Job Description:

SK Hynix Memory Solutions has a key design center in San Jose with focus on enterprise datacenter SSD development. The Reliability System Engineering team is seeking a talented and detail-oriented test engineer to join us and help ensure our products meet the highest standards of quality, performance, and reliability.

As a test engineer, you will help design, develop, automate, and execute test plans to validate the functionality, endurance, and reliability of our enterprise data center SSD products. You will work closely with other functional development teams to identify, reproduce, and resolve defects during the development lifecycle. Your work will directly impact product quality and customer satisfaction.

Internally, we are always looking to innovate and enhance our test coverage and automation capabilities, using various new technologies like generative AI. As a member of the team, you will also have opportunities to contribute to these investigative and development efforts to design and develop new automation platforms and test coverage systems.

A successful candidate should be self-driven, innovative, able to communicate clearly, and must work well in a collaborative team environment.

Responsibilities and Tasks

• Develop and maintain test plans, test cases, and test reports based on product requirements and industry standards (e.g., JEDEC, OCP, NVMe, PCIe)
• Design, develop, and maintain automated test scripts and frameworks for SSD validation (using Python, Java, and C++)

• Execute functional, endurance, and stress tests on SSDs to maximize test coverage
• Partner with our NAND, FW, SoC, and other validation teams to work issues to swift and effective solutions
• Analyze test results, log defects, and track issues through resolution using JIRA
• Maintain and enhance existing automation frameworks and test coverage capabilities with modern innovative solutions
• Stay up to date with emerging SSD technologies, protocols, and industry test methodologies
• Enhance test coverage and efficiency innovations utilizing AI tools and the latest AI aided engineering techniques

Required Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related field.

• 2+ years of experience in QA testing, preferably with SSDs, storage devices, data servers, or embedded systems

• Proficiency in scripting/programming languages: Python (preferred), Java, C/C++.
• Knowledge of software design patterns and concepts
• Familiarity with Linux/Windows OS, command-line tools, and storage utilities (e.g., fio, smartctl, iostat).

• Strong analytical, debugging, and creative problem-solving skills.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with enterprise or data center SSDs.
• Strong understanding of SSD architecture, NVMe/SATA protocols, and storage interfaces.
• Familiarity with storage test methodology (such as RDT and design margin testing)​
• Understanding of reliability concepts such as life models, AFR and MTBF​
• Experience working with volume SSD test system such as Flexstar, Neosem, Advantest, or UniTest equipment
• Knowledge of JEDEC, NVMe, OCP, or other storage industry standards
• Experience with statistics analysis applications such as JMP for data analysis
• Experience with utilizing reinforcement learning and generative AI for test development and data analysis
• Experience with joint qualification process for enterprise customers​

COMPENSATION: $100,000/yr - $120,000/yr

REGARDING COMPENSATION:

SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth.

The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.