Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
Jobs in Japan
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
666 jobs in Japan open to English speakers, updated 25 October 2026.
Explore hand-picked jobs in Japan for English speakers across tech, education, marketing, and more.
Vetted companies only. Apply from overseas.
Yes. You need a status of residence that allows the work, and for most office jobs the employer sponsors it. Every listing here shows whether the company offers visa sponsorship. See jobs with visa sponsorship
Not always. Many roles at international and fast-growing companies work in English, and each listing shows its English and Japanese requirements. See jobs with no Japanese required
Yes, for roles with visa sponsorship. The employer applies for your Certificate of Eligibility while you are still abroad, and you then get your visa at a Japanese embassy or consulate. Browse jobs you can apply for from overseas
39 open jobs
WayveOur DevOps team owns two main areas: cloud infrastructure, including Kubernetes, networking, security and the Coder development environment, and build infrastructure across GitHub, Bazel, Buildkite, testing and related developer tooling. The two engineers we’re hiring will be the start of our local DevOps presence in Japan, part of a follow-the-sun support model with our UK and US teams. As a Staff Platform Engineer, you’ll help build, operate and improve the cloud platforms, build systems and continuous integration and delivery infrastructure that support Wayve’s software development lifecycle. Working as part of a global team, you’ll create reliable, scalable, secure and efficient environments for software development, testing, deployment and release. As one of the first two DevOps engineers in Japan, you’ll combine hands-on project work with local coverage for Wayve’s global developer-support model during normal Japan working hours. You’ll build, operate and improve cloud infrastructure, CI/CD pipelines and build systems that support development, testing and production, primarily in Azure. You’ll develop and maintain Infrastructure-as-Code, automation and developer tooling for reliable, repeatable delivery; operate and scale CI/CD services, including build agents, runners, artifact storage, distributed execution, caching and containerised workloads; implement observability, monitor system health, and troubleshoot infrastructure, pipeline, build and deployment issues; optimise cloud systems for performance, reliability, security and cost efficiency; work with engineering teams across Japan, the UK and the US to ensure platforms meet application needs and support scalable software delivery; and contribute to the DevOps support channel, incident response and root cause analysis, reducing manual operations through automation.
WayveOur Cloud Infrastructure team builds, operates, and improves the shared cloud platforms that support Wayve’s engineering organisation. We work with engineering teams to create secure, reliable, and scalable infrastructure that meets application needs and supports scalable software delivery. As a Platform Engineer, you’ll work across cloud foundations, Terraform, Kubernetes, developer environments, observability, and FinOps. This is a hands-on role with opportunities to deepen your expertise in cloud infrastructure and governance, security and FinOps tooling, automation, observability, and platform engineering. You’ll build and operate secure, scalable cloud environments with consistent governance and standards; develop Infrastructure-as-Code, automation, and self-service tooling that make infrastructure provisioning and change safe and repeatable; own the lifecycle and governance of Kubernetes clusters, continuously improving how they are provisioned, configured, upgraded, maintained, and recovered; operate and improve shared developer environments and observability platforms; work with engineering teams to ensure platforms meet application needs and support scalable software delivery; and contribute to incident response, root cause analysis, and continuous improvement of infrastructure and operational practices. You’ll work on secure, reliable, and scalable shared cloud infrastructure with consistent governance and standards; Terraform, Infrastructure-as-Code, and self-service tooling; Kubernetes cluster lifecycle and governance; shared developer environments and observability platforms; and security and FinOps tooling, automation, and improvements to infrastructure reliability and operational practices.
WayveYou’ll join a growing, new product team building a new business vertical for Wayve and our first consumer program. The product is built on top of Wayve’s end-to-end AI model, so you’ll work on applied AI, and you’ll see and feel what you ship by taking part in the ridehail service yourself. As a Technical Product Manager for Robotaxi, you’ll own the product from zero to one on our roadmap for L4, in Japan. It’s a full-stack role that combines technical, business and partnership work, spanning the rider’s experience through AI driving, software, hardware, operations, policy and partner integrations. You’ll be the voice of the Japanese rider inside Wayve, working closely with partners such as Uber and Nissan, and you’ll stay immersed in data and metrics day to day. You’ll work across Engineering, HMI, AI, Systems, Operations and external teams, and wear multiple hats. You’ll define strategy, roadmaps and product requirements with riders in mind, and own the Japan Robotaxi roadmap. You’ll lead cross-functional working groups across Engineering, HMI, AI, Systems and Operations to deliver core launches in 2026. You’ll serve as the voice of the customer, gathering and prioritising rider and partner feedback, as well as being a technical system designer. You’ll work with AI, software, hardware, policy, operations and partner teams to resolve bugs and ship features. You’ll establish launch readiness, including integration with partners, coverage of customer use cases, AI driver performance, top issues and launch risks. You’ll stay immersed in data and metrics, using them day to day to steer product decisions. You’ll work closely with partners including Uber and Nissan while staying accountable for Robotaxi product performance in Japan. You’ll operate independently from day one, identifying gaps and doing whatever is needed rather than owning one narrow feature.
