Sr. Solution Manager

Super Micro Computer, Inc.•San Jose, CA

29d

About The Position

Supermicro is looking for an innovative and strategic GPU System Solution 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 Solution 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.

Requirements

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 software (Linux, configuring servers, scripting languages like Python and Linux Shell).
Exceptional communication and presentation skills with storytelling abilities that drive customer engagement, adoption, and market growth.
Ability to build and demonstrate proof-of-concept that meets or exceeds customer business needs.

Nice To Haves

Experience in developing server products (Hardware, Firmware or Software) is a plus.

Responsibilities

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:â¯identify and analyze the root cause of system failures, isolating specific components or failure nodes to implement effective solutions with Engineering.
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.
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.
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.
Support sales enablement with product training, collateral, and technical documentation.
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.
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.