Data Platform Software Engineer

Leading developer of Embodied AI technology for autonomous vehicles, founded in 2017.
Data
Senior Software Engineer
Hybrid
5+ years of experience
AI · Automotive

Description For Data Platform Software Engineer

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.

Last updated a month ago

Responsibilities For Data Platform Software Engineer

  • Build the Wayve data platform for data ingestion, labelling, storage, curation and analysis
  • Quality control and validation of datasets
  • Labelling, enrichment and augmentation of data at scale using GPUs
  • Orchestration of data processing and machine learning workloads
  • Work across functions with ML research engineers, simulation engineers, and robotics engineers

Requirements For Data Platform Software Engineer

Python
Kubernetes
  • 5+ years professional experience in Software Engineering or Data Engineering
  • Proficiency in Python
  • Knowledge of software engineering practices
  • Experience working with concurrent, parallel and distributed computing
  • Experience building reliable data pipelines
  • Experience with cloud infrastructure, preferably Azure
  • Experience with data processing technologies (Databricks/Apache Spark, Apache Beam, Airflow or Flyte)
  • Experience with Docker, Kubernetes and Terraform (desirable)

Benefits For Data Platform Software Engineer

Medical Insurance
  • Competitive compensation and benefits
  • Dynamic and fast-paced work environment
  • Learning opportunities from industry experts
  • Onsite chef
  • Workplace nursery scheme
  • Private health insurance
  • Cycle scheme
  • Therapy
  • Yoga
  • Two onsite bars
  • Large social budgets
  • Hybrid working policy

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