Software Engineer I - Lafayette at Medtronic · Lafayette

Summary: Medtronic is a global leader in healthcare technology, dedicated to alleviating pain and restoring health. The Software Engineer I will develop software solutions for surgical navigation and robotics, applying computer science fundamentals to enhance efficiency and quality in software delivery. Responsibilities: - Design, develop, test, and document customer-facing software components, supporting integration of hardware and software related to surgical navigation and robotics products - Design, develop, test, and document internal software components and infrastructure to support efficient development of software components related to surgical navigation and robotics products - Develop and consume APIs and data interfaces; parse, validate, and transform complex JSON payloads; and implement robust error handling and logging - Create developer tooling and automation (e.g., scripts) to analyze datasets, improve build/test workflows, and increase development efficiency - Apply AI tools responsibly to generate and refine code, tests, documentation, and data transformations, accelerating delivery and improving consistency - Build AI-assisted automation to reduce manual steps in development and support processes (e.g., data validation, log triage, regression analysis), creating simpler and more reliable workflows - Use data-driven methods (profiling, instrumentation, and analysis) to identify bottlenecks and implement changes that improve performance, reliability, and scalability - Participate in requirements gathering, estimating, and planning efforts - Interface with mechanical, electrical, systems, and test engineers as well as quality assurance and regulatory compliance teams - Troubleshoot, debug, maintain, and support existing products - Participate in ongoing professional development activities - Effectively contributes to development teams Required Qualifications: - Bachelor's degree in Data Science, Computer Science, or a similar Engineering discipline - 0+ years of software development experience (internships, co-ops, academic projects, or professional experience) Preferred Qualifications: - Proficiency in at least one programming language (e.g., Python or JavaScript) and ability to apply software engineering best practices (version control, code reviews, unit testing) - Strong grounding in computer science fundamentals (data structures, algorithms, object-oriented design, and debugging) - Experience manipulating data and working with structured formats such as JSON (parsing, transformation, validation, and schema-aware changes); comfortable exploring large datasets to troubleshoot issues and validate behavior - Hands-on experience using AI-enabled tools in a software engineering workflow (e.g., to accelerate coding/testing/documentation, automate repetitive tasks, and improve performance), with attention to quality, security, and traceability - Foundational knowledge of data science concepts (descriptive statistics, basic probability, and experiment/measurement mindset) to make data-driven decisions - Ability to work in an Agile team environment and communicate clearly with technical and non-technical stakeholders - Experience with programming in interpreted languages, specifically Python - Experience with development on the GNU/Linux platform - Experience with data interchange formats and services (JSON, RESTful APIs) and automated testing (unit/integration) - Background in data science, machine learning, or analytics (coursework, projects, or work experience), including feature engineering and model evaluation basics - Experience with Python data tooling (e.g., pandas, NumPy) and using computational notebooks or scripting to prototype analyses and automation - Familiarity with integrating AI capabilities into applications (e.g., prompt design, evaluation, and monitoring) and/or MLOps concepts (model/version management, reproducibility) Required Skills: Software Development, Python, JavaScript, Software Engineering Best Practices, Version Control, Code Reviews, Unit Testing, Computer Science Fundamentals, Data Structures, Algorithms, Object-Oriented Design, Debugging, JSON, Data Parsing, Data Transformation, Data Validation, AI-Enabled Development Tools, Data Science Concepts, Agile Methodologies, GNU/Linux Platform, RESTful APIs, Automated Testing, Machine Learning, Feature Engineering, Model Evaluation, Python Data Tooling, Computational Notebooks, Scripting, AI Integration, MLOps Benefits: Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, Simple Steps (global well-being program), Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums)