T1 Certified Autonomous Vehicle Driver

Company Overview:Terry Soot Management Group (TSMG) is a pioneering field data collection company established in 2017. With operations across Europe, North America, and Asia, we excel in gathering critical data in scenarios where automation falls short of human observation. Our dedicated teams are committed to delivering precise and adaptable data-driven ins…

Company Overview:Terry Soot Management Group (TSMG) stands at the forefront of field data collection, established in 2017 in Europe. We specialize in areas where automation cannot fully replace human insight, meticulously gathering data through direct observation and engagement. Our mission-driven teams work across Europe, North America, and Asia, providing invaluable actionable insights to our partners.Role Overview:Join our innovative team as a Bertha Certified Test Operator, tasked with enhancing our autonomous vehicle initiatives. The Bertha certification signifies an exceptional standard in real-world vehicle testing, system awareness, and public interaction—vital elements for collecting quality data and ensuring a secure autonomous vehicle experience.

Waymo is a pioneering company in the realm of autonomous driving technology, dedicated to becoming the world's most trusted driver. Evolving from the Google Self-Driving Car Project launched in 2009, Waymo has committed itself to developing the Waymo Driver—The World's Most Experienced Driver™—with the goal of enhancing mobility access and reducing the tragic loss of life due to traffic accidents. The Waymo Driver powers an entirely autonomous ride-hailing service and can be adapted to various vehicle platforms and applications. To date, it has successfully completed over ten million rider-only trips, backed by the experience of autonomously driving over 100 million miles on public roads and engaging in tens of billions of miles of simulation across more than 15 U.S. states.About the Role: The Vehicle Recovery, Safety & Logistics Manager is a vital operational leadership position tasked with ensuring the safe, efficient, and systematic management of vehicle recovery operations, market safety supervision, and logistical operations within a Waymo market. As Waymo expands its Waymo Owned & Operated (O&O) and Partner markets, this role guarantees that recovery protocols, safety standards, and vehicle logistics are executed consistently to uphold fleet availability, safeguard operational integrity, and emphasize Waymo's unwavering commitment to safety. Operating within Market Operations, this leader is the market's safety advocate, ensuring that vehicle recovery activities, incident response coordination, and operational logistics are managed with precision and aligned with Waymo’s Safety Management System (SMS) as well as regulatory requirements. This role also serves a crucial coordination function across partners, vendors, depot teams, and centralized operations to ensure prompt incident resolution, optimized vehicle movement, and minimized operational disruptions. The position demands strong operational judgment, safety leadership, and real-time coordination capabilities, enabling the market to maintain high service reliability while navigating the complexities of autonomous fleet operations.

Role Overview Waymo is hiring a Senior Program Manager for AV Compliance, specializing in international vehicle and driver regulations. This position is based in London, UK. What You Will Do Lead initiatives to ensure autonomous vehicles meet compliance standards in multiple countries. Work closely with engineers, legal teams, and government representatives to interpret and apply AV regulations. Help guide projects through complex regulatory environments and support safe autonomous transport. Collaboration This role involves frequent coordination with cross-functional teams and external stakeholders. Expect to engage with technical experts, legal advisors, and local authorities as part of daily work.

As a Field Engineer at Wayve, you will play a crucial role in the development and deployment of our cutting-edge autonomous vehicle technology. Your responsibilities will include conducting field tests, troubleshooting equipment, and collaborating closely with our engineering team to optimize performance.

