Senior Research & Development Engineer - Remote
Medtronic
- Location
- State of California United States of America
- Work model
- Remote
- Level
- Senior
- H-1B history
- 106 approvals (FY2023)
- Posted
- Sep 2, 2026
About this role
We anticipate the application window for this opening will close on - 19 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Cardiac Surgery Therapies (CST) Operating Unit develops technologies to support cardiac surgeons and care teams in treating cardiovascular disease. The organization partners across research, engineering, clinical, and regulatory functions to advance technologies from concept through commercialization, with a focus on improving procedural outcomes and patient care. This position is based in San Diego, California, and is eligible for remote work within the United States. The role requires collaboration with cross-functional teams and stakeholders across multiple locations and includes up to 10% travel as needed to support project activities, team meetings, and business objectives. The Senior Research & Development Engineer will contribute to the design, development, and advancement of cardiovascular medical technologies by applying scientific and engineering expertise to research initiatives and product development programs. This role will collaborate with cross-functional partners to investigate complex technical questions, generate data-driven insights, and translate research findings into product solutions that support clinical and commercial objectives.
Primary Responsibilities
Design and execute research studies to evaluate biological, physiological, or engineering questions related to product development initiatives. Develop and implement experimental protocols, test methods, and data analysis approaches to support technical decision-making. Lead technical investigation and troubleshooting activities to identify root causes and resolve complex product or research challenges. Collaborate with cross-functional teams, including engineering, clinical, quality, regulatory, and manufacturing partners, throughout the product lifecycle. Analyze and interpret experimental data and communicate findings through technical reports, presentations, and design documentation. Support the development, verification, and optimization of products, processes, and technologies from concept through commercialization. Contribute technical expertise to research and development programs, including activities associated with preclinical studies, clinical evaluations, or product performance assessments. Translate research discoveries and technical findings into practical product solutions that address unmet clinical needs.
Required Qualifications
Bachelor's degree with 4+ years of relevant research and development experience, OR Master's degree with 2+ years of relevant research and development experience, OR PhD in a scientific or engineering discipline. Experience designing, executing, and analyzing scientific or engineering studies in a research and development environment. Experience generating technical documentation, reports, and data-driven recommendations to support product development decisions. Experience collaborating with cross-functional teams to advance research, product development, or technology initiatives.
Preferred Qualifications
Experience within the medical device, biotechnology, life sciences, or healthcare industry. Experience supporting regulated product development activities within a quality management system. Knowledge of cardiovascular therapies, cardiac surgery technologies, or related clinical applications. Experience with statistical analysis, experimental design, and interpretation of complex datasets.