Senior Software Engineer, Reliability Engineer
Wayve · Leonberg, Germany
Roboticsonsitesenior
At a glance
Highlights
- Ensure reliability of systems supporting autonomous vehicle operations.
- Monitor live fleet health to catch issues before operations are affected.
- Build automation to detect issues faster and turn pain points into lasting fixes.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity, sharing in ownership and long-term success
- Relocation support and visa sponsorship where applicable
- Hybrid working with core hours and hands-on work in vehicle workshops and labs
- Learning and development budgets with support for training, conferences and growth
- Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement/pension, wellbeing support and team socials
Ideal candidate
Collaborative, detail-oriented engineer who thrives debugging complex distributed systems and owning reliability end to end. Energized by keeping real autonomous vehicles operating safely and shaping processes in a fast-evolving, ownership-driven environment.
Requirements
- Hands-on experience in Site Reliability Engineering or similar role supporting live production systems
- Strong programming in Python, C++ or Rust with solid Linux fundamentals
- Experience with cloud platforms, containers and Kubernetes
- Understanding of observability practices and tools including SLIs, SLOs and error budgets
- Comfortable debugging complex distributed systems across software, networking, operating systems and hardware-adjacent environments
- Collaborative, detail-oriented approach to incident response and continuous improvement
- remote policy
- Hybrid working with core hours
- visa sponsorship
- Visa sponsorship and relocation support where applicable
Lab profile
About Wayve
London-based AI lab building embodied driving intelligence for autonomous vehicles.
What they build
- Wayve Driver embodied AI driving software
- GAIA generative world models for driving
- LINGO language-grounded driving AI
Known for
- End-to-end embodied AI for driving
- Camera-first, mapless autonomy approach
- Large-scale real-world learning and simulation
Key facts
- Founded in 2017
- Headquartered in London, UK
- Backed by SoftBank Group, NVIDIA and Microsoft
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