Software QA Engineer

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16, employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over countries. Learn more about what we do.

Our award-winningculture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

• Define and drive the overall quality strategy for products and releases.
• Lead test planning, risk assessment, and quality assurance initiatives across multiple projects.
• Establish and promote QA standards, best practices, and scalable testing processes.
• Drive test automation strategy and continuous improvement efforts.
• Analyze complex product issues, perform root cause analysis, and recommend corrective actions.
• Collaborate with Engineering, Product Management, and Support teams to ensure high-quality deliverables.
• Monitor quality metrics and provide data-driven recommendations to improve product quality.
• Mentor and coach QA engineers, fostering technical growth and quality ownership.
• Influence product and engineering decisions through quality-focused leadership.
• Champion innovation by evaluating and implementing new tools, technologies, and AI-driven QA solutions.
• Support release readiness reviews and provide quality-related go/no-go recommendations.
• Lead cross-functional initiatives that improve efficiency, reliability, and customer satisfaction.

Qualifications

· Advanced knowledge of networking TCP/IP protocols

· Minimum of 4 years of relevant professional experience.

· Strong scripting and automation skills, with Python preferred.

· Solid Linux operating system knowledge and troubleshooting skills.

· Experience with automation frameworks and automated testing systems.

· Familiarity with AI-powered development, testing, and debugging tools.

· Ability to leverage AI technologies to improve test automation, failure analysis, root-cause investigation, and QA productivity.

· Experience working in an Agile development environment.

· Strong debugging and troubleshooting skills.

· Working knowledge of tools and technologies such as Wireshark, Git, Jenkins, automation test harnesses, and AI-assisted engineering tools.

· Good communication skills and the ability to collaborate effectively with QA, Development, Support teams, and customers.

· Open to mentoring and providing technical guidance to junior team members.

Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***