WayveThe Application SW team sits within Application Engineering in Product & Delivery. We bridge AI innovation and production vehicles, defining and executing the strategy for integrating Wayve’s autonomy stack into multiple OEM platforms, and working directly with automotive customers, including major Japanese OEMs. As an Application SW Engineer, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring it performs reliably across diverse SoCs and operating systems. You’ll work closely with Verification, Release and OEM partner teams to make integration smooth and delivery dependable. Your time will be split across platform bring-up and integration, customer and partner engagement, and technical leadership, including helping to build the team. You’ll execute software bring-up on customer hardware platforms such as NVIDIA Drive and Qualcomm Ride; port and configure Linux-based systems, QNX and Adaptive AUTOSAR environments; integrate and validate drivers, middleware and boot-time configurations; work with Verification and Release teams to integrate hardware into CI/CD, HIL and test infrastructure; work with OEM and Tier 1 teams to resolve hardware-specific integration issues; implement system-level diagnostics, logging and secure boot configuration; develop automation for setup, flashing, health checks and test execution on target hardware; define and execute the strategy for integrating the autonomy stack into multiple OEM platforms; and build the team while providing technical leadership across integration work.
WayveThe Triage team in Application Software Japan, part of Product & Delivery, plays a critical role in the safety, reliability and triage efficiency of Wayve’s ADAS+ systems. It bridges Detective Engineering, Triage Engineering and the component teams, so that root causes in real-world vehicle behaviour are found quickly and accurately and issues get resolved faster. As a Customer Integration Engineer (ML Triaging Engineer), you’ll carry out first-level analysis of real-world run data and on-road interventions, work out likely root causes, and produce Top Issue reports across our test environments and operational domains. You’ll work closely with Detective Engineers on ambiguous or complex runs and with Triage Engineers on automated triage solutions, and you’ll own issues from identification through to documentation and reporting. As Wayve scales, so does the triage team, and you’ll handle multiple triage tasks, requests and safety incidents at the same time. You’ll perform first-level analysis on real-world run data and on-road interventions; investigate issues to identify or narrow down likely root causes and work with Detective Engineers on deeper analysis of ambiguous or complex runs; partner with Triage Engineers to support and improve automated triage solutions; manage the full issue lifecycle from identification and investigation through resolution, documentation, reporting and follow-through; add accurate metadata to interventions, including root cause labels, Jira links and comments; validate triage automation bots, offline metrics and simulation suites, ensuring outputs meet quality standards; give feedback on triage tooling and suggest improvements to usability and speed; take part in regular standups to address emerging concerns, set priorities and adapt to process changes; and contribute to a high standard of safety, quality and operational discipline across triage.
WayveWe’re looking for an exceptional technical leader to spearhead our new Japan-based Application Engineer team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the Japanese market. This is a unique opportunity to shape Wayve’s AV capabilities in Japan from the ground up. As the founding manager, you’ll lead a small but mighty team of engineers working across robotics, machine learning and systems integration. You’ll drive development of autonomy features tailored to Japan’s road infrastructure, cultural driving behaviours and regulatory landscape, so that our AV stack performs safely and effectively in this distinctive environment. Given the distance and time zone difference from our London HQ, your team will operate with significant autonomy, so we’re looking for someone who thrives in self-directed, startup-like conditions: able to set a vision, execute fast and make robust decisions independently, while staying aligned with global engineering efforts. This role requires breadth. Strong experience across AV systems, including robotics and autonomy, is essential, and deep expertise in machine learning is a major plus.
WayveThe Application Engineering (App SW) team sits within Product & Delivery and works on critical initiatives that push the frontier of model-based autonomous driving. That covers core driving performance as well as feature-level intelligence such as personalisation, comfort and collaboration. As an ML Engineer, you’ll design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work spans model architecture, data pipelines, evaluation frameworks and real-world deployment. You’ll work closely with the AI Platform, Simulation, Robot SW and Model Release teams to build systems that are performant, adaptable and ready for production. You’ll develop and improve end-to-end driving models with state-of-the-art performance, robustness and generalisation; drive projects on personalised and collaborative driving, including behaviour conditioning, comfort tuning and user alignment; build evaluation pipelines and metrics for closed-loop and open-loop driving performance and product readiness; curate and mine real-world and synthetic data to drive scenario diversity, coverage and feature-specific development; influence architecture choices, training methodologies and deployment pathways for production-scale learning systems; collaborate across teams to keep integration smooth and iteration fast; and mentor engineers while helping shape the long-term technical direction across Autonomy.
