or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 26 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 an Autonomous Driving Forensics Engineer at Wayve, you will investigate issues across the entire AV stack, collaborating with various teams to identify root causes and improve performance. Your responsibilities include data analysis, developing automated workflows, and conducting incident responses to enhance safety and operational efficiency. This role requires clear communication and a systems-thinking mindset to address complex challenges in autonomous vehicle technology.
- benefits
- 5/5
- 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
- 3+ years working with complex systems for robotics, autonomous vehicles, or comparable engineered systems
- Excellent critical thinking and problem-solving skills to identify and resolve complex issues within robotics and AI systems
- A systems-thinking mindset, comfortable investigating across the full stack, spanning hardware, software, and models
- Prior experience designing real-world experiments to prove or disprove hypotheses
- Great communication skills, able to explain complex technical problems to both technical and non-technical stakeholders
- Experienced with writing Python, particularly for data analysis; confident in writing scripts for a wide variety of analytic use cases, leveraging AI tools to work more efficiently
Nice to have
- Practical experience applying and evaluating machine learning models
- Experience working with safety-critical systems
- Experience in the automotive, robotics, or AI industries
- A track record of promoting statistical rigour and experimental best practices in your prior roles
- Experience working in a fast-moving tech company or startup.
What you get
- Competitive compensation and benefits
- A dynamic and fast-paced work environment
- Support for formal learning opportunities
- A culture that is ego-free, respectful and welcoming
- Onsite chef
- Workplace nursery scheme
Worth weighing
- No specific salary listed
- The role involves working with complex systems which may require a steep learning curve
- The position is hybrid, which may not suit everyone.
- The company is relatively small, which could mean less structure compared to larger firms.
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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