Panasonic

AI Automation Quality Engineer I - Hybrid

Panasonic$69K — $115K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field.
  • Entry-level experience (0-2 years) in software development, automation, or data analytics.
  • Project experience applying automation or AI concepts is acceptable.
  • Foundational understanding of software development lifecycles and QA concepts.
  • Experience in programming or scripting languages such as Python is preferred.
  • Strong data analysis abilities to identify trends and gaps.
  • Excellent communication skills for cross-team collaboration.

Responsibilities

  • Design and maintain AI-enabled automation solutions for quality assurance.
  • Apply AI and data analysis techniques to enhance compliance workflows.
  • Analyze software lifecycle artifacts to identify improvement opportunities.
  • Develop AI-driven metrics and trend analytics to support decision-making.
  • Build systems using historical quality data to prevent issues recurrence.
  • Contribute to automation of quality reviews and audit support activities.
  • Collaborate with software engineering to integrate AI capabilities into tools.

Benefits

  • Flexible paid time off policy without a fixed limit for exempt employees.
  • Comprehensive health insurance options including medical, dental, and vision.
  • 401K plan with a 50% match on contributions, fully vested from day one.
  • Employee wellness programs and additional life and disability insurance options.
  • Education and commuter assistance programs for personal development.
Full Job Description
Overview

Responsibilities

The Position:

The AI Quality Engineer I supports the Process Assurance organization by designing, developing, and maintaining AI-enabled and automated solutions that enhance quality, compliance, and audit readiness across the software development lifecycle. In addition to Process Assurance initiatives, this role may also support AI-enabled automation efforts for other processes within the overall Global Quality organization, as priorities and capacity allow.

This role is primarily focused on AI and automation development, with the remainder portion of time contributing to core Process Assurance activities to support the Process Assurance team. The position partners closely with Quality leadership, Software Engineering, and other stakeholders to help improve efficiency, consistency, scalability, and data-driven decision-making within quality and compliance workflows.

AI & Automation Development (Primary Focus)
  • Design, develop, and maintain AI-enabled and automation solutions to support and enhance Process Assurance activities.
  • Apply AI, data analysis, and automation techniques to improve efficiency, consistency, scalability, and quality of compliance workflows.
  • Analyze and interpret software lifecycle artifacts (e.g., requirements, tests, reviews, defect records, audit artifacts) to identify gaps, risks, and improvement opportunities.
  • Develop AI-driven approaches to data analysis, metrics generation, and trend identification to support decision-making and continuous improvement.
  • Build systems that leverage historical quality data (e.g., defects, incidents, audits, corrective actions) to help identify patterns and prevent recurrence of issues.
  • Contribute to the automation and standardization of reviews, assessments, and audit-support activities while preserving appropriate human oversight and accountability.
  • Assist with root cause and corrective action analysis through data aggregation, pattern recognition, and analytical support.
  • Collaborate with Software Engineering and other stakeholders to integrate AI and automation capabilities into existing enterprise tools and workflows.
  • Identify and propose new opportunities for AI augmentation or automation within the Process Assurance function.
  • Ensure AI and automation solutions align with organizational governance, security, and quality management system requirements.
  • Support automation of Process Assurance task creation, tracking, and assignment within enterprise work management systems.
  • Support the development of AI-enabled and automated solutions for quality-related processes beyond Process Assurance, including other Global Quality functions, when aligned with organizational priorities.

Process Assurance Support (Secondary Focus)
  • Support verification activities related to quality, compliance, and traceability across the software development lifecycle.
  • Assist with execution of selected Process Assurance activities such as reviews, assessments, or data collection to support team workload as needed.
  • Participate in quality reviews and process improvement initiatives under the guidance of the Process Assurance Manager and senior team members.
  • Contribute to maintaining audit readiness by supporting preparation, organization, or analysis of quality records and metrics.
  • Collaborate with cross-functional teams to address quality-related issues and continuous improvement efforts.

The salary range of $69,000 - $115,000 is just one component of Panasonic's total package. The final offer amount may vary based on factors including but not limited to individual's knowledge, skills, experience, and location. In addition, this role may be eligible for discretionary bonuses and incentives.

Qualifications

What we're looking for:
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field required.
  • Entry-level or early-career experience (typically 0-2 years) in one or more of the following areas:
    • Software development, scripting, or automation
    • Data analysis or analytics
    • Quality engineering, QA, or process improvement
  • Academic, intern, or project experience applying automation, data analysis, or AI concepts to real-world problems is acceptable.
  • Foundational understanding of software development lifecycles and quality assurance concepts.
  • Experience or coursework involving at least one of the following:
    • Programming or scripting (e.g., Python or similar)
    • Automation frameworks or tooling
    • Data analysis, metrics, or visualization
    • Introductory AI or machine-learning concepts
  • Ability to analyze data and technical artifacts to identify trends, patterns, or gaps.
  • Strong organizational and communication skills, with the ability to collaborate across teams.
  • Ability to learn and apply quality standards, internal procedures, and customer or regulatory requirements.
  • Demonstrated curiosity, problem-solving mindset, and interest in using automation and AI to improve processes.

Our Principles:

Contribution to Society | Fairness & Honesty | Cooperation & Team Spirit | Untiring Effort for Improvement | Courtesy & Humility | Adaptability | Gratitude

What We Offer:
  • At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program.
  • Paid time off: Exempt Salaried employees receive flexible paid time off. This means that there is no fixed number, range, or limit to the amount of Personal and Vacation Days that may be taken for exempt employees. Non-exempt hourly employees accrue 14 vacation days per year + 7 sick days + 3 personal days. Accrual rate increases with tenure. All employees receive 11 company paid holidays per year. We also close our offices at the corporate level in the U.S. between Christmas and New Year. For operational positions that are expected to work on holidays, we provide additional compensation for hours worked.
  • Health Insurance: Medical insurance offerings from Aetna and Kaiser (CA &HI). Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. Dental PPO and DMO options & Vision insurance through EyeMed or VSP.
  • 401K with 50% match on up to 8% contribution, full vested from day 1.
  • Washington residents only are eligible for: Washington's Family and Medical Leave program and Washington's Paid Sick Leave program.
  • Other offerings include: Wellness Program, Counseling services, FSA & HSA, Life Insurance for employee, spouse and child, AD&D Insurance, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Legal Assistance, Pet Insurance, Identity Theft Protection, Dependent Care FLSA, Education Assistance, Commuter Program, Employee Purchase Program, Service Award Program.

All applicants are subject to Company policies, third party customer and worksite requirements, and government requirements, regarding vaccination and/or testing for COVID-19. Where permitted by applicable law, applicants may be required to be fully vaccinated with an authorized COVID-19 vaccine as a condition of employment, unless they are eligible for and obtain an exemption based on a reasonable accommodation because of a disability or a sincerely held religious belief, practice, or observance. While the Company strongly encourages COVID-19 vaccinations, it may require vaccination and/or testing for positions in which third party customer, worksite, or government requirements apply, in accordance with applicable law. At those locations where requirements apply, exemptions will be considered based on applicable law.

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About Panasonic

Panasonic Corporation is a multinational electronics company based in Osaka, Japan. The company was founded in 1918 as Matsushita Electric Industrial Co., Ltd. and changed its name to Panasonic Corporation in 2008. Panasonic produces a wide range of products, including televisions, home appliances, cameras, audio equipment, and automotive electronics. The company also provides business solutions, such as security systems, communication systems, and energy solutions. Panasonic has operations in over 160 countries and employs over 259,000 people.
Learn more about Panasonic
Size
240,198 employees
Industry
Founded
1979
NASDAQ

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