Software QA Engineer

Ryzen Solutions; San Diego (CA); On-site; USD 85,000 - 120,000; Full time

Job summary

Ryzen Solutions in San Diego, CA is seeking a Test Engineer with 2+ years of manual and automated testing across software and hardware interfaces. The role requires Python scripting, end-to-end testing, log analysis, debugging, and experience validating data pipelines and data quality on test benches and devices.

You will autonomously design test plans, execute tests, document results, and collaborate with cross-functional teams to surface quality risks and drive improvements in

Qualifications

• 2+ years of hands-on testing across software and/or hardware integration.
• Experience designing and executing end-to-end test plans.
• 2+ years coding in Python with test automation or data processing.
• Strong debugging and root-cause analysis with log triage.
• Experience with data collection, curation, and data integrity checks.

Skills

Manual testing

Automated testing

Python scripting

Hardware/software integration

End-to-end testing

Exploratory testing

Log analysis

Debugging

Data pipelines

Data validation

Documentation

Communication skills

Job description

Our client in San Diego seeks a Test Engineer with 2+ years of manual and automated testing, strong Python scripting, hardware/software integration, E2E testing, exploratory testing, log analysis, debugging, data pipelines, and data validation experience.

Location: San Diego, CA.

Key Qualifications

• 2+ years of professional experience in hands-on manual and automated testing across software and/or hardware integration, with proven skill in designing and executing end-to-end test plans.
• Strong hands-on testing intuition: Experience conducting exploratory, ad-hoc, and user-scenario testing directly on devices and test benches to surface subtle edge cases that automated tests miss.
• 2+ years of coding and debugging experience in Python, with an emphasis on test automation, tooling, or data processing.
• Demonstrated debugging & root-cause analysis skills: Skilled at parsing system logs, triaging regressions, and driving complex issues to resolution cross-functionally.
• Experience with data pipelines and automation: Familiarity with building, maintaining, or validating automated workflows, test harnesses, or batch processing pipelines.
• Exposure to data collection and curation: Experience executing data collection protocols, verifying data integrity, and curating technical/sensor datasets.
• High autonomy and precision: Self-starter capable of managing competing priorities independently, with meticulous attention to detail and data integrity.
• Strong communication skills: Ability to clearly document reproduction steps, triage findings, and present quality risks to engineering stakeholders.