Find Wayve Staff Software Engineer software engineering jobs

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

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 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

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. 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.

Wayve Staff Software Engineer Software Engineering Jobs

Find Wayve Staff Software Engineer software engineering jobs