Leading developer of Embodied AI technology creating autonomous driving systems with advanced AI software and foundation models.

Wayve, founded in 2017, is at the forefront of Embodied AI technology development, focusing on creating advanced autonomous driving systems. As an Infrastructure Developer in the Internal Development team, you'll play a crucial role in building and developing internal tools and processes for test management, reporting, and Hardware-in-the-Loop (HIL) infrastructure.

The position requires a seasoned professional with extensive experience in CI/CD pipeline development, test infrastructure, and automotive systems. You'll be responsible for developing and maintaining critical testing frameworks, integrating third-party tools, and creating comprehensive dashboard solutions. The role combines deep technical expertise with automotive industry knowledge.

Working at Wayve means joining a company that values diversity, embraces complex challenges, and aims to create autonomy that propels the world forward. Their intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

The ideal candidate will bring 10-15 years of infrastructure development experience, along with significant expertise in HIL systems and dashboard development. You'll work closely with DevOps and IT teams, contributing to a mission-critical role that helps shape the future of autonomous driving technology.

Wayve offers an inclusive work environment where contributions matter and diverse perspectives are valued. They're looking for someone who can embrace uncertainty, stay humble in pursuit of excellence, and is ready to make a significant impact in the autonomous driving industry.

Senior Infrastructure Developer role at Wayve, focusing on CI/CD, test automation, and HIL systems for autonomous driving technology.

Infrastructure Developer: Internal Development

Leading developer of Embodied AI technology for autonomous vehicles, founded in 2017.

Wayve, founded in 2017, is at the forefront of autonomous vehicle technology through their innovative Embodied AI approach. As a Data Platform Software Engineer, you'll be integral to their mission of creating next-generation autonomous vehicles. The role focuses on building and maintaining the crucial data infrastructure that powers their self-driving algorithms.

You'll join a dynamic team responsible for managing the entire data lifecycle - from ingestion and labelling to storage and analysis. This position offers a unique opportunity to work with cutting-edge technology, processing thousands of hours of driving data using advanced GPU infrastructure. You'll collaborate across multiple teams, including ML researchers, simulation engineers, and robotics experts.

The ideal candidate brings strong software engineering experience, particularly in Python and distributed systems. You'll need expertise in building reliable data pipelines and working with cloud infrastructure. This role is perfect for someone who's passionate about autonomous driving and wants to make a significant impact in a growing startup environment.

Wayve offers an attractive combination of technical challenges and company culture. Their hybrid working model balances office collaboration with flexible remote work. The company provides comprehensive benefits, including private health insurance, onsite amenities, and strong emphasis on personal development. Located in London, you'll be part of a diverse, inclusive team working to revolutionize the future of transportation.

Senior Data Platform Software Engineer role at Wayve, building infrastructure for autonomous vehicle data processing and analysis.

Data Platform Software Engineer

Founded in 2017, Wayve is at the forefront of autonomous vehicle technology as the leading developer of Embodied AI. Their mission is to create autonomy that propels the world forward through intelligent, mapless, and hardware-agnostic AI products designed for automakers.

As an Embedded Software Engineer in the Map and Routing team, you'll be instrumental in developing embedded map and routing services for Wayve's autonomous vehicles. This role combines cutting-edge autonomous vehicle technology with critical embedded systems development, requiring expertise in C++ or Rust programming and real-time systems.

The position offers a unique opportunity to work on fundamental components of autonomous vehicle technology, collaborating with cross-functional teams including Science, Embodied AI, and Evaluation & Validation. You'll be responsible for designing and implementing embedded map and routing services, ensuring seamless integration with onboard systems, and developing consistent APIs for both onboard and offboard use cases.

The ideal candidate brings 5+ years of embedded software engineering experience, strong programming skills in C++ or Rust, and experience with map data and routing services. You'll thrive in this role if you're passionate about autonomous vehicles, have excellent communication skills, and enjoy working in a collaborative, innovative environment.

