Staff Engineer, QA Performance

As a Staff Engineer, QA Performance at Samsung, you'll be integral in driving software performance and correctness. You'll collaborate with both internal and external teams, using shared tools and infrastructure to track and analyze performance data. Your role will include defining validation testing plans, conducting system-level functional validation tests, and improving testing processes—in essence, ensuring the software meets the high standards set out for cloud and data center environments.

To be considered for the Staff Engineer, QA Performance position at Samsung, you should hold a BS/MS in Computer Science or related fields with at least 10+ years of experience in software design, development, programming, and debugging. A strong expertise in CPU, memory, and storage architectures is essential, along with practical experience in server and storage test setups. Familiarity with programming languages such as C/C++, Python, and experience with performance benchmarking tools are key qualifications.

Samsung is dedicated to employee growth and professional development, particularly for the Staff Engineer, QA Performance role. You will have access to extensive training and development resources, enabling you to enhance your skills in performance analysis and optimization. Collaborating closely with leading minds in the industry will also provide opportunities to learn and innovate, advancing your career within a nurturing environment.

Working at Samsung as a Staff Engineer, QA Performance means being part of an inclusive and innovative work culture. Samsung emphasizes teamwork, creativity, and employee wellbeing, ensuring that your voice is heard and valued. Enjoy flexible work arrangements, mental wellness support, and community engagement opportunities, making it an empowering place to advance your career while contributing to exciting technology solutions.

Samsung provides a comprehensive benefits package for the Staff Engineer, QA Performance role that supports both personal and professional growth. In addition to competitive pay, which ranges from $157,000 to $243,000, employees enjoy over four weeks of paid time off, health benefits, wellness programs, opportunities for charitable involvement, and support for family growth and development.

When discussing your experience with performance optimization, highlight specific projects where you've identified performance bottlenecks and implemented solutions. Discuss the tools you used for analysis, such as profiling or benchmarking tools, and how your optimizations improved system performance.

Mention the programming languages you've worked with, focusing on C/C++ and Python. Share examples of projects or tasks where you utilized these languages effectively, especially in the context of system programming or performance testing.

Emphasize your collaboration skills by discussing a specific instance where you worked with cross-functional teams. Explain the project’s goals, your role, and how effective communication and teamwork contributed to its success.

Explain your systematic approach to debugging, including the tools and techniques you employ. Provide a specific example of a challenging debugging situation and how you resolved it, emphasizing your analytical skills.

Discuss your preferred validation testing strategies, such as boundary value testing or load testing, and how they apply to systems you're familiar with. Provide a detailed account of how you implemented these strategies effectively in previous roles.

Illustrate your familiarity with cloud computing and data center architectures by mentioning relevant projects or technologies you've worked with. Touch on performance metrics you've tracked or improvements you've made in those environments.

Share details on the performance benchmarking tools you've used, such as fio or sysbench. Discuss how you implemented these tools, what metrics you analyzed, and the outcomes of your tests in system validation.

Demonstrate your knowledge by explaining techniques such as eBPF or D-Trace. Provide examples of how you've applied these techniques to enhance system performance and diagnose issues effectively.

Discuss specific challenges you encountered in your QA performance roles, such as addressing rapidly changing specifications or tight deadlines. Highlight the strategies you used to navigate these challenges and ensure quality.

Explain your prioritization process, considering factors such as project deadlines and impact. Provide examples of how you effectively balanced multiple tasks while ensuring high-quality outcomes.