No Japanese Required Jobs in Japan
225 jobs in Japan with no Japanese required, updated 25 October 2026.
You don't need Japanese to build a career in Japan. Every role below is open to candidates without Japanese language skills, so you can work in an English-speaking environment from day one. Many of these companies also support visa sponsorship and overseas applications.
Refine with filters →Technical Training & Quality Instructor, JP Residential Energy
TeslaTechnical Training & Quality Instructor, Residential Energy. Tesla's mission is to accelerate the world's transition to sustainable energy. Residential energy products enable customers to generate, store, and consume sustainable energy. This role sits within Residential Technical Support and drives agent capability, knowledge quality, and customer outcomes across the region. The Residential Technical Support team is committed and fast-paced. As a team member, you will help maintain Tesla’s residential energy fleet to ensure an excellent customer experience and best-in-class availability. You must have a genuine passion for technology and a drive to solve challenges that will transform the world’s energy infrastructure. This role thrives in a fast-paced, entrepreneurial environment with a high degree of self-sufficiency. The Technical Training & Quality Instructor balances three equal pillars: technical training, quality & performance insight, and technical writing. You design and deliver training, analyse tickets and analyse CSAT call drivers to upskill agents, and own clear, accurate knowledge content — so agents resolve issues confidently and customer experience improves. Responsibilities include designing and delivering technical training for new hires and existing agents on products, troubleshooting, tools, and customer handling; running upskilling programmes that close skill gaps identified from quality, tickets, and CSAT insights; partnering with global training and local stakeholders to keep curriculum current with product and process change; analysing service tickets and interaction data to identify recurring issues, knowledge gaps, and root causes affecting resolution quality; analysing CSAT and call drivers, prioritising top drivers and turning findings into coaching, process, or content actions for internal and external stakeholders; tracking metrics and giving structured feedback that improves agent performance and customer experience; owning and maintaining the internal knowledge base for residential energy process, software, and product content; working with SMEs to gather accurate information and write clear procedures and articles for agent audiences; and editing to style standards, validating accuracy through review, and keeping content current as products and processes change.
神谷町（東京）【Commercial Energy Asset Manager】
TeslaThe Commercial Energy Asset Manager is responsible for the oversight of commercial and operational deliverables for deployed industrial battery storage energy projects portfolios. This includes the continuous evaluation of improved operations, system performance, and site level profitability for the assigned asset. Responsibilities include managing and resolving contractual, regulatory, and commercial issues as they arise; facilitating, in coordination with other internal teams, monitoring and challenging operational performance and optimization metrics to achieve the project’s highest possible availability guarantees and gross profit; working closely with the onsite operations team to ensure safe and efficient operations of the asset; ensuring compliance with all project governing documents including O&M Agreements, Interconnection Agreements, and Service agreements; managing day-to-day stakeholder relationships internally and externally with site owners, end customers, field service teams, finance and accounting teams, and other parties needed to operate the asset; reviewing recurring reports on project performance as needed per contractual obligations and driving the closure of open cases and inquiries across the portfolio; negotiating contract renewals as needed; monitoring and influencing all maintenance and operations for the assets based on fleet health, organizational priorities, and current fiscal relationship with the end customer; working with internal and external resources to develop strategies that maximize revenue and reduce risk and market exposure of the asset; and using strong commercial skills to manage various complex commercial and contractual matters over the lifecycle of projects.
Staff Platform Engineer, CI/CD
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.
Senior Platform Engineer, Cloud Infrastructure
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.
Principal Application Software Engineer
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.
ML Triaging Engineer
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.
Technical Support Enginner
BDLead troubleshooting and resolution of complex onsite issues related to clinical diagnostic equipment and software that cannot be resolved at the first level of support. Contribute to product management and new product introductions, identifying issues related to design, reliability, and maintenance, and collaborating with global engineering teams to improve product quality. Provide advanced technical support to customers by leveraging a broad range of technical expertise, helping to build strong and trusted relationships. Take the lead in issue resolution and preventive maintenance activities in clinical environments, contributing to improved healthcare outcomes.
Machine Learning Manager, Application Software
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.
Machine Learning Engineer, Application Software
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.
Data Engineer, Application Software
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.
Frequently asked questions
Can you work in Japan without speaking Japanese?
Yes. Many tech, sales and international roles work in English. Every listing here is filtered so that Japanese isn't required to apply.
Do I still need a visa?
Yes. Check whether the role offers visa sponsorship; you can filter for it. See these jobs with visa sponsorship
Will I need Japanese later?
These roles don't require it, but basic Japanese helps with daily life and with promotion. Which JLPT level do jobs in Japan ask for?