LLMOps Engineer, ADAS

About Our Organization

Our organization is enabling a transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: autonomous driving and advanced driver assist technologies; a software development platform for software-defined vehicles; a test course for mobility; and the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

Team

Our organization develops, implements, and scales human-centered automated driving solutions for personal and commercial use. Our team is responsible for developing perception technologies and its production software for the AD/ADAS system. To realize a fully reliable and highly functional system, we are tackling complex real-world problems utilizing large scale data, machine learning algorithms, and a variety of perception technologies.

Who Are We Looking For?

The ideal candidate is self-motivated to find solutions to complex real-world problems, and makes an impact while contributing to a cross-functional team. You will combine cutting-edge technologies with robust safety standards while also considering cost efficiency. Also, you have patience to tackle the processes required for production development and approach them by asking “What can I do for you?” with a “Giver” mindset.

Responsibilities

• Address challenges within the AI Agent system (particularly workflow improvements, infrastructure updates, continuous integration, evaluation, and deployment to users)
• Design and implement scalable LLMOps/DevOps pipelines in cloud environments based on CI/CD best practices
• Maintain the environment for LLM improvements, including Docker images, and datasets
• Develop visualization, analytics, and monitoring for the AI Agent system
• Support the implementation of the elements surrounding the AI Agent system to meet advanced security standards

Minimum Qualifications

• BS/MS in Computer Science or the equivalent in experience with evidence of exceptional ability
• 3+ years of experience in software development, particularly in LLMOps, MLOps, DevOps, or related fields
• Professional experience building software on cloud platforms
• Professional experience with ML infrastructure, CI/CD, and visualization tools
• Business-level English

Nice to Haves

• Experience using DevOps tools (e.g., GitHub Actions) and infrastructure management tools (e.g., k8s, Terraform)
• Experience with Azure Cloud (API Management, Durable Functions, Application Insights)
• Experience building applications using AI Agents and LLMs (Python, TypeScript)
• Knowledge of or strong interest in application security and infrastructure security

Important Points

All interviews will be arranged via Google Meet, unless otherwise stated. The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version. We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.

What We Offer

• Competitive Salary - Based on experience
• Work Hours - Flexible working time
• Paid Holiday - 20 days per year (prorated)
• Sick Leave - 6 days per year (prorated)
• Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company
• Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance
• Housing Allowance
• Retirement Benefits
• Rental Cars Support
• In-house Training Program (software study/language study)

Our Commitment

We are an equal opportunity employer and value diversity. Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.