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Honda Dev. and Mfg. of Am.,LLC

AI Machine Learning Principal Engineer

raymond, OH

Check who can apply and the requirements below before continuing.

About this opportunity

Honda Dev. and Mfg. of Am.,LLC lists this AI Machine Learning Principal Engineer opportunity in raymond, Ohio. Review the employer’s description below for duties, qualifications and application requirements.

Job description

What Makes a Honda, is Who makes a Honda

Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

Lead the design, development, and deployment of advanced AI and machine learning solutions supporting Honda’s automotive R&D initiatives, with a focus on production-grade AI for vehicle development, simulation, manufacturing quality, and digital twins—owning solutions end-to-end and mentoring engineers while partnering with CAE, CAD, manufacturing, and data platform teams.

Key Accountabilities

Lead development and validation of AI/ML solutions with measurable impact for automotive engineering - CAE, and manufacturing use cases.

Design and deploy AI surrogate models using Graph Convolutional Neural Networks (GCNNs) to augment/replace physics-based CAE.

Architect and deploy scalable cloud-based AI systems on AWS/Azure aligned with enterprise governance.

Own the full AI lifecycle: data ingestion, feature engineering, training, evaluation, deployment, and monitoring.

Implement MLOps and GenAIOps best practices (versioning, drift detection, CI/CD, traceability).

Develop and deploy agentic AI solutions for CAE in the cloud and deploy AI agents to execute/augment/monitor workflows.

Support ETL activities related to ADC data (CAE) structure.

Establish design standards, code quality, and documentation to support reuse and auditability.

Mentor and technically guide mid-level and junior engineers.

Qualifications, Experience, and Skills

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.

8+ years of experience developing and deploying ML/AI systems; 3+ years in production environments.

Other Job-Specific Skills

Hands-on experience with graph neural networks (GCNNs, GNNs, GATs, MPNNs)

Advanced proficiency in Python; C++ or Java is a strong plus for automotive contexts

Deep expertise in ML frameworks (PyTorch, TensorFlow, scikit-learn)

Strong foundation in statistics, optimization, and numerical methods

Hands-on experience deploying AI solutions on AWS/Azure (e.g., Amazon Bedrock)

Experience with LangGraph / LangChain & Strands SDK.

Experience with containers, pipelines, and MLOps tooling (Docker, MLflow, CI/CD)

Knowledge of model governance, compliance, and responsible AI frameworks

CAE/physics-informed ML, surrogate modelling, or simulation experience (preferred).

Prior knowledge of automotive or related design engineering work is a plus.

Job Dimensions

Decisions Expected

Working Conditions

Work is primarily conducted at an office desk; hybrid (office/home) work may be available.

Occasional travel and overtime may be required based on project milestones.

Work in a cross-functional environment supporting engineering, simulation, and manufacturing stakeholders.

What differentiates Honda and makes us an employer of choice?

Total Rewards:

Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)

Regional Bonus (when applicable)

Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)

Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)

Paid time off, including vacation, holidays, shutdown

Company Paid Short-Term and Long-Term Disability

401K Plan with company match + additional contribution

Relocation assistance (if eligible)

Career Growth:

Advancement Opportunities

Career Mobility

Education Reimbursement for Continued learning

Training and Development Programs

Additional Offerings:

Lifestyle Account

Childcare Reimbursement Account

Elder Care Support

Tuition Assistance & Student Loan Repayment

Wellbeing Program

Community Service and Engagement Programs

Product Programs

Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Worksite address

raymond, OH, 43067, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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