Sr. Software Design Quality Engineer AI (Karnataka)
Sr. Software Design Quality Engineer AI (Karnataka)
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Karnataka, India
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Posted: less than a week ago
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Description
You are responsible for Design Quality Engineering Expertise
- Lead Design Quality Engineering activities for assigned projects across the full software product lifecyclefrom concept to commercialization.
- Drive compliance with design control processes (e.g., ISO 13485, IEC 62304, ISO 14971, IEE1633, and AI regulation frameworks such as EU AI Act-ready practices).
- Act as key partner for defining and maintaining quality strategies, KPIs for complex, multi component systems integrating software, cloud, data, and AI/ML in compliance with applicable regulations and standards.
- Software & AI Quality Assurance
- Oversee quality planning, documentation, and reviews for software and AI-enabled solutions (foundation models, prompt engineering).
- Design quality assurance for deep neural networks”, as well as “Governance of training pipelines” (for reproducibility).
- Ensure robust validation strategies for artificial intelligence models, including dataset quality, model performance, bias detection, and continuous learning.
- Partner with R&D; teams to ensure transparency, explainability, and traceability in AI model development.
- Risk Management & Compliance
- Oversee risk management activities per ISO 14971, including hazard analyses, FMEAs, fault tree analyses, cybersecurity risk assessments, and AI-specific risks.
- Evaluate design robustness and reliability using data-driven methods and statistical techniques.
- Technical Reviews & Design Assurance
- Collaborate with R&D; team and conduct expert-level design reviews on architecture, algorithms, code, test strategy, and verification/validation evidence.
- Identify gaps early in the design and drive cross-functional remediation.
- Serve as a quality SME during regulatory submissions and audits.
- Process Excellence & Continuous Improvement
- Mentor teams in quality engineering best practices.
- Support in developing advanced processes for AI product lifecycle, dataset governance, software traceability, DevOps, and continuous quality monitoring.
- Champion culture of “Quality by Design” across R&D.; Apply on Kit Job: kitjob.in/job/4msu60
- Lead Design Quality Engineering activities for assigned projects across the full software product lifecyclefrom concept to commercialization.
- Drive compliance with design control processes (e.g., ISO 13485, IEC 62304, ISO 14971, IEE1633, and AI regulation frameworks such as EU AI Act-ready practices).
- Act as key partner for defining and maintaining quality strategies, KPIs for complex, multi component systems integrating software, cloud, data, and AI/ML in compliance with applicable regulations and standards.
- Software & AI Quality Assurance
- Oversee quality planning, documentation, and reviews for software and AI-enabled solutions (foundation models, prompt engineering).
- Design quality assurance for deep neural networks”, as well as “Governance of training pipelines” (for reproducibility).
- Ensure robust validation strategies for artificial intelligence models, including dataset quality, model performance, bias detection, and continuous learning.
- Partner with R&D; teams to ensure transparency, explainability, and traceability in AI model development.
- Risk Management & Compliance
- Oversee risk management activities per ISO 14971, including hazard analyses, FMEAs, fault tree analyses, cybersecurity risk assessments, and AI-specific risks.
- Evaluate design robustness and reliability using data-driven methods and statistical techniques.
- Technical Reviews & Design Assurance
- Collaborate with R&D; team and conduct expert-level design reviews on architecture, algorithms, code, test strategy, and verification/validation evidence.
- Identify gaps early in the design and drive cross-functional remediation.
- Serve as a quality SME during regulatory submissions and audits.
- Process Excellence & Continuous Improvement
- Mentor teams in quality engineering best practices.
- Support in developing advanced processes for AI product lifecycle, dataset governance, software traceability, DevOps, and continuous quality monitoring.
- Champion culture of “Quality by Design” across R&D.; Apply on Kit Job: kitjob.in/job/4msu60
Highlights
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Company namePhilips
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Job positionSr. Software Design Quality Engineer AI (Karnataka)
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