WayveThe Machine Learning team within Application Software, part of Product & Delivery, works on critical initiatives that push the frontier of model-based autonomous driving. That covers core driving performance as well as feature-level intelligence such as personalisation, comfort and collaboration. As a Data Engineer, you’ll design and deliver scalable data pipelines that turn vast amounts of data from diverse internal and external sources into structured, reliable and model-ready datasets. Your work spans data ingestion, data quality assurance, transformation, curation, evaluation and ML support. You’ll work closely with Wayve’s Data Corpus teams, customer programmes and ML engineers, bringing up ingestion pipelines for new vehicle platforms and sensor configurations, and tackling the highest-impact bottlenecks first. You’ll build and improve scalable data pipelines that support model development, evaluation and production ML workflows for autonomous driving; ingest, transform and curate large-scale real-world, synthetic and partner-provided datasets into structured, reliable, model-ready formats aligned with standardised taxonomies and coordinate systems; develop data quality checks, validation processes and monitoring so that raw vehicle data and processed datasets are high-quality, complete, consistent, traceable and fit for ML use cases; curate and mine real-world and synthetic data to drive scenario diversity, coverage and feature-specific development; improve pipeline performance, reliability and usability, reducing bottlenecks and increasing iteration velocity across ML development; and collaborate closely with ML engineers, Data Corpus, AI Platform and external partners so data pipelines integrate effectively with production-scale learning systems.
WayveThe Application SW team sits within Application Engineering in Product & Delivery. We bridge AI innovation and production vehicles, defining and executing the strategy for integrating Wayve’s autonomy stack into multiple OEM platforms, and working directly with automotive customers, including major Japanese OEMs. As an Application SW Engineer, you’ll be responsible for the bring-up and early validation of our AI software stack on customer hardware platforms, ensuring it performs reliably across diverse SoCs and operating systems. You’ll work closely with Verification, Release and OEM partner teams to make integration smooth and delivery dependable. Your time will be split across platform bring-up and integration, customer and partner engagement, and technical leadership, including helping to build the team. You’ll execute software bring-up on customer hardware platforms (e.g. NVIDIA Drive, Qualcomm Ride); port and configure Linux-based systems, QNX and Adaptive AUTOSAR environments; integrate and validate drivers, middleware and boot-time configurations; work with Verification and Release teams to integrate hardware into CI/CD, HIL and test infrastructure; work with OEM and Tier 1 teams to resolve hardware-specific integration issues; implement system-level diagnostics, logging and secure boot configuration; develop automation for setup, flashing, health checks and test execution on target hardware; define and execute the strategy for integrating our autonomy stack into multiple OEM platforms; and build the team and provide technical leadership across integration work.
WayveThe Application SW team sits within Application Engineering in Product & Delivery. We build the application-layer software that connects Wayve’s AI capabilities to real vehicle behaviour, working at the intersection of AI, ADAS and real vehicle systems. You’ll have the chance to help shape a new feature engineering capability in Japan. As an ADAS Feature Engineer, you’ll develop C++ feature logic, validation tools and system behaviours that let AI-native driving technology operate robustly in real vehicles. You’ll work with ML, product, systems and vehicle teams to turn model outputs and vehicle data into reliable, testable and customer-relevant ADAS features. It’s a hands-on role close to the car: you’ll debug and tune features using logs, simulation, replay and vehicle testing, and validate ADAS and active safety behaviours in practical driving scenarios. You’ll design, implement and maintain C++ application software for ADAS and active-safety-related vehicle features; build feature-level logic on top of AI / ML outputs, including validation, feasibility checks, state machines, fallback behaviours and safety-aware decision logic; work with ML engineers to understand model outputs, limitations and failure modes, and how these translate into vehicle behaviour; use logs, simulation, replay and vehicle testing to debug, tune and validate feature behaviour; define and improve metrics, test cases and validation strategies for ADAS feature performance, robustness and quality; collaborate with product, systems, vehicle integration and OEM-facing teams to turn requirements and real-world constraints into engineering solutions; support field testing and iterative development, including investigating vehicle issues, edge cases and performance gaps; and contribute to software architecture, code quality, tooling and engineering practices for feature development.