Find Wayve Senior Software Engineer software engineering jobs

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