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Full-Time

Software Engineer

ML Platform

Confirmed live in the last 24 hours

Wayve

Wayve

201-500 employees

Develops AI software for autonomous vehicles

AI & Machine Learning
Robotics & Automation

Entry

London, UK

Category
Backend Engineering
Software QA & Testing
Software Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
Tensorflow
Docker
Terraform
Requirements
  • Proficiency in Python
  • Knowledge of software engineering practices
  • Experience working with concurrent, parallel and distributed computing
  • Passion for infrastructure
  • Experience with cloud infrastructure, preferably Azure
  • Experience with Docker, Kubernetes and Terraform
  • Experience profiling and optimizing ML models
  • Experience working with at least one ML framework, e.g., Pytorch, Tensorflow, ONNX, and TensorRT
Responsibilities
  • Designing, deploying, and maintaining infrastructure and software
  • Optimizing training workloads for machine learning training
  • Building the Wayve Machine Learning platform
  • Working with machine learning researchers to optimize ML models
  • Training job scheduling and orchestration
  • Providing tooling for driving simulator testing

Wayve is pioneering AV2.0, an embodied AI software that enables self-driving vehicles to learn from experience and drive in any environment without detailed maps or programmed rules. Their technology uses machine learning to develop autonomous systems, partnering with fleet operators to bring scalable AV solutions to logistics and delivery services.

Company Stage

Series C

Total Funding

$1.3B

Headquarters

London, United Kingdom

Founded

2017

Growth & Insights
Headcount

6 month growth

29%

1 year growth

37%

2 year growth

78%