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Wayve Tech Stack

AI-native autonomous driving platform tested across 500+ global cities

Software Development London, United Kingdom 1,001–5,000 employees Founded 2017 Privately Held

Wayve builds an end-to-end AI driver model that runs on standard vehicle hardware across geographies—tested live in over 500 cities spanning Europe, North America, and Japan. The tech stack is embedded-systems focused (C++, Rust, Linux, QNX, AUTOSAR, LiDAR) with cloud observability (Datadog, Prometheus, Grafana, Splunk), signaling deep work on both real-time vehicle control and operational telemetry at scale. Hiring velocity is accelerating with 51 roles posted in the last 30 days—heavily weighted toward senior and manager-tier engineering—alongside active projects in hardware integration, fleet automation, and closed-loop evaluation, indicating a company moving from research toward production deployment and customer vehicle rollouts.

Tech Stack 25 technologies

Core StackC++ GitHub Linux Python Rust AWS Datadog Prometheus Grafana OpenTelemetry Splunk Microsoft Office CLIP Yocto QNX AUTOSAR systemd C/C++ Bash NVIDIA Nsight Systems GCP Azure Humio LiDAR CI/CD

What Wayve Is Building

Challenges

  • Localising autonomous driving technology
  • Hardware integration issues
  • Optimizing fleet resource allocation
  • Realistic synthetic data for autonomous driving evaluation
  • Localizing autonomous driving tech for japan
  • Performance across diverse socs
  • Seamless autonomous vehicle operation
  • Quality gaps in release process
  • Maintaining fleet uptime
  • Transition from assisted to automated driving

Active Projects

  • Ai software stack bring-up on customer hardware
  • Hardware integration into ci/cd and test infrastructure
  • Evaluation pipelines for closed-loop and open-loop driving performance
  • Automation of setup and flashing on target hardware
  • System diagnostics and secure boot implementation
  • Personalized and collaborative driving
  • Develop cutting-edge tools and automation for fleet management
  • Incident response lead
  • On-road adas testing strategy deployment
  • Av2.0 driver development

Hiring Activity

Accelerating70 roles · 50 in 30d

Department

Engineering
42
Ops
13
Product
5
HR
2
Sales
2
Marketing
1
Policy
1
Research
1

Seniority

Senior
27
Mid
15
Manager
13
Principal
5
Lead
4
Staff
3
Junior
1
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About Wayve

Wayve develops a vehicle-agnostic AI Driver software platform that enables different levels of autonomous driving capability—from advanced driver assistance to fully autonomous robotaxi operations. The platform is designed to run on native vehicle sensors and onboard compute, avoiding heavy custom hardware dependencies. Founded in 2017, the company has scaled to 1,001–5,000 employees across offices in the UK, US, Japan, Germany, Singapore, South Korea, and Israel. Core work spans AI model development, hardware integration with OEM and Tier-1 partners, fleet operations, and regulatory deployment in multiple geographies.

HeadquartersLondon, United Kingdom
Company Size1,001–5,000 employees
Founded2017
Hiring MarketsUnited Kingdom, United States, Japan, Germany, Singapore, South Korea, Israel

Frequently Asked Questions

What tech stack does Wayve use?

Embedded: C++, Rust, Linux, QNX, AUTOSAR, Yocto, systemd. Cloud & observability: AWS, GCP, Azure, Datadog, Prometheus, Grafana, Splunk. Sensors: LiDAR. AI: CLIP. CI/CD and development: GitHub.

Is Wayve working on autonomous taxi services?

Yes. Wayve delivers autonomy across a spectrum from hands-off and eyes-off driving to robotaxis. The AI Driver platform has been tested as a single global model across 500+ cities in Europe, North America, and Japan.

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