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LivaNova PLC is seeking a Software Test Engineer to join our Houston, TX facility. You will develop automated test systems for neuromodulation products, run tests, analyze data, and contribute to design verification and production tests.
The role requires hands-on debugging and collaboration with R&D and quality teams. Moonlighting in a highly regulated medical device environment, you will automate testing in C# and related tools, perform dFMEA analyses, and help ensure product quality from
As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow - because at LivaNova, we don't just treat conditions - we aspire to alter the course of lives.
The expected salary range for this position ranges from $85,000 - $100,000 annual salary, plus discretionary bonus. Pay ranges may vary by location.
Position Overview As our Software Test Engineer, you will work with a robust, cross-functional group of electrical, RF and firmware engineers. You will partner with the R&D and New Product Quality teams to develop test software for characterization, design verification, and manufacturing purposes at our Houston, TX area facility. This is a full-time position and may include occasional travel (less than 10%). This is an opportunity to develop products that directly impact patients' lives.
At LivaNova, you'll help change the trajectory of lives for a new day while working alongside passionate teams dedicated to delivering impactful innovation for patients worldwide.
LivaNova values equality and diversity.
We are committed to ensuring that our recruitment process is fair, transparent and free from unlawful discrimination.
Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of a candidate’s sex, gender identity, age, marital status, veteran status, non-job-related disability/handicap or medical condition, family status, sexual orientation, religion, color, ethnicity, race or any other legally protected classification.