Sr. Software Engineer

At Penguin Solutions (Nasdaq: PENG) – The AI Factory Platform Company – we’re building a team of innovators who thrive on collaboration, creativity, and the opportunity to help shape the future of AI. As part of the AI technology revolution, our teams design, build, deploy, and manage AI factories for enterprises, sovereign AI initiatives, and neocloud providers worldwide.

Headquartered in Silicon Valley, California, Penguin Solutions operates globally through a network of R&D, manufacturing, and sales locations. For nearly three decades, we have operated at the intersection of memory and AI/HPC infrastructure. That engineering expertise positions us to power the next generation of AI workloads, from training to inference and agentic AI at scale.

Penguin Solutions brings together differentiated infrastructure software, advanced memory, compute systems, end-to-end services, and industry-leading partner solutions in a full-stack AI factory platform designed to help customers deploy and scale AI workloads with speed and precision.

At Penguin Solutions, we value ideas over hierarchy and believe in servant leadership, where leaders enable teams to do their best work. We empower employees to take ownership, drive innovation, and grow through challenging work, continuous learning, and exposure to advanced AI tools and technologies. With flexibility where it matters and a strong focus on outcomes, Penguin Solutions is a place to do your best work, grow your career, and make a meaningful impact.

Job Overview

We are seeking an innovative Test Software Engineer in Taiwan for our memory business to bridge the gap between complex engineering design and high-volume mass production by developing robust software tools and APIs for rigorous product testing.

Your core focus will be translating Windows-centric, expert-level vendor Mass Production Tools (MPTools) into safe, error-proof counterparts optimized for our Linux-based production floor and non-expert operators. To accelerate this critical cross-platform development, you will heavily leverage modern AI-assisted coding workflows (such as Cursor) to efficiently build the sophisticated testing ecosystems that ensure our manufacturing quality and streamline production.

Responsibilities

• Design, develop, and deploy comprehensive, production-level software tools and frameworks to ensure the proper testing, validation, and quality control of products on the manufacturing floor.
• Write and maintain robust APIs that enable seamless interaction between our Linux-based Production testers and the controller manufacturers' standalone (often Windows-based) MPTools.
• Translate complex, engineering-focused workflows and MPTools into safe, streamlined applications with built-in checks and balances suitable for non-expert production floor operators.
• Bridge the operating system divide by adapting, communicating with, or porting functionality from Windows-based vendor engineering tools into a highly efficient Linux mass production ecosystem.
• Utilize AI coding assistants (e.g., Cursor) to rapidly develop, debug, and optimize software counterparts to Engineering MPTools, ensuring high efficiency and code quality.
• Implement and troubleshoot communications using SATA and NVMe protocols, including the handling of Vendor Unique Commands.
• Work closely with both the Engineering and Production teams to understand the nuanced differences between engineering requirements (flexibility, deep diagnostics) and production requirements (stability, speed, error-proofing, operator simplicity).
• Willingness to travel occasionally to customer sites and industry events as needed

Qualifications

• Deep understanding of Windows vs. Linux environments. Must be highly capable of navigating the architectural and operational differences to successfully integrate Windows-developed vendor tools into a Linux production infrastructure.
• Strong proficiency in Python, C, and Bash scripting for full-stack tool creation and automation.
• Deep technical knowledge of SATA and NVMe protocols.
• A solid, practical understanding of the strict differences between Engineering and Production environments, particularly regarding user safety, error handling, system uptime, and operational simplicity.
• Familiarity with UI/UX principles for manufacturing execution systems (MES) or operator dashboards.
• Excellent interpersonal skills with strong English verbal and written communication capabilities. You must be able to clearly articulate technical concepts to both local and international teams.

Mandatory Requirements

Minimum Education: Bachelor’s degree in Electrical Engineering or a related field.

Experience

• 3-5 years of experience in DRAM module burn-in, stress testing, and failure analysis.
• Experience working with Vendor Unique Commands and mass production tools for storage controllers.
• Demonstrated experience or strong willingness to use AI-assisted coding tools (like Cursor, Codex) to accelerate the software development lifecycle.
• Previous experience in SSD or storage manufacturing test environments, specifically building tools from scratch.

Location

Based in Taiwan

Travel

Yes