At Wayve, we are dedicated to fostering a diverse, equitable, and respectful culture that welcomes individuals from all backgrounds, valuing their distinct skills and viewpoints, irrespective of sex, race, religion, ethnicity, disability, age, citizenship, marital status, sexual orientation, gender identity, veteran status, or any other characteristic protected by law.About UsFounded in 2017, Wayve stands at the forefront of Embodied AI technology development. Our cutting-edge AI software and foundational models empower vehicles to perceive, comprehend, and navigate complex environments, significantly enhancing the usability and safety of automated driving systems.We envision a future where autonomy drives global progress. Our intelligent, mapless, and hardware-agnostic AI solutions are crafted for automakers, propelling the shift from assisted to fully automated driving. In our dynamic environment, we thrive on tackling big challenges and embrace uncertainty to unlock innovative solutions. Our commitment to high standards and continuous learning fuels our mission to create a smarter, safer future.Your contributions at Wayve are valued. We prioritize diversity, welcome new perspectives, and cultivate an inclusive work atmosphere where we support each other in making an impact.Join Wayve and define your career experience!As a Data Scientist in the Experimentation and Product team, your primary focus will be generating robust, actionable insights that guide our product, data, and research teams in prioritizing current efforts and identifying future opportunities.Instead of relying on black-box models to optimize machine learning performance, you'll employ experimental and causal inference methods to deliver statistically sound and highly interpretable findings. This role presents a unique opportunity to lead data science methodologies in a complex and innovative area within autonomous vehicles (AV).Your responsibilities will include:Developing frameworks to effectively synthesize complex video and simulation data, facilitating analytics-driven strategies from individual product teams to the company level.Formulating and refining the performance metrics essential for measuring success in the evolving AV landscape.Introducing and implementing innovative experimental techniques aimed at improving the signal-to-noise ratio and expediting feedback cycles.

Waymo is at the forefront of autonomous driving technology, striving to become the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™. Our goal is to enhance mobility access while preventing the tragic loss of life caused by traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. To date, we've completed over ten million rider-only trips, with extensive experience driving autonomously over 100 million miles on public roads and conducting tens of billions of miles in simulation across more than 15 U.S. states.The Simulator team is responsible for creating cutting-edge simulations that mimic realistic environments to train and test the Waymo driver. Through advanced machine learning techniques, we model real-world scenarios, including realistic agents such as vehicles, pedestrians, cyclists, motorcyclists, and more, alongside roads, traffic systems, and weather conditions. By leveraging large foundation models, trained on our vast datasets, we can rapidly set up and deploy diverse scenarios to challenge our driver.We are excited to establish a team in London, UK, to collaborate with our colleagues in Mountain View and Oxford on enhancing these foundational models and integrating them into various training and evaluation tools. We seek enthusiastic research engineers eager to tackle these groundbreaking challenges.In this hybrid role, you will report directly to an Engineering Director.

Join Waymo as a Group Product Manager in London and lead innovative product strategies that shape the future of autonomous driving technology. In this pivotal role, you will oversee a team of product managers, driving the vision, development, and execution of our product roadmap. Collaborate closely with engineering, design, and user experience teams to enhance our offerings and ensure alignment with customer needs.

At Wayve, we are dedicated to fostering a diverse, equitable, and respectful culture where individuals are valued for their unique skills and perspectives, irrespective of gender, race, religion, ethnicity, disability, age, citizenship status, marital or partnership status, sexual orientation, gender identity, veteran status, pregnancy, or any other classification protected by applicable law.About UsFounded in 2017, Wayve is at the forefront of Embodied AI technology development. Our cutting-edge AI software and foundational models empower vehicles to understand, perceive, and navigate complex environments, significantly enhancing the safety and usability of autonomous driving systems.Our mission is to create autonomy that drives progress. Our intelligent, mapless, and hardware-agnostic AI solutions are tailored for automakers, facilitating a seamless transition from assisted to fully automated driving. In our dynamic environment, we tackle significant challenges head-on, embracing uncertainty to uncover innovative solutions. We set high goals while maintaining humility in our pursuit of excellence, continuously learning and evolving towards a smarter, safer future.Your contributions at Wayve will make a difference. We celebrate diversity, welcome new perspectives, and nurture an inclusive workplace; we support one another to create impactful results.Join Wayve and let it be the defining experience of your career!The RoleWe are seeking a Robotaxi Technical Operations Specialist to join our Technical Operations team, serving as a vital link between Science, Product, Engineering, and Operations. This position is perfect for individuals who thrive in fast-paced, high-growth settings and possess a proven ability to translate complex technical strategies into effective field operations.You will spearhead essential testing and demonstration programs across our global operations, which include roadshow campaigns, customer-specific initiatives, and on-road validation activities. Collaborating across teams, you will ensure systematic feedback loops between field operations and development teams. This role is crucial in our journey from a research-focused organization to a world-class, commercially viable autonomous vehicle entity that delivers seamlessly for our customers and partners.Key Responsibilities:Technical and Operations Enablement: Transform technical strategies into operational excellence.

