As the Operational Safety Manager at Wayve, you'll establish a safety framework for operations in Germany, focusing on risk management, incident investigation, and compliance with safety regulations. Collaborating with global teams, you will also create training programs and foster a strong safety culture within the organization, directly influencing the deployment of advanced driving technologies.

The Digital Infrastructure Manager will manage and optimize IT systems and cloud platforms to support software development. Responsibilities include developing infrastructure strategy, ensuring security, collaborating with teams for seamless operations, and managing data centers and backup solutions using AI-driven tools.

The Strategic Partnership Manager at Wayve will negotiate and manage commercial agreements with global automakers and suppliers, oversee a diverse deal pipeline, perform financial analysis, and maintain cross-functional relationships. The role requires strong expertise in automotive partnerships and advanced technologies, while navigating complex negotiations and regulatory frameworks.

As a Video Processing Cloud Software Engineer, you'll enhance media processing capabilities for video and sensor data. You'll optimize distributed CPU and GPU cloud infrastructure, manage processing priorities, and collaborate with teams to deliver efficient solutions that ensure high availability of media data.

As a Fullstack Software Engineer at Wayve, you will enhance internal and external applications by developing core front-end infrastructure and improving security, scalability, and DevOps practices. You will collaborate with various teams to deliver high-quality features and set engineering standards across the organization.

Wayve is seeking to build a diverse team and encourages those interested in self-driving tech to register their interest for future job opportunities in Germany. The company specializes in Embodied AI technology for automated driving systems and aims to create a smarter future through inclusivity and innovation.

As a Principal Engineer at Wayve, you'll ensure software performance and efficiency, address technical challenges, execute engineering roadmaps, maintain high software engineering practices, and mentor tech leads. Your experience in managing large teams and complex systems delivery will drive innovation in autonomous driving solutions.

As a Technical Lead Engineer in Test at Wayve, you will establish test infrastructure for AI-driven autonomous vehicle systems, lead automated HiL testing, create sensor emulation frameworks, and mentor junior engineers to improve testing practices and software development life cycles.

As a Software Tech Lead for Wayve's Simulation Technology team, you will architect and enhance a simulation platform for autonomous driving. Responsibilities include shaping the technical roadmap, integrating simulation components, and ensuring high fidelity and scalability of simulations using classical and machine learning approaches.

The Principal Machine Learning Engineer at Wayve will lead the design and implementation of ML-based tools for scenario evaluation and validation of autonomous driving models. Responsibilities include developing robust ML models, architecting scalable systems for data synthesis, collaborating with cross-functional teams, and mentoring engineers.

As a Tech Lead for the ML Compiler team, you will guide the refinement and productization of AI models for autonomous driving features. You will lead a multidisciplinary team, deliver critical milestones for efficient inference on GPUs, and work closely with ML and software teams to optimize models for edge deployment.

The People Partner at Wayve will support US based Software leaders and managers, implement performance management systems, create diversity initiatives, uphold company values, manage onboarding processes, develop HR policies, and assist in talent acquisition.

As a Software Tech Lead at Wayve, you will lead the development of scalable, data-driven scenarios for self-driving vehicle validation. Your responsibilities include building cloud-based infrastructure, developing tools for data processing, and managing CI/CD pipelines. You will collaborate with cross-functional teams to ensure efficient scenario operations and optimize large-scale data handling.

The Global Supply Chain Manager will work closely with engineering teams to build supplier relationships and manage the supply chain for early-stage product development. Key responsibilities include negotiating pricing, managing costs, and ensuring product availability while adapting to technological changes and collaborating with internal and external stakeholders.

The role involves optimizing large scale training jobs, maximizing training throughput through performance optimization, profiling bottlenecks, and collaborating with research teams to enhance training efficiency. You will work on managing and improving GPU training infrastructure and software.

As an Applied Scientist at Wayve, you'll research and develop advanced AI solutions for autonomous driving, leveraging foundation models and reinforcement learning. You will work on algorithms, model architecture, and utilize extensive real-world data to enhance driving safety and efficiency, contributing to high-impact academic publications and collaborating within a diverse, cross-disciplinary team.

As a Software Engineer at Wayve, you will optimize C++ code for data transfer and resource management for AI inference on GPUs. You will ensure reliable performance by working with low-level system and memory management, utilizing GPU programming APIs, and collaborating with various teams to improve real-time processing in autonomous driving systems.

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 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.