Find Wayve Senior Software Engineer software engineering jobs

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

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

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

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 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 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.

Wayve Senior Software Engineer Software Engineering Jobs

Find Wayve Senior Software Engineer software engineering jobs