Join Wayve as the Robotaxi Safety Program Lead and be at the forefront of transforming urban mobility. In this pivotal role, you will spearhead the development and implementation of safety protocols for our innovative robotaxi technology, ensuring the highest levels of safety and compliance in our operations. Collaborate with a talented team of engineers and safety experts to identify potential hazards and design effective risk mitigation strategies. Your work will directly impact the future of autonomous transportation, making it safer and more reliable for everyone.

Role Overview Waymo LLC is looking for a Director of Engineering to serve as the London Site Lead. This leadership role calls for a seasoned engineering manager to guide local teams and shape the direction of engineering efforts in London. The position involves overseeing day-to-day operations, supporting team growth, and ensuring projects move forward successfully. What You Will Do Lead and mentor a team of engineers and technical staff from varied backgrounds. Set direction for strategic initiatives that improve engineering processes and outcomes. Work with teams across functions to coordinate goals and deliver on shared objectives. Establish and maintain effective practices in both software and hardware engineering. Promote an inclusive, collaborative, and forward-thinking engineering culture. Location This position is based in London, England, United Kingdom.

Join Fuse Energy, a dynamic startup in the renewable energy sector, dedicated to providing a terawatt of clean energy with speed and efficiency. Supported by $100 million from top-tier investors such as Multicoin, Balderton, Lakestar, and Accel, we are on a transformative journey to create a fully integrated energy company that encompasses renewable generation, energy trading, and distributed energy installations.As we expand our operations, we are seeking talented Electric Vehicle Charger Installers to play a crucial role in installing and commissioning electric vehicle charging stations at both residential and commercial locations. This is an exciting opportunity for electricians eager to specialize in EV infrastructure and contribute actively to the shift towards electric transportation.

Waymo LLC seeks a System Disruption Manager in London to oversee disruptions that may impact autonomous vehicle operations. The position centers on maintaining both safety and efficiency, with a strong emphasis on resolving issues quickly to keep services running smoothly. Key responsibilities Monitor autonomous vehicle systems for potential disruptions that could affect service delivery. Work closely with internal teams to coordinate timely responses and resolve operational issues as they occur. Implement solutions that restore and maintain operations, always prioritizing safety and reliability. Requirements Strong analytical skills for assessing and addressing system disruptions. Proactive problem-solving approach, especially in high-activity or high-stakes situations. Experience managing incidents or disruptions in technology-driven settings is considered an advantage.

At Wayve, we are dedicated to fostering a diverse, fair, and respectful workplace culture that values the unique skills and perspectives of every individual, irrespective of sex, race, religion, belief, ethnic or national origin, disability, age, citizenship, marital status, domestic partnership, sexual orientation, gender identity, veteran status, pregnancy or related conditions (including breastfeeding), or any other basis protected by applicable law.About UsEstablished in 2017, Wayve is at the forefront of developing Embodied AI technology. Our cutting-edge AI software and foundational models empower vehicles to perceive, interpret, and navigate complex environments, significantly improving the usability and safety of automated driving systems.Our mission is to create autonomous solutions that drive the world forward. Our intelligent, mapless, and hardware-agnostic AI products cater to automakers, facilitating the shift from assisted to fully automated driving.We thrive on the challenges posed by a fast-paced environment—embracing uncertainty and tackling complex problems to unlock innovative solutions. We hold ourselves to high standards while remaining humble in our pursuit of excellence, constantly evolving to pave the way for a smarter, safer future.Your contributions at Wayve will truly make a difference. We celebrate diversity, embrace new ideas, and cultivate an inclusive work environment where we support each other to make an impact.Join us at Wayve and let your career take flight!The RoleAs a Senior Site Reliability Engineer in Vehicle Software, you will ensure the reliability, observability, and safety of Wayve’s autonomous driving fleet while operating on public roads. You will collaborate at the intersection of software, hardware, and operations, transforming real-world incidents and performance bottlenecks into sustainable engineering enhancements. This role provides a clear connection between your work and the delivery of safer deployments, accelerated iterations, and expanded fleet capabilities.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originally initiated as the Google Self-Driving Car Project in 2009, our team has been relentlessly working to enhance mobility access and save lives by developing the Waymo Driver—The World’s Most Experienced Driver™. With over ten million successful rider-only trips facilitated by our technology, which has driven over 100 million miles on public roads and tens of billions of miles in simulations across more than 15 U.S. states, we are shaping the future of transportation.The Simulation ML Infrastructure team is responsible for creating scalable AI/ML infrastructure that propels our Simulator team towards innovative, state-of-the-art simulations of realistic environments for the Waymo Driver's training and testing. By leveraging large foundation models trained on extensive datasets, we enhance the authenticity and control of our simulations, including realistic representations of vehicles, pedestrians, cyclists, roads, traffic control systems, and weather conditions.We are currently seeking a highly skilled Senior Machine Learning Infrastructure Engineer to spearhead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models tailored for ML accelerator-friendly simulations. Your extensive knowledge in massive model scaling, ML accelerators, and distributed training will be vital in designing and optimizing our systems.

