Search the 23 jobs at Wayve

The System Verification Software Engineer will develop verification infrastructure for autonomous driving systems, focusing on automated Hardware-in-the-Loop testing and ensuring software quality through CI/CD pipelines and validation strategies. They will collaborate with cross-functional teams and drive improvements in verification processes.

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.

This role involves driving Wayve's commercial partnership strategy with a focus on data partners. Responsibilities include developing relationships, managing partnerships, exploring commercialization opportunities, educating internal teams, maintaining communication, and collaborating across teams to solve complex challenges in the Embodied AI space.

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 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.

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 the Inference Optimization Manager, you will lead a team in refining AI models for autonomous driving, oversee optimization frameworks, facilitate collaboration across teams, establish performance benchmarks, promote innovation, manage resources, and develop talent within the team.

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 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.

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 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.

The Lead Applied Scientist will focus on designing and optimizing ultra-efficient foundation models for autonomous systems and embodied AI. Responsibilities include developing techniques such as reinforcement learning and collaborating with researchers to advance autonomous vehicle technologies. The role involves working on powerful models and improving their adaptability and efficiency for real-world applications.

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.

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 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.

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.

The Inference Optimization Manager will lead a team focused on optimizing AI models for autonomous vehicles. Responsibilities include developing optimization frameworks, collaborating with cross-functional teams, benchmarking model performance, fostering innovation, managing resources effectively, and mentoring team members.

As the Engineering Manager for Robot Software, you will lead a team to develop and integrate software solutions for autonomous vehicles, focusing on sensor data processing, system diagnostics, and real-time application delivery on Linux platforms. You will also oversee team management, software project execution, and resource allocation to achieve strategic goals.

The System Test Engineer at Wayve will define and execute verification tests for Embodied AI systems, enhancing hardware and software testing by identifying bugs and ensuring robust system performance. This involves architecting Hardware in the Loop test stations and performing root cause analysis on issues discovered during testing.

As a Software Engineer in the Data Platform team at Wayve, you will develop the data infrastructure and tools necessary for creating autonomous vehicle features. Your work will focus on data ingestion, labelling, storage, and analysis while collaborating with machine learning and robotics engineers.