Murata

Murata is a global leader in the design, manufacture and supply of advanced electronic materials, leading edge electronic components, and multi-functional, high-density modules. Murata innovations can be found in a wide range of applications from mobile phones to home appliances, and automotive applications to energy management systems and healthcare devices.
Why Consider This Job Opportunity
Murata Vios is looking for a talented and motivated Principal Engineer specializing in AI and Machine Learning (ML). This role combines technical leadership with hands-on development, defining the technical direction for AI/ML technologies. The AI &amp; MI Principal Engineer designs, develops, and deploys innovative algorithms that enhance our medical devices and improve patient outcomes. This position works alongside cross-functional teams to deliver impactful solutions while adhering to regulatory standards.
Workplace Policy
Hybrid from Woodbury, Minnesota
What To Expect (Essential Job Responsibilities)
<ul>
<li>Lead the architecture and design of scalable AI platforms and production of ML systems.</li>
<li>Provide technical leadership and mentorship to AI/ML engineers.</li>
<li>Lead technical reviews and make key architectural decisions for AI-enabled products.</li>
<li>Evaluate and introduce emerging AI technologies that provide competitive advantage.</li>
<li>Partner with product management, clinical teams, quality, regulatory affairs, and software engineering to define long-term AI/ML technology strategy and product roadmaps.</li>
<li>Collaborate with software engineers to integrate AI/ML models into existing software frameworks and ensure seamless operation of medical device systems.</li>
<li>Design and develop machine learning algorithms that analyze medical data (e.g., images, biosignals) to support diagnostic and predictive capabilities.</li>
<li>Design, develop, and deploy scalable AI/ML pipelines from research through production, ensuring reproducibility, reliability, and maintainability.</li>
<li>Develop and optimize deep learning models for biomedical signal, time-series, and medical image analysis.</li>
<li>Evaluate, validate, and optimize models for robustness, interpretability, and regulatory compliance.</li>
</ul>
Miscellaneous Job Responsibilities
<ul>
<li>Collect, preprocess, and analyze large biomedical datasets, ensuring data integrity and compliance with privacy regulations (e.g., HIPAA).</li>
<li>Optimize existing machine learning models for performance, accuracy, and efficiency; conduct testing and validation according to regulatory standards (e.g., ISO 13485).</li>
<li>Prepare technical documentation such as design specifications, testing protocols, and user manuals in compliance with medical device regulations.</li>
<li>Keep abreast of the latest advancements in AI/ML technologies and best practices as well as regulatory changes pertinent to the medical device industry.</li>
<li>Provide ongoing support and enhancements for deployed models and algorithms based on user feedback and performance monitoring.</li>
</ul>
What Is Required (Qualifications)
<ul>
<li>Ph.D. with 7+ years or Master’s degree with 15+ years of relevant industry experience in computer science, Software Engineering, Machine Learning, Biomedical Engineering, or a related field.</li>
<li>Experience developing deep learning models using architectures such as CNNs, RNNs/LSTMs, transformers, and other modern techniques for biomedical signal, time-series, and medical image analysis.</li>
<li>Experience with MLOps practices, including experiment tracking, model versioning, CI/CD for machine learning, automated training pipelines, and monitoring model performance in production.</li>
<li>Experience deploying AI/ML models using cloud platforms and containerized technologies such as AWS, Azure, Docker, Kubernetes, ONNX, or TensorRT.</li>
<li>Knowledge of explainable AI (XAI), model interpretability, AI risk management, and validation practices for regulated healthcare and medical device applications.</li>
<li>Experience in digital signal processing (DSP), signal conditioning, feature extraction, time-series analysis, and statistical signal processing. Experience with wavelet analysis and frequency-domain techniques is preferred.</li>
<li>Experience with foundation models, large language models (LLMs), retrieval-augmented generation (RAG), or multimodal AI applications is a plus.</li>
<li>Proficiency in MATLAB, Linux, Python.</li>
<li>Experience with software engineering best practices, including object-oriented design, code reviews, unit and integration testing, version control (Git), and Agile development methodologies.</li>
<li>Knowledge of FDA regulations, ISO standards (e.g., ISO 13485), and compliance requirements applicable to medical devices.</li>
<li>Excellent problem-solving and communication skills with a strong analytical mindset.</li>
</ul>
Other
Minimum Salary: $140,967.00
Maximum Salary: $160,000.00
Perks
<ul>
<li>Comprehensive benefits package including medical, dental, and vision insurance.</li>
<li>Generous Paid Time Off including paid holidays and floating holidays.</li>
<li>401(k) employer match on retirement planning.</li>
<li>Hybrid working schedule for eligible positions.</li>
<li>Tuition reimbursement on approved programs.</li>
<li>Flexible and health spending accounts.</li>
<li>Talent Development program.</li>
</ul>

Principal Engineer, AI and Machine Learning Software

Principal Engineer, AI and Machine Learning Software

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