At Wayve, they embrace diversity, foster an inclusive culture, and value unique perspectives. The company offers a supportive environment where your contributions directly impact the future of autonomous driving technology. This is an opportunity to join a forward-thinking company that's tackling complex challenges in the autonomous vehicle space while maintaining a commitment to excellence and continuous learning.

Senior Embedded Software Engineer role at Wayve, focusing on autonomous vehicle map and routing systems development using C++ and Rust.

Embedded Software Engineer

Founded in 2017, Wayve is at the forefront of autonomous vehicle technology as the leading developer of Embodied AI technology. Their mission is to create autonomy that propels the world forward through intelligent, mapless, and hardware-agnostic AI products designed for automakers.

As a Microservices Software Engineer in the Map and Routing team, you'll be instrumental in designing and implementing cloud-based microservices that power map and routing services for both onboard and offboard use cases. This role offers a unique opportunity to work at the intersection of cloud computing and autonomous vehicle technology, where you'll collaborate closely with embedded systems teams to ensure seamless integration between vehicle systems and cloud infrastructure.

The position requires expertise in cloud-based microservices, Kubernetes, and programming languages like Python, C++, or Rust. You'll be responsible for creating robust APIs, managing deployments in Azure, and working with mapping and GIS technologies. The ideal candidate brings at least 3 years of relevant experience and strong cross-functional collaboration skills.

Wayve offers an inclusive and diverse work environment where contributions matter and big problems are embraced. They value different perspectives and foster a culture of continuous learning and evolution. This role presents an exceptional opportunity to shape the future of autonomous driving technology while working with cutting-edge cloud and mapping systems. If you're passionate about self-driving cars and want to make a meaningful impact, this position offers the perfect platform to define your career while contributing to a smarter, safer future of transportation.

Microservices Software Engineer role at Wayve, developing cloud-based mapping and routing services for autonomous vehicles using Python, Kubernetes, and Azure.

Microservices Software Engineer

Leading developer of Embodied AI technology creating autonomous driving systems using advanced AI software and foundation models.

Wayve, founded in 2017, is at the forefront of autonomous driving technology, developing Embodied AI solutions that are revolutionizing the automotive industry. As a Machine Learning Engineer in our Embodied AI division, you'll play a crucial role in scaling end-to-end neural networks for autonomous driving. The position offers a unique opportunity to work with cutting-edge technology while contributing to the future of transportation.

The role combines technical leadership with hands-on development of machine learning models and robotics systems. You'll be working in a collaborative environment, contributing to company-wide programs and mentoring junior engineers. The position requires expertise in deep learning, computer vision, and software engineering, with a focus on practical implementation and optimization of ML models.

Wayve offers an inclusive, dynamic work environment with substantial benefits, including an onsite chef, health insurance, and flexible working arrangements. The company culture emphasizes continuous learning, innovation, and work-life balance. Based in London, you'll be part of a mission-driven organization that values diversity and encourages personal growth.

This is an excellent opportunity for experienced ML engineers who want to make a significant impact in autonomous driving technology while working with a team of bright minds in a supportive and innovative environment. The role offers both technical challenges and leadership opportunities, making it ideal for those looking to advance their careers in AI and autonomous systems.

Senior Machine Learning Engineer role at Wayve, developing AI solutions for autonomous driving, requiring 7+ years of experience in ML and software engineering.

Machine Learning Engineer

Wayve, founded in 2017, is at the forefront of autonomous vehicle technology as the leading developer of Embodied AI technology. Our mission is to create autonomy that propels the world forward through advanced AI software and foundation models that enable vehicles to perceive, understand, and navigate complex environments.

We're seeking a Senior Build & Release Engineer to join our innovative team in Sunnyvale. This role is crucial in optimizing our build systems and ensuring efficient development workflows. You'll be responsible for enhancing our build pipeline, maintaining tools and frameworks, and implementing systems that ensure fast and reproducible builds across the company.

