or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 16 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 Controls Engineer at Wayve, you will focus on developing and enhancing vehicle trajectory and motion controllers that translate AI outputs into safe vehicle motion. Your daily tasks will include integrating and validating control algorithms, maintaining software architecture, and conducting testing in various scenarios. This role offers the opportunity to work on cutting-edge technology in the autonomous vehicle industry alongside a team of experts.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- 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 fundamentals in control theory, with depth in optimization, model-predictive control, numerical methods or dynamical systems
- Practical experience developing, tuning and validating control or motion systems on real world physical systems
- Strong software engineering skills, with experience building reliable production-quality systems in C++
- Experience with latency-sensitive or real-time software
- Ability to reason about and debug system-level behaviour in complex robotic systems across software and hardware
Nice to have
- Applied experience with model predictive control, trajectory optimization, motion planning etc.
- Direct experience with mobile robotics or autonomous vehicle systems
- Experience in the automotive industry, including ADAS or vehicle controls
- Experience with safety-critical systems, validation, and relevant industry standards (e.g. ISO 26262)
- Applied machine learning experience, or experience developing systems that integrate with ML components
What you get
- Hybrid working policy that combines time in the office and remote work
Worth weighing
- No salary listed
- Focus on real-time and latency-sensitive software may imply high-pressure development environment
- Experience with safety-critical systems is preferred, indicating a potentially complex regulatory environment
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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