About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The roleAs a software engineer for Wayve’s Simulation Technology team, you will be an expert software engineer who evolves a core component of Wayve’s simulation platform, which is used to develop and evaluate Wayve’s driving intelligence. Wayve’s approach to autonomous driving presents unique challenges for simulation. Our end to end driving stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale.You will be responsible for shaping and implementing the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling. You will be working closely with our robotics, research, platform and data teams, as well as the rest of the Simulation Technology team to ensure that our simulation platform meets the needs of our end-users by providing accurate, scalable, and high-signal simulations.Challenges you will ownOwn key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc.Work cross-company on aligning technical dependencies for simulator implementationLead technical discussions and guide technical direction Effectively integrate the components of the simulated robot into the simulation platformEffectively integrate machine-learned graphics subsystems into the simulation platformImplement production quality software in PythonAbout youEssential Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applicationsExcellent development skills in PythonDeep knowledge of Kubernetes at the user levelGood sense of systems and data oriented software engineering design - what makes code reusable and extensibleUnderstanding of common software performance issues and design tradeoffs5+ years of industry experience designing and programming softwareExcellent communication and people engagement skillsDesirable Experience in the field of autonomous vehicles or roboticsProficiency with other programming languages like go or C++Experience scaling simulations or data intensive workloadsExperience with design, implementation, and optimization of large-scale machine learning inference systems running in cloud GPU environmentsExperience operating and scaling modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI)This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. #LI-FH1Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Senior Software Engineer - Cloud Technologies in London employer: Wayve
Wayve is an exceptional employer that fosters a dynamic and innovative work culture, where software engineers can thrive while contributing to cutting-edge AI solutions. With a strong emphasis on employee growth, Wayve offers opportunities for professional development and collaboration in a hybrid work environment, allowing for flexibility and work-life balance. Located in a vibrant tech hub, employees benefit from a supportive community and access to industry-leading resources.
