Sr. System Product Engineer

Job Req ID: 27075

About Supermicro:

Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.
 

Job Summary:

Supermicro is looking for an innovative and strategic GPU System Product Manager to drive the development and lifecycle management of cutting-edge GPU server platforms and AI infrastructure solutions. This role is perfect for a technology leader with a passion for AI, machine learning, high-performance computing (HPC), and GPU-accelerated workloads. Someone who excels at bridging technology, business strategy, and customer success. As a Product Manager at Supermicro, you will leverage your technical expertise and communication skills to define product strategies, explore customer-centric solutions across key verticals, and drive product development and validation.

Essential Duties and Responsibilities:

Includes the following essential duties and responsibilities (other duties may also be assigned):

Key Responsibilities

• Product Development & Execution
• Drive product development cycles, from concept through launch, ensuring timely delivery and quality.
• Hands-on activities on the developed AI/GPU systems. This includes:
• System assembly knowledge (GPU, CPU, Motherboard, Memory, Storage and Networking).
• Server hardware and software validation and testing expertise.

• • • Linux operating system level benchmarking, driver and software stack testing and debugging. This includes test scripts development.
    • Root cause diagnosis: identify and analyze the root cause of system failures, isolating specific components or failure nodes to implement effective solutions with Engineering.

• Product Strategy & Vision
• Define and evolve the product vision and roadmap for GPU server platforms and AI infrastructure, aligned with company goals and market trends.
• Identify and prioritize high-impact opportunities in AI, ML, HPC, and cloud-native workloads.
• Cross-Functional Leadership
• Collaborate closely with engineering, hardware design, software, and operations teams to deliver innovative and scalable solutions.
• Partner with sales, marketing, and customer success to ensure successful product launches and customer adoption.
• Customer & Market Insights
• Engage with customers, partners, and industry experts to gather feedback and understand emerging needs in AI and GPU computing.
• Translate customer and business requirements into detailed product specifications and user stories.
• Conduct competitive analysis and market research to inform product positioning and differentiation.
• Go-to-Market & Enablement
• Support sales enablement with product training, collateral, and technical documentation.
• Innovation & Thought Leadership
• Stay current with advancements in GPU architectures, AI frameworks, and data center technologies.
• Represent the company at industry events, conferences, and customer briefings as a subject matter expert.
• Performance Monitoring & Optimization
• Track product performance using KPIs and customer feedback to guide continuous improvement.
• Analyze usage data and operational metrics to identify areas for optimization and innovation.

Qualifications:

• Bachelor or Master’s degree in computer science, Electrical Engineering, or Computer Engineering, with a minimum of 8 years of product management expertise.
• Familiar with server architecture and system level architecture (including GPU, CPU, memory, motherboards, PCIe, NVMe, NIC, OS, BIOS, BMC).  Knowledge in cluster architectures like AI and HPC is a plus.
• Project management skills, including the ability to plan, organize, and manage resources effectively.
• Demonstrated ability in technical presales or product marketing.
• Hands-on experience on hardware as well as on s