The ideal candidate brings 5+ years of experience in DevOps or similar roles, with strong expertise in build systems (preferably Bazel), CI/CD systems, and Infrastructure-as-Code. Python proficiency is required, and experience with cloud platforms (especially Azure), Docker, and Kubernetes is highly valued.

We offer a hybrid working environment that combines office time for innovation and collaboration with the flexibility of remote work. At Wayve, we embrace diversity and foster an inclusive culture where every team member's unique perspective contributes to our success. We tackle big problems with humility and determination, constantly learning and evolving as we work towards a smarter, safer future of autonomous driving.

Join us in shaping the future of autonomous vehicles and make Wayve the defining experience of your career!

Senior Build & Release Engineer position at Wayve, focusing on optimizing build systems and CI/CD pipelines for autonomous vehicle technology development.

Build & Release Engineer

Leading developer of Embodied AI technology for autonomous vehicles

Wayve, founded in 2017, is at the forefront of Embodied AI technology for autonomous vehicles. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, enhancing the safety and usability of automated driving systems. We're seeking skilled engineers to join our Machine Learning Platform team, focusing on optimizing large-scale training jobs as we scale our models. 

The role involves maximizing the MFU of large-scale training jobs, profiling and identifying bottlenecks in training code, implementing GPU kernels to improve training throughput, and working closely with Research teams. You'll also own and improve our GPU training clusters.

The ideal candidate should have 5+ years of experience in performance optimization or ML engineering, experience in optimizing large-scale training jobs on GPU compute clusters, and working with platform and research teams. Strong Python coding skills and a BS or MS in a relevant technical discipline are essential.

At Wayve, we value diversity and foster an inclusive work environment. We operate a hybrid working policy, combining office time to fuel innovation and culture with the flexibility of working from home. Join us in creating autonomy that propels the world forward and make Wayve the defining experience of your career!

Senior Machine Learning Platform Engineer optimizing large-scale AI training for autonomous vehicles

Senior Machine Learning Platform Engineer

Wayve, founded in 2017, is at the forefront of Embodied AI technology for autonomous vehicles. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, enhancing the safety and usability of automated driving systems. As a Principal ML Engineer on the Scenario Technology and Coverage team, you'll lead the design and implementation of scalable ML-based tools that enhance our scenario pipeline—from data mining and scenario generation to simulation-based evaluation. Your work will be critical in ensuring our driving models are thoroughly tested and optimized across diverse and realistic conditions. You'll lead the development of robust ML models, architect scalable systems for data mining and synthesis, collaborate with cross-functional teams, drive innovation in scenario coverage, own end-to-end technical solutions, address infrastructure gaps, guide the team through complex challenges, and mentor engineers across teams. We offer a chance to shape the future of autonomous driving, competitive compensation, comprehensive benefits, a dynamic work environment, and a respectful, inclusive culture. Join us in our mission to create autonomy that propels the world forward!

Principal ML Engineer leading scenario technology for autonomous vehicles at Wayve

Principal ML Engineer - Scenario Technology and Coverage

Wayve, founded in 2017, is at the forefront of Embodied AI technology for autonomous vehicles. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, enhancing the safety and usability of automated driving systems. We're seeking a Site Reliability Engineer (SRE) to join our innovative team in London. As an SRE, you'll play a crucial role in ensuring the robustness and reliability of our AI-driven autonomous vehicles. You'll be responsible for elevating operational excellence, innovating and automating processes, developing key metrics and monitoring systems, and spearheading the adoption of cutting-edge tools and technologies. This role offers a unique opportunity to make a significant impact on urban mobility and be part of an industry transformation. We value diversity, embrace new perspectives, and foster an inclusive work environment. At Wayve, your contributions matter as we work towards creating autonomy that propels the world forward. Join us in our mission to revolutionize the automotive industry and shape the future of transportation.

Site Reliability Engineer for AI-driven autonomous vehicles at Wayve

Site Reliability Engineer (SRE)

Leading developer of Embodied AI technology for autonomous driving systems.

