Own Pilot.Auto’s release lifecycle by building backend services, CI/CD pipelines, automated release gates, and traceable build and test workflows for autonomous-driving software.
TIER IV develops autonomous-driving systems and platforms built around Autoware, the open-source software its founder helped create. Its offering includes vehicle deployment and operations support, customizable systems and reference designs for automakers and developers, technical training and consulting, and hardware and software development kits. The company works with mobility operators, municipalities, automakers, developers and research organizations.
Its current products and services include Pilot.Auto and Web.Auto, Edge.Auto camera and sensor-fusion tools, and deployment, development and consulting services. In May 2026, TIER IV launched its MP camera series for commercial-scale Level 4 autonomous-driving systems.
- Salary range
- ¥3.2M – ¥20M
- Median
- ¥5.8M – ¥14M
- Can be worked in English
- 11%
- Remote or hybrid
- 35%
- Most requested
- AWS 3
- Machine learning 3
- Linux 1
- JLPT N1 1
- Native Japanese 2
- Japanese posting, level unstated 49
- No Japanese level detected 5
- Common areas
- Project management 8
- Backend engineering 7
- Data engineering 5
- DevOps 4
Measured from the 57 listings Ranked has live for TIER IV. Japanese level, visa signal and skills are AI-graded from each posting and can be wrong — confirm against the employer's original posting before applying.
57
open positions at TIER IV
6
Lead business development and project management to provide TIER IV products to domestic and international customers and partners.
Manage business-unit plans and budgets, track performance, analyze markets, support cross-functional projects, and improve business portfolios for autonomous-driving platforms.
Handles media relations, Japanese-English press releases, events, and speaker support, explaining autonomous-driving technology and business developments to domestic and international stakeholders.
Leads the creation, publication, change control, and adoption of QMS and SMS rules, coordinating stakeholders and tracking audit findings and corrective actions across the company.
Responsible for policy liaison work related to autonomous driving, including coordination with government agencies and industry stakeholders.
Lead market development for Co-MLOps project in automotive and mobility sectors, focusing on Japan and Asia.
Support legal operations related to contract reviews, project assistance, and legal risk management in a fast-paced environment.
Lead the service desk operations for corporate IT and general affairs, focusing on incident management and service request processes.
Lead the planning, operation, and improvement of new HR systems and organizational development initiatives.
Responsible for establishing appropriate labor management systems to provide a safe working environment for employees.
Lead graduate recruitment strategy and execution for science and engineering students in autonomous driving, AI, and robotics, covering outreach, selection, onboarding, and analysis.
Manage product development and strategy for autonomous driving software, including market research and partner management.
Support administrative functions for TIER IV's U.S. subsidiary and global portfolio companies, focusing on finance, accounting, and internal controls.
Responsible for developing and executing communication strategies and planning events to enhance brand recognition.
Engage in system engineering tasks for autonomous driving projects, defining operational domains and safety requirements.
Lead the hardware architecture for autonomous driving platforms, focusing on SoC design, verification, and collaboration with software teams.
Engage in system engineering tasks to develop autonomous driving systems, analyzing customer needs and regulations to define system and functional requirements.
Lead technical management from roadmap formulation to implementation and evaluation of autonomous driving system development.
Manage project execution plans for new product and solution development in autonomous systems.
Design and develop sensors and computing devices for autonomous vehicles, understanding requirements and specifications.
Involved in the development of autonomous driving systems, focusing on cybersecurity for in-vehicle devices and systems.
Manage cross-organizational development and project management based on deep technical understanding.
You will be responsible for coordinating the formulation and implementation of a global-standard safety strategy, establishing a Safety Management System (SMS) and creating Safety Cases for products or projects.
Lead supply and demand planning linked to projects and vehicle development plans, ensuring zero stock-out risk and optimizing inventory and cash efficiency.
Lead projects in autonomous driving systems and services, managing requirements, KPIs, and technical direction.
Involved in all development phases of system design for autonomous vehicles, collaborating with various teams to develop TIER IV's autonomous vehicles.
Responsible for regulatory compliance, certification, quality assurance, and experimental management processes related to autonomous driving systems.
Manage and promote the overall project of autonomous vehicle development, collaborating with vendors and internal teams based on technical knowledge.
Develop sensing technologies for autonomous driving systems, including sensor system design and performance evaluation.
Design and develop planning and control technologies for autonomous driving, ensuring functionality in complex environments.
As an Autonomous Driving - Security Engineer, you will ensure the highest level of security by engaging with all stages of the development and operation lifecycle.
Responsible for various tasks related to the development of autonomous driving systems, including hardware integration and performance verification.
Lead validation efforts for AD/ADAS vehicle configurations and sensor evaluations, including project management and customer support.
Support project management for autonomous vehicle development, including meeting facilitation, tracking technical issues, and stakeholder coordination.
Provides technical support for autonomous-driving products, investigates issues across vehicles, sensors, and software, escalates findings, maintains technical documentation, and delivers customer training.
Analyze and visualize large datasets from autonomous driving operations, connecting information across teams.
Develop and implement Deep Neural Networks (DNN) for autonomous vehicles, focusing on hardware optimization and low power consumption.
Build an autonomous-driving software evaluation platform, automating scenario generation from fleet data, simulator integration, CI/CD testing, and test-result assessment.
Plans and implements testing for the Web.Auto platform supporting Autoware, covering test automation, CI/CD integration, performance improvement, and quality analysis for autonomous-driving systems.
Responsible for the design and operation of deployment infrastructure to support safe and rapid releases, and improve observability and continuous improvement of the release process.
Develop and operate the infrastructure supporting the evaluation of autonomous driving systems.
Organizes and tags TIER IV's collected data. A resume is mandatory; applicants are also asked for shareable links or materials on research, internships, or self-promotion.
Lead data collection and annotation processes, collaborating with engineering teams to support effective development.
Develop and operate systems from in-car to cloud, focusing on backend and vehicle agent areas, with full-cycle ownership.
As a senior backend engineer, you will lead your team technically and collaborate across teams to develop and maintain backend services for autonomous driving systems.
Develop and operate an AI/MLOps platform supporting large shared datasets for the Co-MLOps project.
Develop and operate edge infrastructure and middleware connecting in-car systems and cloud services, leading a development team.
Design and develop autonomous systems for heavy machinery and construction equipment, focusing on both hardware and software aspects.
Lead the architecture design and implementation of a data platform for autonomous driving development, driving business impact through data-driven decision making.
Develop and operate a data platform that supports the collection, search, and analysis of data generated by autonomous driving.
Manage and advance domestic autonomous-driving implementation projects with municipalities and companies, coordinating vehicles, schedules, software settings, field trials, proposals, and team members.
In this role, you will be involved in backend design, development, testing, and operation of services that make up Web.Auto, considering the skills and preferences of applicants.
Develop high-performance and robust end-to-end machine learning models for autonomous vehicles.
Lead the technical aspects of autonomous driving software, focusing on quality and architecture, while collaborating with robotics and AI engineers.
Lead the implementation and operation of MLOps functions on the Co-MLOps Platform, utilizing large-scale data for autonomous driving AI development.
Design, develop, integrate, and verify autonomous driving systems and related services based on the open-source software 'Autoware'.