Software Engineer, Wayve

• Minimum of 4 years experience in a similar field
• Proficiency in Python
• Knowledge of software engineering practices - what makes code reusable and extensible
• Experience working with concurrent, parallel and distributed computing
• Passion for infrastructure: building internal tooling and frameworks
• Experience with cloud infrastructure, preferably Azure
• Experience with Docker, Kubernetes and Terraform

Desirable

• We are looking for a Software Engineer to help build the Wayve Machine Learning platform
• The ML Platform team owns the machine learning training infrastructure and works with users to ensure that this infrastructure is reliable and efficiently utilised
• You will be part of a growing group focussed on making training infrastructure available to users, for distributed training of large models
• You will be working across functions with machine learning research engineers to optimise models so that they can be trained efficiently, saving both money and researcher time
• You will have opportunities to develop new skills, especially in model optimisation
• Examples Projects:
• Training job scheduling and orchestration e.g. tooling to schedule long running jobs at off-peak times
• Tooling which provides thousands of GPUs simultaneously to our driving simulator, which we use to test the driving performance of our models off road
• Working with machine learning researchers to optimise ML models, using the latest tooling like NVIDIA NSight