Wayve Technologies is seeking a talented Application Software Engineer to join our innovative team. This role involves designing, developing, and maintaining advanced software applications that drive our cutting-edge technology in the field of autonomous vehicles. Candidates must be passionate about cutting-edge technology and eager to contribute to transformative solutions.

About Us: At Octopus Electric Vehicles, we are passionate about transforming the future of mobility through electric car leasing.Our Mission: To create a greener and fairer future for all.We are on the lookout for a dynamic Customer Success Executive to join our newly formed Scheme Delivery team in London. This innovative team is dedicated to ensuring that our B2B clients have seamless and efficient management of their leasing schemes. In this role, you will be responsible for overseeing the daily operational activities associated with employer schemes. Your focus will be on organization, rapid issue resolution, and delivering a hassle-free experience for our clients at Octopus EV!

Waymo is a pioneering company in the field of autonomous driving technology, dedicated to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, Waymo has concentrated on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver supports our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, complemented by tens of billions of miles in simulation across 15+ U.S. states, our experience is unparalleled.The Simulator team is at the forefront of creating cutting-edge simulations of real-world environments for the training and assessment of the Waymo Driver. We leverage machine learning to accurately model the real world, incorporating realistic agents (vehicles, pedestrians, cyclists, motorcyclists, etc.), road systems, traffic controls, and weather conditions. To enhance the precision and flexibility of our simulations, we utilize large foundation models trained on extensive datasets, enabling rapid setup and deployment of multiple scenarios for our driver.Our London-based team collaborates closely with our colleagues in Mountain View and Oxford to develop and enhance these foundation models and integrate them into various evaluation and training products. We are seeking talented research engineers eager to tackle these innovative challenges.In this hybrid role, you will report directly to an Engineering Manager.

Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world’s most trusted driver. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has been at the forefront of innovation, developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility while significantly reducing the number of lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips completed, fueled by our experience of autonomously driving over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states, we are transforming transportation.The Driver Understanding and Evaluation (DUE) team at Waymo is focused on creating comprehensive metrics to evaluate the Waymo Driver’s behavior in real-world scenarios. We are developing advanced technologies such as context and scene analysis to enhance our driving understanding, as well as augmenting real-world driving data to generate rare driving events. This includes building large-scale data infrastructures and improving components like agents and realistic simulators, which are pivotal for our technical strategies and methodologies in assessing the Waymo Driver's performance.The DUE Machine Learning team will develop and maintain scalable machine learning systems and simulation workflows, enhancing evaluation processes and developer onboarding experiences. By merging expert human insights with cutting-edge machine learning models, we will provide training and evaluation data across hundreds of metrics and components that define the Waymo Driver. We are seeking passionate researchers and software engineers eager to harness machine learning techniques to elevate the evaluation systems within our autonomous vehicles, driven by a relentless pursuit of performance improvement.This position reports to the Engineering Manager.

Join Allye Energy as a Senior Hardware Engineer specializing in electric vehicle (EV) charging solutions. In this pivotal role, you will leverage your expertise to design, develop, and enhance innovative hardware systems that power the future of electric mobility. Your contributions will directly impact the transition to sustainable transportation.Key responsibilities include collaborating with cross-functional teams, conducting rigorous testing and validation of hardware components, and driving continuous improvements in product design. As a leader in the field, you will have the opportunity to mentor junior engineers and influence the technology roadmap.