Senior Manager, Quality Assurance leading quality initiatives and compliance across multiple sites in the drug discovery industry. Ensures regulatory adherence and oversees QA team operations.
About the role
- AI/ML Quality Engineer ensuring AI technology meets safety and quality standards at Woven by Toyota's Global Safety and Quality team. Responsible for integrating industry best practices in AI development.
Responsibilities
- Regularly review and improve Woven by Toyota internal engineering standards with regards to the new standards and regulations that are being released for the AI technology, and align with stakeholders from in/outside of the company.
- Assist engineering teams in defining and implementing tailored engineering processes with the focus on AI technology development.
- Support product integrity teams in defining and managing AI technology quality and safety acceptance metrics and criteria.
- Participate in the identification of risks, hazards and potential failures of the products that contain AI technology, acting as a facilitator and mentor during these activities.
- Guide engineering teams through the evaluation and qualification of the SW tools that are used for the AI technology development or contain AI “under the hood”.
- Perform review and assessments of the work products related to the AI technology and created by the engineering teams, highlighting any gaps and managing findings resolution plans.
- Participate in engineering teams audit sessions to help identify any process deployment and execution gaps related to the AI engineering activities.
- Own competency management plans for engineers and managers, creating, maintaining and executing them, including active contribution to the Woven by Toyota training programs.
- Steer data management frameworks safety and quality across multiple lines of business, assuring data integrity, quality and safety are assured.
- Promote the safety and quality culture across the company together with the Global Safety and Quality team.
Requirements
- Minimum 8-10 years experience in the automotive or AV industry for mass production(ideally with the focus on software safety or quality).
- Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or Software Engineering.
- Strong knowledge of SW engineering processes and tools (i.e., github/gitlab, unit test frameworks,
- Strong understanding of the AI technologies used in the automotive industry (e.g., CNNs, RNNs, Transformer-based architectures) and at least 2 years of practical experience working with such technologies.
- ML engineering experience with pytorch and/or tf+keras (C++ and/or Python).
- Understanding of the C++ syntax and ability to read and analyse the codebase.
- Knowledge of how data build tools and data pipelines work (dbt, Snowflake).
- Business level English and Japanese.
Benefits
- 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)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Electrical Supplier Quality Engineer identifying circuit board/component solutions at Emerson in Shakopee, MN. Collaborating with design engineers and suppliers for quality assurance and cost - effective production.
Product QA Engineer for SAP Fioneer focusing on testing and quality assurance in financial services software. Collaborating with cross - functional teams for manual and automated testing efforts.
Quality Assurance Engineer responsible for testing and ensuring quality across web, desktop, and mobile platforms. Collaborating with development and product teams to deliver high - quality software products.
Penetration Tester responsible for black, grey, and white - box penetration testing at MUFG. Mentoring junior members and preparing concise reporting on vulnerabilities found.
QA Lead overseeing software quality assurance initiatives. Developing test plans, executing test cases, and mentoring team members in quality standards and practices.
HiL Test Engineer conducting testing for Battery Management Systems. Collaborating with teams to ensure functionality, safety, and compliance for the automotive industry in a hybrid work environment.
Senior Software Quality Engineer in an Agile team focused on delivering high - quality products using manual, automation, and AI/ML technologies to enhance software testing.
QA Manager overseeing the project life - cycle management and quality assurance at Expleo. Ensuring project deliverables meet cost and quality standards while managing client relationships.
Senior QA Specialist providing quality oversight of suppliers for GMP manufacturing of gene therapies at OXB. Collaborating with suppliers and cross - functional teams for compliance and quality assurance.