Wayve, founded in 2017, is at the forefront of Embodied AI technology for autonomous driving. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, enhancing automated driving systems' usability and safety. As a Software Engineer Technical Lead for the Simulation Technology team, you'll be responsible for evolving a core component of Wayve's simulation platform. This platform is crucial for developing and evaluating Wayve's driving intelligence, requiring both high realism and descriptiveness. You'll shape and implement the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling. Working closely with robotics, research, platform, and data teams, you'll ensure the simulation platform provides accurate, scalable, and high-signal simulations. Key responsibilities include owning KPIs for simulator realism, reproducibility, and cost, leading technical discussions, integrating simulated robot components and machine-learned graphics subsystems, and implementing production-quality software in C++ and Python. The ideal candidate has domain experience in simulation, robotics, or modern machine learned graphics techniques, strong development skills in Python and C++, and a good understanding of systems and data-oriented software engineering design. This full-time role, based in Sunnyvale, offers a hybrid working policy, combining office time for innovation and culture with the flexibility of working from home.

Software Engineer Technical Lead for Wayve's Simulation Technology team, developing advanced AI for autonomous driving systems.

Software Engineer Technical Lead - Simulation Technology

Wayve is the leading developer of Embodied AI technology, creating advanced AI software and foundation models to enable vehicles to perceive, understand, and navigate complex environments for enhanced automated driving systems.

At Wayve, we're developing advanced AI software and foundation models to enable vehicles to perceive, understand, and navigate complex environments, enhancing the usability and safety of automated driving systems. As a Software Engineer Technical Lead for the Simulation Technology team, you'll be responsible for evolving a core component of Wayve's simulation platform, which is crucial for developing and evaluating our driving intelligence.

Your role will involve:
- Owning key performance indicators (KPIs) for simulator realism, reproducibility, and cost
- Leading cross-company technical discussions and guiding technical direction
- Integrating simulated robot components and machine-learned graphics subsystems into the simulation platform
- Implementing production-quality software in C++ and Python

We're looking for someone with:
- Domain experience in simulation, motion planning, localization, controls, modern machine learned graphics techniques, or other areas of robotics
- Strong development skills in Python and C++, including modern C++ (11, 14, 17, 20)
- A good sense of systems and data-oriented software engineering design
- Understanding of common software performance issues and design tradeoffs
- 5+ years of industry experience designing and programming software
- Excellent communication and people engagement skills

Desirable skills include experience with autonomous vehicles, simulating vehicle dynamics and sensors, implementing machine learned graphics techniques, rigid body simulation, large-scale ML inference systems, and cloud infrastructure.

At Wayve, we embrace complex challenges and aim to create autonomy that propels the world forward. Join us in shaping the future of automated driving technology!

Join Wayve as a Software Engineer Tech Lead in Simulation, developing AI-driven autonomous vehicle technology.

Software Engineer Tech Lead, Simulation

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.

Wayve, founded in 2017, is at the forefront of Embodied AI technology for autonomous driving. As a Principal Engineer for the Software Platform, you'll play a crucial role in shaping the future of automated driving systems. You'll work on cutting-edge AI software and foundation models that enable vehicles to navigate complex environments safely and efficiently.

Your responsibilities will include ensuring end-to-end software performance, anticipating technical roadblocks, contributing to engineering roadmaps, and making critical technical decisions. You'll be a key player in setting high standards for software engineering practices and mentoring tech leads and managers across the organization.

To excel in this role, you should have experience leading large teams of 20+ software engineers, a deep understanding of system software from hardware to distributed systems, and a track record of designing and implementing software for complex systems. You'll also need experience in delivering and supporting production-level complex systems and communicating with senior stakeholders.

Wayve offers a dynamic, fast-paced work environment where you'll grow every day, learning from the brightest minds in the autonomous driving space. You'll enjoy competitive compensation, comprehensive benefits, and a culture that values diversity, respect, and collaboration. This is a hybrid role based in Sunnyvale, California, offering flexibility to work both from the office and home.

