About our Engineering Teams
You’ll join Wayve’s Product & Delivery (P&D) organization, working within the Sensor Architecture team to help define and integrate the sensor systems behind our end-to-end autonomy stack.
The team works across the full sensor suite, with particular depth in camera systems, while also shaping radar, lidar and other sensing topics across customer and vehicle programs.
You’ll work closely with Wayve’s hardware and software teams, OEMs, Tier 1s and sensor suppliers, helping connect what sensors can physically deliver with how the Wayve AI Driver performs in real-world driving conditions.
This role sits at the intersection of sensor technology, vehicle integration and autonomous-driving performance, with responsibility for taking defined sensor topics from analysis through to clear, data-backed technical recommendations.
🧠 Your day-to-day
You’ll help translate driving use cases, ODD requirements and product constraints into clear sensor-system requirements and measurable KPIs such as coverage, field of view, resolution, detection range and latency.
A significant part of your work will focus on camera systems. You’ll contribute to camera concepts, module and sensor selection, variants, field of view, placement and integration requirements across different vehicle platforms.
You’ll evaluate and help tune image quality across areas such as exposure, HDR, ISP behaviour, LED flicker, low-light performance and image artefacts, working closely with Wayve’s hardware team and camera / ISP suppliers.
You’ll also work directly with OEMs and Tier 1s on camera mounting and vehicle-integration requirements, including position, alignment and tilt tolerances, mount rigidity, windshield and cover-glass effects, occlusion, heating and cleaning, synchronisation and calibration assumptions.
Beyond cameras, you’ll contribute to radar and lidar topics, supporting requirements definition, sample evaluation and integration discussions around areas such as mounting, radome and fascia effects, calibration and interference.
You’ll analyze fleet, replay and validation data to understand gaps between expected and observed sensor behaviour, define test requirements with the hardware team, review results and recommend next steps.
The role also includes hands-on work in the lab and on vehicles, supporting sensor bring-up and integration debugging when needed, as well as using Python to automate analysis and reporting.
How we work 💻- Locations & Flexible Working
Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.