Senior Software Engineer, Data and Orchestration

Highlights

• Evolve the data platform behind embodied intelligence for real vehicles.
• Rebuild orchestration to handle next-generation fleet data volumes.
• Support high-priority data runs powering evaluations and safer autonomy.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

Ideal candidate

A collaborative engineer who thrives with real ownership in ambiguous, fast-moving environments and cares about reliable platforms that move real vehicles safely. You enjoy partnering closely with users to turn needs into simple, scalable solutions.

Requirements

• Strong software engineering fundamentals and solid Python programming skills, with experience designing, building and maintaining production-grade systems
• Experience building or operating DAG-based workflow orchestration and data pipeline systems, using tools such as Airflow, Dagster or Flyte
• Experience with distributed computing frameworks such as Ray or Spark
• Experience working with systems at scale, ideally involving distributed systems, large data volumes or high-throughput processing
• Experience deploying and operating production workloads on Kubernetes, including troubleshooting issues and managing resources for reliable, scalable data-processing services
• Familiarity with distributed event streaming platforms such as Apache Kafka
• Strong understanding of database principles and consistency models—including eventual and strong consistency in distributed systems—with practical familiarity with relational databases and data warehouses such as Postgres and ClickHouse
• Strong collaboration skills, with the ability to work closely with platform users and partner teams to translate requirements into scalable technical solutions