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Build full-stack tools for AI-driven autonomous vehicle evaluation, enabling scenario search, mining, and agentic workflows to test and debug driving models at scale.
Builds and maintains fleet management platform for Wayve’s autonomous vehicles, enabling real-time software deployment, vehicle monitoring, and integration with dispatch services. Core tech: full-stack (React/TypeScript frontend, Rust/Go/Node.js backend), distributed systems, Kubernetes, Azure, and observability tools.
Leads a data science team to analyze real/simulated driving data, drive engineering progress, and scale operations for Wayve’s AI-powered autonomous vehicle tech.
The Technical Product Manager will own the roadmap for Wayve's development and experimentation vehicle platforms, bridging the gap between hardware, software, and operations. This role involves defining platform requirements and KPIs to accelerate the development of Embodied AI for autonomous driving.
Build full-stack tools and services for managing Wayve’s global fleet of autonomous vehicles, including health tracking, software management, and location services.
Develops and executes automated tests for embedded software in autonomous vehicles, ensuring reliability and integration across OS, middleware, and sensors before real-world deployment. Focuses on hardware-in-the-loop validation and CI pipeline contributions.
Full-stack engineer building and operating web applications and scalable backend services for Wayve's Model Development Platform, supporting autonomous driving model workflows using React, TypeScript, Python, and related frameworks.
The Senior Software Engineer will build and maintain a mission-critical Data Transfer Hub to handle petabytes of sensor data for autonomous vehicle AI training. The role involves designing distributed data pipelines using Python, Terraform, and Azure to facilitate global data exchange with partners.
Own the Israel site's network and infrastructure operations—designing and maintaining wired/wireless networks, VPNs, VLANs, and firewalls—while collaborating with global teams and using IaC tools like Terraform and Ansible to support AI-driven autonomous vehicle development.
Lead a new SRE team to harden Wayve’s AI-driven vehicle software, defining reliability standards, observability, and incident response for a globally distributed autonomous fleet.
Leads development of AI-driven emergency trajectory models for autonomous vehicles, focusing on evasive maneuvers and collision avoidance. Combines ML research, system integration, and safety validation to deploy high-consequence models in production.
Product Designer shaping digital in-vehicle experiences for Wayve's autonomous vehicle fleet, including operator tools and guest-facing interfaces for ADAS technology.
Software Engineer on Wayve's AI Libraries team building Python libraries, tools, and platforms that enable ML engineers to train, evaluate, and scale autonomous driving models across large GPU clusters.
Wayve is seeking a Machine Learning Engineer to develop efficient, interactive generative world models for autonomous driving simulation. You will focus on optimizing model performance and inference latency to enable closed-loop training and evaluation of driving systems.
The Machine Learning Engineer will build and scale generative world models to create synthetic data for autonomous driving systems. This role involves collaborating with researchers to post-train models, manage large-scale GPU inference pipelines, and integrate synthetic data into the training stack for driving models.
The Staff Machine Learning Engineer (Ops) will oversee the end-to-end model development and release lifecycle for autonomous driving AI. This role involves optimizing ML delivery pipelines, enforcing quality gates, and collaborating with platform and CI/CD teams to ensure robust model deployment.
SRE for autonomous vehicle software, building observability, incident management, and automation tooling using Python, C++, or Rust with hands-on Linux systems debugging to improve vehicle reliability in production.
Senior Software Engineer building the data flywheel platform that turns world-scale fleet data into training data and powers foundation-model training/evaluation at Wayve, using Python, distributed data processing (Ray, Spark/Databricks), and workflow orchestration.
A hands-on dealership role at Subaru Victoria: keeping new and pre-owned vehicles clean, organized, and customer-ready on the lot, while photographing pre-owned inventory for online listings using digital cameras, smartphones, and inventory software. Full-time, 40 hours/week at $20/hour, reporting to the General Sales Manager.
BI analyst at Moscow Metro's Safe Transport Innovation Center: builds reports and dashboards, analyzes big data on Moscow's transport system, optimizes system performance, and presents results to stakeholders. Core stack: Vertica, SQL, BI tools (Visiology, Power Query) plus frontend skills (JavaScript, HTML/CSS).
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