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Software Engineer (Data Platform)

Established in 2017, Wayve is a leader in autonomous vehicle technology, driven by breakthroughs in Embodied AI.
Data
Mid-Level Software Engineer
Hybrid
51 - 100 Employees
3+ years of experience
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Description For Software Engineer (Data Platform)

Wayve, established in 2017, is a leader in autonomous vehicle technology driven by breakthroughs in Embodied AI. Our intelligent, mapless, and hardware-agnostic technologies empower vehicles to navigate complex environments effortlessly. Supported by prominent investors, we're advancing the transition from assisted to fully automated driving, making transportation safer, more efficient, and universally accessible.

As a Software Engineer in our Data Platform team, you'll be at the heart of Wayve's data-driven approach to developing next-generation autonomous vehicles. You'll work on building the Wayve data platform, facilitating data ingestion, labelling, storage, curation, and analysis of our driving data. This role offers an exciting opportunity to directly influence the performance of self-driving algorithms.

Key responsibilities include:

  • Quality control and validation of datasets
  • Labelling, enrichment, and augmentation of data at scale using thousands of GPUs
  • Orchestration of data processing and machine learning workloads
  • Building infrastructure for running Flyte and notebook environments at scale

We're looking for candidates with:

  • Proficiency in Python
  • Knowledge of software engineering practices
  • Experience working with concurrent, parallel, and distributed computing
  • Passion for building internal tooling and frameworks
  • Experience with cloud infrastructure (preferably Azure)
  • Experience with data processing technologies like Databricks, Apache Spark, Apache Beam, Airflow, or Flyte

Join our world-class, multinational team of engineers and researchers as we push the boundaries of frontier AI and autonomous driving, creating impactful technologies and products on a global scale. At Wayve, you'll have the chance to shape the future of autonomous driving in a dynamic, fast-paced environment where you'll grow every day.

We offer competitive compensation and benefits, including an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, and large social budgets. We operate a hybrid working policy, combining time in our London office with remote work flexibility.

Last updated a year ago

Responsibilities For Software Engineer (Data Platform)

  • Quality control and validation of datasets
  • Labelling, enrichment and augmentation of data at scale using thousands of GPUs simultaneously
  • Orchestration of data processing and machine learning workloads
  • Building infrastructure for running Flyte and notebook environments at scale

Requirements For Software Engineer (Data Platform)

Python
  • Proficiency in Python
  • Knowledge of software engineering practices
  • Experience working with concurrent, parallel and distributed computing
  • Passion for infrastructure: building internal tooling and frameworks
  • Experience building reliable data pipelines to handle large data sets
  • Experience with cloud infrastructure, preferably Azure
  • Experience working with data processing technologies such as Databricks / Apache Spark, Apache Beam, Airflow or Flyte

Benefits For Software Engineer (Data Platform)

Medical Insurance
  • Competitive compensation
  • Private health insurance
  • Workplace nursery scheme
  • Cycle scheme
  • Therapy
  • Yoga
  • Onsite chef
  • Two onsite bars
  • Large social budgets