{"id":2039331,"url":"https://alion.io/job/psemi-principal-engineer-ai-and-machine-learning-software","title":"Principal Engineer, AI and Machine Learning Software","company":{"id":2429773,"name":"pSemi","domain":"psemi.com","url":"https://alion.io/company/psemi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Saint Paul, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140967,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":140967},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Explainable AI","optional":false},{"name":"HIPAA","optional":false},{"name":"Interpretability","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"ONNX","optional":false},{"name":"RAG","optional":false},{"name":"TensorRT","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Agile","optional":true},{"name":"Git","optional":true},{"name":"Linux","optional":true},{"name":"MATLAB","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-19T07:00:00Z","employer_posted_date":"2026-09-19","last_verified_at":"2026-10-11T22:32:35Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Murata Vios is a global medical device company dedicated to creating a paradigm shift in the way healthcare is delivered. Through the utilization of our internet-of-things medical-grade sensors and virtual patient care services, we plan to lower the cost of healthcare and improve patient outcomes. Murata Vios is seeking qualified individuals who contribute to our vision through sound product development engineering practices and passionate sales and marketing leadership.\nWhy Consider This Job Opportunity\nMurata 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 & 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.\nWorkplace Policy\nHybrid from Woodbury, Minnesota\nWhat To Expect (Essential Job Responsibilities)\nLead the architecture and design of scalable AI platforms and production of ML systems.\nProvide technical leadership and mentorship to AI/ML engineers.\nLead technical reviews and make key architectural decisions for AI-enabled products.\nEvaluate and introduce emerging AI technologies that provide competitive advantage.\nPartner with product management, clinical teams, quality, regulatory affairs, and software engineering to define long-term AI/ML technology strategy and product roadmaps.\nCollaborate with software engineers to integrate AI/ML models into existing software frameworks and ensure seamless operation of medical device systems.\nDesign and develop machine learning algorithms that analyze medical data (e.g., images, biosignals) to support diagnostic and predictive capabilities.\nDesign, develop, and deploy scalable AI/ML pipelines from research through production, ensuring reproducibility, reliability, and maintainability.\nDevelop and optimize deep learning models for biomedical signal, time-series, and medical image analysis.\nEvaluate, validate, and optimize models for robustness, interpretability, and regulatory compliance.\nMiscellaneous Job Responsibilities\nCollect, preprocess, and analyze large biomedical datasets, ensuring data integrity and compliance with privacy regulations (e.g., HIPAA).\nOptimize existing machine learning models for performance, accuracy, and efficiency; conduct testing and validation according to regulatory standards (e.g., ISO 13485).\nPrepare technical documentation such as design specifications, testing protocols, and user manuals in compliance with medical device regulations.\nKeep abreast of the latest advancements in AI/ML technologies and best practices as well as regulatory changes pertinent to the medical device industry.\nProvide ongoing support and enhancements for deployed models and algorithms based on user feedback and performance monitoring.\nWhat Is Required (Qualifications)\nPh.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.\nExperience 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.\nExperience with MLOps practices, including experiment tracking, model versioning, CI/CD for machine learning, automated training pipelines, and monitoring model performance in production.\nExperience deploying AI/ML models using cloud platforms and containerized technologies such as AWS, Azure, Docker, Kubernetes, ONNX, or TensorRT.\nKnowledge of explainable AI (XAI), model interpretability, AI risk management, and validation practices for regulated healthcare and medical device applications.\nExperience 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.\nExperience with foundation models, large language models (LLMs), retrieval-augmented generation (RAG), or multimodal AI applications is a plus.\nProficiency in MATLAB, Linux, Python.\nExperience with software engineering best practices, including object-oriented design, code reviews, unit and integration testing, version control (Git), and Agile development methodologies.\nKnowledge of FDA regulations, ISO standards (e.g., ISO 13485), and compliance requirements applicable to medical devices.\nExcellent problem-solving and communication skills with a strong analytical mindset.\nOther\nMinimum Salary: $140,967.00\nMaximum Salary: $160,000.00\nPerks\nComprehensive benefits package including medical, dental, and vision insurance.\nGenerous Paid Time Off including paid holidays and floating holidays.\n401(k) employer match on retirement planning.\nHybrid working schedule for eligible positions.\nTuition reimbursement on approved programs.\nFlexible and health spending accounts.\nTalent Development program.\nCreate a better life for patients, clinicians, and hospital administrators by joining the Murata Vios team. 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