Build and operate Azure-focused cloud infrastructure, automation, and deployment systems, improving reliability and developer experience across development, testing, and production environments.
Wayve jobs
Wayve is a leader in automated driving, utilizing advanced Embodied AI technology.
171 open roles at Wayve
Build and operate Azure-focused cloud platforms, infrastructure automation, and deployment systems that help engineering teams develop, test, and release software reliably and efficiently.
Build and maintain scalable Python libraries and platform tools for machine learning teams, enabling reliable multimodal data workflows, distributed training and inference, and efficient use of large GPU clusters.
Own reliability engineering for large-scale AI infrastructure, improving GPU and Kubernetes platforms through automation, observability, safer deployments, capacity planning, and resilient distributed training.
Build and evolve CI/CD infrastructure that helps engineering teams build, test, and release software faster and more reliably, while improving pipeline scalability, security, observability, and developer experience.
Own Tel Aviv’s network and site infrastructure, supporting reliable, secure connectivity and hands-on local IT while collaborating with global teams to automate and scale infrastructure for AI development and vehicle testing.
Lead and grow a distributed IT and security team, setting technical direction across identity, endpoint management, security operations, SaaS and asset lifecycle while keeping systems secure and scalable.
Build and operate shared AI infrastructure for model access, production agent runtimes, and observability, establishing secure, reliable, and cost-effective standards that help engineering teams deploy AI tools.
Senior Software Engineer, Reliability Engineer
Own reliability for the systems behind autonomous vehicle operations by monitoring production health, resolving incidents, and building automation and lasting improvements across cloud and vehicle-adjacent environments.
Build and operate secure, reliable cloud platforms, CI/CD pipelines, and build systems that support software development, testing, deployment, and release across a global engineering team.
Own Parking features from concept through production, aligning OEM requirements with product strategy and guiding engineering delivery, sensor integration, performance targets, testing, and production readiness.
Principal / Director, Technical Program Management — Driver Out
Leads the multi-year Driver Out programme, coordinating engineering, safety, product and operations teams to deliver autonomy from an eyes-off demonstration through safe public-road product integration and initial scaling.
Own Collision Avoidance and Lane Keeping ADAS features from concept through production, aligning OEM requirements with product strategy and guiding engineering delivery, performance targets, testing, and validation.
Lead Technical Program Manager, AI Platform
Lead the technical programme management function for AI Platform, building a high-performing team and driving delivery across ML infrastructure, compute, developer tooling, training systems, and embedded inference.
Manage Japan’s People operations across the employee lifecycle, including onboarding, HRIS, working hours, payroll coordination, insurance, benefits and compliance, while improving processes and supporting employees and managers.
Lead and develop Japan’s Fleet Reliability SRE team, owning people, roadmap and reliability outcomes while staying hands-on with incidents, technical direction and the systems that keep autonomous vehicles safe and available.
Machine Learning Engineer, Application Software
Design and ship production-ready machine learning systems for autonomous driving, spanning driving models, data pipelines, evaluation, and deployment while advancing personalized and collaborative vehicle behaviors.
Design and operate scalable data pipelines that transform vehicle, synthetic and partner datasets into reliable, model-ready data, enabling autonomous-driving model development, evaluation and production workflows.
Analyze real-world vehicle runs and interventions to identify likely root causes, manage issues through resolution and reporting, and help validate and improve automated triage tools for ADAS systems.
Bring up and validate autonomy software on customer automotive hardware, integrating embedded platforms across SoCs and operating systems while coordinating with OEM partners and leading reliable delivery.
Lead platform bring-up and integration of an autonomy software stack on automotive hardware, owning early validation, OEM delivery, and technical direction across embedded systems and test infrastructure.
Own robotaxi programs from vehicle and fleet readiness through launch and in-market scaling, coordinating engineering, operations, safety and local partners to deliver a safe, reliable service.
Own the Japan L4 robotaxi product roadmap from concept through launch, aligning rider needs, AI and vehicle systems, operations, data, and partner integrations to deliver a safe, effective ridehail experience.
Senior / Staff Systems Engineer, AI Validation
Own simulation-led validation of autonomous driving behaviours, translating product requirements into metrics, automated tests, coverage criteria, and evidence that informs safety and release decisions.
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