with automotive OEMs and industry stakeholders, promoting ADAS and autonomous driving solutions, coordinating with commercial and engineering teams, and conducting market analysis to enhance Wayve's value proposition and ensure alignment with client expectations.

The Engineering Manager for Scenario Technology at Wayve will lead a multi-disciplinary team focused on building technology and workflows for scalable simulation scenarios in autonomous driving. Responsibilities include roadmap planning, promoting software engineering best practices, and ensuring team growth while collaborating with stakeholders.

The Customer Program Manager at Wayve leads programs with OEM customers from early development to production, collaborating with teams to integrate customer requirements into the development pipeline, manage risks, and ensure project delivery. This role emphasizes strong program management in automotive software, technical expertise, and effective communication.

The Software Engineer will develop and maintain the machine learning platform infrastructure, optimize models for efficient training, and work collaboratively to enhance usability. Responsibilities include managing distributed training for large models and improving performance via internal tools.

You will ensure software performance and efficiency while working on embedded and distributed infrastructure for machine learning and robotics. Your role includes anticipating technical issues, contributing to engineering roadmaps, upholding high software engineering standards, and mentoring tech leads. You will have the opportunity to make significant contributions to autonomous driving technologies.

As a Customer Program Manager, you will lead and oversee programs with OEM customers in automotive software development. Collaborating with teams to manage project plans, integrate customer requirements into development pipelines, and address technical needs are key responsibilities. Your role includes risk management, change management, and ensuring effective communication between customers and internal teams.

The Technical Program Manager role at Wayve involves overseeing the development and delivery of software programs related to AV2.0 Driver technology. Responsibilities include end-to-end project management, collaborating with technical teams, managing project timelines and deliverables, and fostering a culture of continuous improvement.

The role involves designing and optimizing reinforcement learning and reward models for autonomous driving, integrating real and synthetic data, and collaborating with multidisciplinary teams to evaluate models in diverse driving scenarios.

The Tech Lead Manager at Wayve will manage a small team while contributing technically to the development of algorithms and machine learning solutions for autonomous driving. Responsibilities include overseeing research projects, integrating tools, and ensuring the practical application of machine learning models in real-world scenarios.

As the Technical Lead of the Performance Optimisation Team at Wayve, you will develop software tools and strategies to optimize performance for onboard systems in autonomous vehicles. You will mentor junior engineers, manage performance analysis initiatives, and oversee the architecture of scalable software solutions to ensure reliable AI inferencing under strict constraints.

As the Technical Lead for the Onboard Experience Team, you will guide the development of software solutions for autonomous vehicle operators, oversee architectural decisions, ensure system reliability and scalability, and foster collaboration across teams. Hands-on testing in vehicles is expected to refine software based on user feedback.

The Vehicle Safety Operator at Wayve is responsible for conducting on-road experiments, monitoring artificial intelligence systems, and providing feedback to the research and development teams. This role involves ensuring safety during testing, evaluating AI performance, and maintaining communication with engineers while adhering to high safety standards.

The Vehicle Performance Modelling Engineer will develop and validate vehicle dynamics models, ensuring simulations accurately reflect real-world performance. Responsibilities include creating virtual vehicle models, validating them with data, and optimizing them for integration into software. Collaboration with various teams to enhance vehicle performance metrics is also key.

As a Senior Applied Scientist at Wayve, you will leverage your expertise in AI and robotics to develop advanced models for autonomous driving. Your responsibilities include conducting research in reinforcement learning and deep learning, working with real-world driving data, and contributing to academic publications.

As a Video Processing Cloud Software Engineer at Wayve, you will expand media processing capabilities, manage cloud infrastructure for efficient video processing, and collaborate with teams to optimize performance and handle large volumes of media data.

As a Fullstack Software Engineer, you will develop products that visualize self-driving performance, working closely with users and teams to ensure robust web applications. You'll focus on designing scalable 2D and 3D visualizations, maintaining data-streaming solutions, and collaborating with UX researchers to enhance user experience.

As a People Operations Associate at Wayve, you will be responsible for managing employee experiences from onboarding to offboarding, handling inquiries, benefits administration, and continuous improvement of HR processes. This role requires strong communication, organizational skills, and a commitment to fostering a positive work environment.

As a Site Reliability Engineer, you'll enhance operational excellence for autonomous vehicles, develop tools for automation, monitor systems for performance, and spearhead the adoption of innovative technologies to improve efficiency in urban mobility.

The Engineering Manager will lead the development of autonomous vehicle capabilities, ensuring production-level quality and fostering team growth. Responsibilities include guiding ML development, resource management, process improvement, and maintaining engineering best practices while driving innovation and strategic initiatives.

As the Engineering Manager for Autonomous Driving Forensics, you will lead a cross-functional team to identify and resolve performance issues in autonomous vehicles, applying your robotics and AI expertise. Your role involves designing experiments, analyzing data, and communicating findings to enhance AV systems.