Join Wayve and be part of a mission-driven organization that's working to create autonomy that propels the world forward. Your contributions will have a significant impact on shaping the future of transportation and advancing the field of AI-driven autonomous vehicles.

Principal Engineer, Software Platform at Wayve: Lead software development for autonomous driving systems, ensuring performance and efficiency in AI and robotics applications.

Principal Engineer, Software Platform

Wayve is the leading developer of Embodied AI technology, creating advanced AI software and foundation models for autonomous vehicles.

Wayve, founded in 2017, is at the forefront of Embodied AI technology for autonomous vehicles. We're seeking a Machine Learning Performance Engineer to join our Machine Learning Platform team, focusing on optimizing large-scale training jobs as we scale our models. 

Key responsibilities include:
- Maximizing the MFU of large-scale training jobs
- Profiling and identifying bottlenecks in training code
- Implementing GPU kernels to improve training throughput
- Collaborating with Research teams to integrate and test efficiency improvements
- Managing and enhancing our GPU training clusters

The ideal candidate will have:
- 5+ years of experience in performance optimization or ML engineering
- Expertise in optimizing large-scale training jobs on GPU compute clusters
- Experience working in platform teams and with research teams
- Proficiency in benchmarking and reporting performance metrics
- Strong Python coding skills
- BS or MS in Machine Learning, Computer Science, Engineering, or related field

Desirable skills include experience with concurrent and distributed computing, Nvidia NSight Systems, GPU kernel implementation, and a deep understanding of computing fundamentals.

At Wayve, we value diversity and inclusivity. We offer a hybrid working model, combining office time for innovation and collaboration with the flexibility of working from home. Join us in creating autonomy that propels the world forward!

Wayve seeks a Machine Learning Performance Engineer to optimize large-scale AI training for autonomous vehicles.

Machine Learning Performance Engineer

Founded in 2017, Wayve is the leading developer of Embodied AI technology for advanced AI software and foundation models that enable vehicles to perceive, understand, and navigate complex environments.

Wayve, founded in 2017, is at the forefront of Embodied AI technology development. Our mission is to create autonomy that propels the world forward, focusing on advanced AI software and foundation models that enhance vehicle perception, understanding, and navigation in complex environments. We're seeking an Infrastructure Engineer to join our world-class team in London, UK.

As an Infrastructure Engineer at Wayve, you'll play a crucial role in designing and implementing new infrastructure and networking solutions, supporting existing systems, ensuring cybersecurity compliance, and driving initiatives to optimize costs and efficiency. This position requires a strong background in DevOps, with at least 5 years of professional experience in a fast-paced, rapidly scaling environment.

Key responsibilities include supporting infrastructure projects, maintaining both cloud-based and on-premises systems, establishing Infrastructure as Code best practices, and contributing to the company's geographical expansion. The ideal candidate will have expertise in Linux systems, networking concepts, shell scripting, and IT security practices.

We're looking for someone with strong problem-solving skills, the ability to handle complex projects independently, and experience with business-grade network solutions. Knowledge of Docker, Kubernetes, and cloud computing environments is a plus.

At Wayve, we value diversity and foster an inclusive work environment. We offer a hybrid working model, combining office time for innovation and collaboration with the flexibility of working from home. Join us in tackling today's most complex challenges and shaping the future of autonomous driving technology.

If you're passionate about self-driving cars and want to make a positive impact on the world, we encourage you to apply. This is an opportunity to be part of a company that's pushing the boundaries of AI and autonomous systems, working alongside talented professionals in a dynamic and innovative environment.

Join Wayve as an Infrastructure Engineer, designing and implementing advanced networking solutions for autonomous driving technology.

Wayve Engineering Jobs

Leading developer of Embodied AI technology creating autonomous driving systems with advanced AI software and foundation models.