R&D Test Software Engineer

• Develop, validate, and maintain production test software and automated test sequences for prototype and pre-production units.
• Design and implement test frameworks, data collection/logging, and test result analysis tools to support high-volume manufacturing.
• Create and update automated workflows and test applications (e.g., C#, Python, OpenTap, or other test frameworks).
• Support integration of automated test equipment (ATE) and test fixtures; troubleshoot hardware-software interactions.
• Implement workflow modernization initiatives leveraging AI/ML for anomaly detection, predictive maintenance, test optimization, and data-driven yield improvements.
• Automate repetitive NPI tasks (build reports, data aggregation, regression testing) and integrate systems with PLM/MES/ERP where appropriate.
• Participate in Design for Testability (DFT) and software requirements reviews; propose improvements to reduce test time and increase coverage.
• Perform root-cause analysis of test failures and work with cross-functional teams to implement corrective actions.
• Produce clear technical documentation: test procedures, software release notes, and validation reports.
• Track NPI metrics, report project status, and support continuous improvement efforts.

• Bachelor’s degree in Computer Science, Electrical Engineering, Software Engineering, or related field.
• Internship/co-op or project experience developing test software, automation scripts, or test frameworks.
• Proficiency in at least one programming language used for test automation (Python strongly preferred; OpenTap, C#, or similar acceptable).
• Familiarity with test equipment (multimeters, oscilloscopes, power supplies) and ATE concepts.
• Basic understanding of electronics and PCB-level testing.
• Experience with data collection, logging, and basic data analysis (pandas, NumPy, or similar).
• Strong problem-solving skills and experience with debugging software/hardware integration issues.
• Good communication and teamwork skills; ability to work in lab/production environments.

• Experience applying AI/ML methods for anomaly detection, predictive maintenance, or yield optimization (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with workflow automation tools or RPA platforms and integrating software with MES/PLM/ERP systems.
• Familiarity with test frameworks (pytest, Robot Framework) and test equipment APIs (IVI, VISA).
• Knowledge of version control (Git), CI/CD practices, and automated testing pipelines.
• Understanding of manufacturing processes (SMT, ICT, functional test) and quality systems (ISO9001, Six Sigma basics).
• Experience with time-series data analysis, dashboards (Grafana, Power BI), and telemetry pipelines.
• Prior exposure to scripting for instrument control (PyVISA, nidaqmx) or ATE

Most offers will be between the minimum and the midpoint of the Salary Range listed above.

Note: For other locations, pay ranges will vary by region

US Employees may be eligible for the following benefits:

• Medical, dental and vision
• Health Savings Account
• Health Care and Dependent Care Flexible Spending Accounts
• Life, Accident, Disability insurance
• Business Travel Accident and Business Travel Health
• 401(k) Plan
• Flexible Time Off, Paid Holidays
• Paid Family Leave
• Discounts, Perks
• Tuition Reimbursement
• Adoption Assistance
• ESPP (Employee Stock Purchase Plan)