Triage Automation Engineer

Join Wayve as a Triage Automation Engineer, where you'll play a crucial role in scaling our Triage and Detectives workflow through process improvement, tooling, and automation. You'll collaborate with Triage Specialists and Detective Engineers to turn manual analysis into reliable automation, reducing manual load and speeding up issue resolution. This highly collaborative role has a direct impact on the safety and efficiency of Wayve's development pipeline.

• Collaborer avec les spécialistes du triage et les ingénieurs détectives pour transformer l'analyse manuelle répétée en automatisation fiable.
• Documenter et mesurer les flux de travail existants pour identifier les opportunités d'automatisation et d'amélioration des processus.
• Construire des pipelines d'automatisation, y compris des bots de triage et des classificateurs comportementaux, qui réduisent la charge manuelle.

• 3+ years of experience working with complex systems, ideally within robotics or autonomous vehicles
• Experience building or maintaining data pipelines or notebooks (e.g. Databricks, Jupyter)
• Great communication skills, able to explain complex technical problems to both technical and non-technical stakeholders
• Expertise using issue tracking and configuration management tools such as Jira, Confluence, and Bitbucket/GitLab
• Comfort with ambiguity — able to measure an existing workflow, identify where automation adds value, and scope a sensible solution
• Hands-on experience operating in a remote Linux environment
• Strong scripting and analytical skills (e.g. Python, SQL, Bash/Shell)
• We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply
• Experience with cloud services (ideally Microsoft Azure)
• Track record of promoting statistical rigour and experimental best practice
• Practical experience with machine learning or classification models (e.g. PyTorch)
• Passion for taking research ideas to production
• Experience with web development languages (e.g. HTML, CSS, React, Java) for building internal tooling
• Experience working in a fast-moving tech company or startup