Python Qa Automation Jobs in California (NOW HIRING)

At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.

We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.

About the Team:

The SQA team within Systems Engineering group is looking for a motivated Senior QA Automation Engineer to join our high-performance validation team.

Job Description:

Our organization focuses on the development and validation of enterprise-grade datacenter storage solutions. The SQA team is seeking a talented, detail-oriented automation engineer to ensure our products meet the highest standards of quality, performance, and reliability.

In this role, you will design, develop, automate, and execute comprehensive test plans to validate the functionality and endurance of enterprise SSDs and server storage systems. You will work closely with cross-functional development teams to identify, reproduce, and resolve defects throughout the product lifecycle. Your contributions will directly impact product maturity and customer satisfaction.

Internally, we are constantly innovating to enhance our test coverage using emerging technologies like generative AI and advanced automation platforms. A successful candidate should be self-driven, an expert in Python automation, and capable of thriving in a collaborative, fast-paced lab environment.

Responsibilities and Tasks:

• Develop and maintain test plans, cases, and reports based on product requirements and industry standards (NVMe, PCIe, OCP).
• Design, build, and maintain sophisticated automated test scripts and frameworks using Python to drive regression suites and CI/CD pipelines.
• Execute functional, endurance, and stress tests on enterprise SSDs (U.2/U.3, EDSFF) to maximize coverage.
• Configure and maintain enterprise server hardware (Dell, HPE, Supermicro), including BIOS/UEFI, RAID controllers, and networking setup.
• Analyze test results, log defects in JIRA, and drive root-cause analysis for complex system-level failures.
• Manage OS installations and configurations across Linux (RHEL, Ubuntu), Windows Server, and VMware vSphere/ESXi environments. Virtualization experience is a PLUS.
• Stay current with emerging storage protocols and integrate AI/ML tools (e.g., Copilot, Claude) to optimize test generation and defect prediction. AI/ML tools development and know-how is a PLUS.

Required Qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field.
• 5+ years of hands-on experience in QA automation and systems validation, specifically focusing on enterprise storage or server systems.
• Expert-level proficiency in Python and Shell/Bash scripting for lab automation and test orchestration.

Preferred Qualifications:

• Deep understanding of SSD architecture, NVMe/PCIe protocols, and file systems (ext4, XFS, NTFS).
• Proficiency with IO generation tools such as FIO, VDBench, IOMeter or other equivalent tools.
• Advanced experience with VMware lifecycle management (cloning, migrating, and troubleshooting VMs). Virtualization Knowledge is a PLUS
• Experience utilizing generative AI or automation intelligence to enhance test development. AI env/setup/deployment know-how is a PLUS

COMPENSATION: $50.00 – $70.00 per hour

REGARDING COMPENSATION:

The hourly wage 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