or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 21 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 on the AI Libraries team at Wayve, you will design, build, and maintain scalable Python libraries and tools that support machine learning engineers and researchers. Your role will involve developing robust abstractions for various workflows, optimizing data and training pipelines, and improving the overall engineering quality of ML systems. You will collaborate closely with technical stakeholders to ensure the tools you create are reliable and user-friendly, contributing to the advancement of autonomous driving technology.
- 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 Python programming experience
- Proven experience designing, building, and maintaining software systems from concept through to delivery
- Strong software architecture and system design skills
- Experience building tools, platforms, or libraries for internal or external users
- Strong understanding of testing, observability, maintainability, and engineering best practices
- Experience working with cloud environments, ideally Azure
Nice to have
- Experience working with large GPU clusters or distributed training environments
- Familiarity with distributed training techniques such as DDP or FSDP
- Experience with observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry
- Experience with data pipeline orchestration tools such as Airflow, Flyte, Ray, Metaflow, or Argo Workflows
- Experience with containerisation and infrastructure tooling such as Docker, Kubernetes, or Terraform
Worth weighing
- The role is primarily focused on software engineering rather than ML modeling, which may not appeal to those looking to work directly on model development.
- Experience with Azure cloud environments is preferred, which may limit candidates with experience in other cloud platforms.
- The job requires a strong emphasis on building reliable software and infrastructure, which may not suit those looking for a more research-oriented position.
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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