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Lead a US embedded software team building portable core libraries and SDK APIs for Wayve’s autonomous driving stack, spending ~40% coding in C++/Rust and ~60% managing, delivering safety‑certified libraries across Linux/QNX automotive platforms.
Develop low‑level electronics and embedded systems for autonomous driving compute platforms, designing board‑level hardware, high‑speed interfaces (PCIe, Ethernet, USB), and collaborating with software and systems teams to bring up and validate mission‑critical hardware.
The ML Engineer will design, build, and deploy deep‑learning driving models and related data pipelines, evaluation tools, and production systems for autonomous vehicles, collaborating with AI, simulation, and robotics teams. Core technologies include Python, PyTorch, C++, CUDA, and real‑time robotics.
Lead a new Application Engineering team to develop and deploy autonomous driving features for the US market, overseeing robotics, machine learning, and systems integration while hiring, mentoring, and collaborating with OEM partners.
Lead a Japan-based team to localize and develop autonomous driving features, overseeing robotics, machine learning, and systems integration while collaborating with OEMs and global engineering teams.
Lead the bring‑up and validation of Wayve’s AI software stack on automotive hardware in Tokyo, handling Linux/QNX/Adaptive AUTOSAR ports, driver integration, CI/CD pipelines, and hardware diagnostics using C/C++, Bash and Python.
Lead the design, architecture, and reliability of Wayve's robot software stack for autonomous vehicles, defining technical roadmaps, mentoring engineers, and collaborating across hardware, simulation, and data teams using C++, Python, ROS2 and real‑time systems.
This founding Cloud SRE role involves building and scaling the reliability foundations for Wayve's AI model development and GPU compute platforms. The engineer will define operational standards, manage incident response, and automate infrastructure to support large-scale autonomous driving AI workloads.
The Senior Data Scientist partners with AI engineering teams to build large datasets, design experiments, and generate statistical insights that guide the development, safety, and performance of Wayve’s autonomous‑driving AI, using production‑level SQL and Python/R data‑science tools.
Senior Software Engineer on Wayve’s Simulation Technology team, building and scaling the core simulation platform for autonomous driving using Python, Kubernetes, and workflow orchestration tools, focusing on robot emulator fidelity, visual fidelity, and performance.
The Software Integration Engineer will bring up and validate Wayve’s AI driving stack on automotive hardware platforms, port Linux, QNX and AUTOSAR systems, integrate drivers and middleware, and automate testing within CI/CD pipelines.
As a founding Staff SRE, you will build and scale the reliability foundations for Wayve's AI model development and GPU compute infrastructure. You will define operational standards, manage large-scale Kubernetes clusters, and ensure the performance of distributed systems supporting autonomous driving technology.
The Staff Data Scientist partners with AI engineering teams to analyze large driving datasets, design experiments, and create performance metrics that guide improvements to Wayve’s autonomous‑driving AI, using production‑level SQL and Python/R statistical tools.
The Staff Machine Learning Engineer will lead the development of safety-critical, end-to-end driving models for autonomous vehicles using large-scale data and transformer-based architectures. This role involves setting technical strategy, conducting research, and collaborating across teams to improve model robustness and performance in real-world driving scenarios.
The Supply Chain Program Manager leads end‑to‑end supply chain execution for vehicle prototypes and new product introductions, coordinating across engineering, operations, manufacturing and external partners, using BOM, material planning and compliance frameworks.
The System Integration Engineer leads integration and bring‑up of autonomous vehicle platforms, prototyping, assembling, and testing hardware and software systems on vehicles and development benches, while supporting fleet troubleshooting. Core technologies include embedded Linux, C++/Python scripting, and hardware debugging.
The Systems Engineer, AI Validation creates and runs validation strategies for Wayve’s AI Driver, designing metrics, building test suites, and analyzing results across simulation and real‑world driving, primarily using Python.
Build and maintain automated hardware-in-the-loop tests for Wayve’s self-driving software stack, covering embedded systems, ADAS, and AI models to ensure safety and reliability.
Develop embedded C++ software, SDKs, APIs and hardware abstraction layers for autonomous vehicle platforms, working across Linux and QNX systems, integrating perception and control functions, and collaborating with hardware partners.
Build and run a B2B SaaS portal that connects Wayve’s AI autonomy platform to automaker partners, shipping backend services, APIs, and UIs while owning production reliability and customer experience.
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