or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Wayve's roles stay open a median of 76 days
- Reposted
- No
- Salary listed
- No 40% of Wayve's roles list one
- Ghost-job risk at Wayve
- high 165 stale, 1 reposted of 169 open
- Hiring momentum
- 201 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Wayve's own greenhouse board since 2026-08-03. Full hiring picture for Wayve.
About this role
As a Data Engineer at Wayve, you will design and deliver scalable data pipelines that transform large datasets into structured formats suitable for model-based autonomous driving. Your role involves data ingestion, quality assurance, and collaboration with Machine Learning engineers to enhance the performance and reliability of data systems. You will work in a hybrid environment, balancing time between the office and remote work, while contributing to innovative solutions in the field of autonomous driving.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Wayve as an employer.
What you need
- Proven experience building and operating scalable data pipelines or distributed data processing systems in production environments.
- Strong software engineering skills in Python, with a solid foundation in maintainable, reliable, and well-tested software development practices.
- Proficient in SQL and PySpark, with experience using warehouse/OLAP concepts, window functions, and Spark for distributed data processing.
- Experience with modern data pipeline architectures, including workflow orchestration and DAG-based systems such as Airflow, Flyte, Ray, or similar.
- Solid understanding of robotics and automated driving data concepts, including sensor characteristics, timestamping and clock synchronisation, coordinate transformations, calibration, and ego-motion signals such as GNSS/IMU and vehicle odometry.
- Understanding of machine learning development workflows, including training data generation, evaluation datasets, scenario mining, and model iteration.
Nice to have
- Prior work in calibration, perception, imitation learning, or trajectory prediction.
- Experience with third-party dataset ingestion and transformation.
- Familiarity with automated driving data and scenario taxonomies, including ODD definitions, manoeuvre and behavior labels, scene classification, event tagging, semantic understanding.
What you get
- Hybrid working policy that combines time in the office and remote work.
- Core working hours to determine a flexible schedule.
Worth weighing
- No salary listed.
- The role requires collaboration with interdisciplinary teams, which may involve navigating different perspectives and expertise.
- The job involves working with complex data systems related to autonomous driving, which may require a steep learning curve for those unfamiliar with the domain.
Summarised from Wayve's posting. Read the full original.
Listed by Wayve on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
More roles at Wayve
- Field EngineerJapan
- Legal Counsel (Commercial)Sunnyvale
- Vehicle Safety OperatorJapan
- Systems Engineer, AI ValidationSunnyvale
- Staff Machine Learning Engineer, AV CoreSunnyvale
- Lead Technical Program Manager, DataSunnyvale
- Vehicle Safety OperatorGermany
- Engineering Manager, Runtime Platform, Robot SoftwareLondon