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

As a Software Engineer Technical Lead for Wayve's Simulation Technology team, you will be an expert software architect who evolves a core component of Wayve's simulation platform, used to develop and evaluate Wayve's driving intelligence. Wayve's approach to autonomous driving presents unique challenges for simulation, requiring a simulator that is both highly realistic and highly descriptive. Our approach brings together 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. Working closely with robotics, research, platform, and data teams, you'll ensure that our simulation platform meets end-user needs by providing accurate, scalable, and high-signal simulations.

Key responsibilities include:
- Owning KPIs for simulator realism, reproducibility, and/or 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 candidates with:
- Domain experience in simulation, motion planning, localization, controls, modern machine learned graphics techniques, or other robotics areas
- Strong development skills in Python and C++, including modern C++
- Solid understanding of systems and data-oriented software engineering design
- Knowledge 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, sensor simulation, rigid body simulation, large-scale ML inference systems, and cloud infrastructure.

This is a full-time role based in our Mountain View office, with a hybrid working policy that combines office time and remote work. Join us in creating autonomy that propels the world forward!

Lead the development of Wayve's advanced simulation platform for autonomous driving, integrating AI and classical techniques to create realistic, scalable simulations.

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.

Infrastructure Engineer

Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI.

Wayve, established in 2017, is a leader in autonomous vehicle technology driven by breakthroughs in Embodied AI. We're seeking an experienced Machine Learning Engineer to join our dynamic team in London. In this role, you'll collaborate closely with our research team to develop, integrate, test, and scale cutting-edge algorithms, tools, and machine learning solutions for autonomous driving.

Key responsibilities include:
- Designing and implementing end-to-end neural networks for autonomous driving applications
- Rapidly prototyping and iterating on novel machine learning models
- Optimizing models for efficiency and performance in real-world scenarios
- Developing and maintaining robust machine learning infrastructure
- Evaluating emerging technologies and methodologies
- Leveraging analytical approaches for qualitative and quantitative insights
- Maintaining high-quality training data through advanced visualization and analysis
- Collaborating with cross-functional teams to integrate ML solutions

Requirements:
- 3+ years of postgraduate industry experience training and deploying large-scale models
- Strong foundation in machine learning and deep learning
- Advanced knowledge of model compression, quantisation, distillation, parallelism, and pruning techniques
- Strong programming skills in Python, with experience in deep learning frameworks like PyTorch
- Excellent teamwork and communication skills

We offer:
- Opportunity to shape the future of autonomous driving
- Competitive compensation and benefits
- Dynamic work environment with continuous learning opportunities
- Ego-free, respectful culture with daily team lunches
- Benefits including onsite chef, workplace nursery scheme, private health insurance, and more
- Hybrid working policy combining office and remote work

Join Wayve to push the boundaries of frontier AI and autonomous driving, creating impactful technologies on a global scale.

Senior Machine Learning Engineer role at Wayve, developing cutting-edge AI solutions for autonomous driving in London.

Senior Machine Learning Engineer

Leading developer of Embodied AI technology, creating advanced AI software and foundation models for autonomous driving.

Founded in 2017, Wayve is the leading developer of Embodied AI technology for autonomous driving. We're seeking a Principal Machine Learning Engineer to join our Embodied AI division, working on modelling, robotics, data, and detectives teams to deliver an Autonomous Driving product.

In this role, you'll lead at least one company-wide program, develop and implement machine learning models and robotics systems, collaborate with cross-functional teams on strategy, and contribute to the growth and mentorship of junior engineers. You'll be responsible for enhancing our Autonomous Vehicle stack, troubleshooting and optimizing machine learning models, and fostering a culture of collaboration and innovation.

Key responsibilities include:
- Technical leadership of company-wide programs
- Developing ML models and robotics systems for autonomous driving
- Collaborating on company strategy and roadmap
- Mentoring junior engineers
- Optimizing resource allocation
- Fostering a collaborative and innovative culture
- Evaluating project decisions and analyzing risks
- Troubleshooting and optimizing ML models and systems

Requirements:
- 7+ years of software and machine learning engineering experience
- Strong insight into practical aspects of deep learning
- Passion for impactful research
- Good grasp of machine learning literature
- Experience with large quantities of image and video data
- BSc or higher in ML, CS, Engineering, or related field

Desirable skills:
- Strong software engineering in Python, C++, CUDA
- Experience in computer vision, robotics, simulation, graphics, or large language models
- MS or higher in relevant field

Wayve offers a dynamic work environment, competitive compensation, and benefits such as an onsite chef, workplace nursery scheme, private health insurance, and more. We operate a hybrid working policy, combining office time with remote work. Join us in shaping the future of autonomous driving!

Principal Machine Learning Engineer at Wayve, leading AI development for autonomous driving in London.

Principal Machine Learning Engineer

Wayve, established in 2017, is a leader in autonomous vehicle technology driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. Supported by prominent investors, we're advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible.

As a Staff Machine Learning Engineer in our Vancouver office, you'll lead engineering efforts within our Science team. You'll collaborate closely with our research team to develop, integrate, test, and scale cutting-edge algorithms, tools, and machine learning solutions for autonomous driving. Your work will directly enhance the efficacy and efficiency of our models and iteration speed, bringing innovative research ideas to life faster than ever before.

You'll tackle some of the world's hardest problems in new ways, working on:
- Designing and implementing end-to-end neural networks for autonomous driving
- Rapidly prototyping and iterating on novel machine learning models
- Optimizing models for efficiency and performance in real-world scenarios
- Developing robust ML tools and infrastructure to accelerate R&D
- Building metrics and dashboards for progress insights
- Evaluating emerging technologies to drive innovation
- Ensuring high-quality training data through advanced visualization and analysis
- Collaborating with cross-functional teams to integrate ML solutions

Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale.

Join Wayve as a Staff Machine Learning Engineer in Vancouver to lead engineering efforts in autonomous vehicle technology, developing cutting-edge AI solutions.

Staff Machine Learning Engineer

Wayve, established in 2017, is a leader in autonomous vehicle technology driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. Supported by prominent investors, we're advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible.

As a Principal Engineer for our Software Platform, you'll have a significant impact:

- Ensure end-to-end software performance and efficiency, working between embedded and distributed infrastructure, and machine learning and robotics use cases.
- Anticipate technical roadblocks, including feasibility, schedule delays, and complex interdependencies.
- Contribute to the definition and execution of engineering roadmaps.
- Make tough technical decisions balancing velocity, serviceability, and sustainability.
- Set and maintain high software engineering practices in design, coding, and testing.
- Mentor tech leads and managers across the software engineering organization.

We're looking for someone with:
- Experience as a tech lead for teams or projects spanning 20+ software engineers.
- Deep understanding of system software, from hardware level to distributed systems.
- Experience in designing and implementing software for complex systems.
- Experience delivering complex systems into production and supporting them post-production.
- Experience communicating with senior stakeholders, including executives.

At Wayve, we offer:
- The chance to shape the future of autonomous driving in a mission-driven organization.
- Competitive compensation and benefits.
- A dynamic work environment where you'll grow every day, learning from the brightest minds in our space.
- An ego-free, respectful culture with perks like an onsite chef, workplace nursery scheme, private health insurance, and more.
- A hybrid working policy combining office time and remote work.

Join our world-class, multinational team as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale.

Principal Engineer, Software Platform at Wayve - Lead autonomous vehicle technology development with Embodied AI in London.

Wayve Engineering Jobs

Leading developer of Embodied AI technology for autonomous vehicles