or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 17 days Wayve's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- No 40% of Wayve's roles list one
- Ghost-job risk at Wayve
- high 77 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
- 2026-09-17
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 Software Engineer for the Data Flywheel Platform at Wayve, you will build and scale systems that transform world-scale driving data into high-quality training data for AI models. Your responsibilities include developing data curation pipelines, evaluation infrastructure for foundation models, and optimizing training and serving systems. You will work closely with Applied Scientists and ML Engineers to ensure that the platform supports the entire company's model deployment efforts.
- benefits
- 1/5
- freshness
- 4/5
- 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
- Strong production software engineering skills, especially in production Python
- Experience with large-scale data and distributed systems
- Systems design for scale with strong SQL skills
- A track record of shipping and operating production systems
- Strong CS fundamentals and several years of production experience (roughly 6 or more)
- Seniority to match the level, capable of driving ambiguous, cross-team problems to completion
Nice to have
- Experience with ML platform / MLOps
- Exposure to foundation models, world models, or ML evaluation
- Familiarity with embedding and vector search, annotation tooling, or feature and data catalogs
- Knowledge of Kubernetes and modern data/lakehouse stacks
- Experience in autonomous driving, robotics, or large-scale sensor-data workflows
Worth weighing
- No salary listed
- High-leverage, high-visibility work with a clear path to deep system ownership
- Role involves significant collaboration with scientists and engineers
- Expectations for seniority and experience may be high, especially for TC4 level
Summarised from Wayve's posting. Read the full original.
Listed by Wayve on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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