Job Req ID: 29663Job Summary:Supermicro is seeking an experienced Sr. Product Manager to lead the definition, architecture, and delivery of next-generation AI infrastructure solutions.
This role is responsible for developing complete rack-scale AI systems based on the latest GPU platforms, integrating compute, storage, networking, power distribution, liquid cooling, mechanical design, and manufacturing into deployable data center solutions.
The ideal candidate is a systems thinker who understands not only servers, but also how an entire AI cluster is designed, built, validated, shipped, and deployed.
Essential Duties and Responsibilities:Key Responsibilities- Product Definition
- Define next-generation AI rack products based on NVIDIA, AMD, and future accelerator platforms.
- Translate customer requirements into complete rack-level solutions.
- Drive product roadmap and feature planning.
- Balance performance, cost, manufacturability, and deployment requirements.
- Rack Solution Architecture
Own the overall rack architecture, including:
- Rack mechanical layout
- GPU and CPU server integration
- Network topology and switch placement
- Cable routing and serviceability
- Rack level power architecture
- Liquid cooling architecture
- Rack serviceability and field maintenance
- Customer Solution Development
- Work directly with hyperscale and enterprise customers to define AI infrastructure solutions.
- Review customer requirements and recommend optimized rack architectures.
- Conduct technical design reviews and solution discussions.
- Support customer qualification and deployment activities.
- Cross-functional Leadership
Lead cross-functional collaboration with:
- Mechanical Engineering
- Electrical Engineering
- Thermal Engineering
- Manufacturing Engineering
- Networking Engineering
- Supply Chain
- Cost Engineering
- Validation
- Program Management
- Field Application Engineering
- Sales
Drive engineering decisions across multiple organizations.
- Product Delivery
- Own rack BOM definition and configuration management.
- Drive prototype builds and engineering validation.
- Coordinate mechanical fitting tests and system integration.
- Review packaging, logistics, and shipment readiness.
- Support manufacturing transfer and mass production.
Technical Knowledge
Candidates should have working knowledge in most of the following areas:
- AI server architecture
- Rack mechanical design
- Power distribution systems
- Liquid cooling
- High-speed networking
- Cable management
- Manufacturing processes
- Product lifecycle management
- Cost optimization
- Supply chain collaboration
- Data center deployment
Success Profile
The ideal candidate:
- Think at the system level rather than the component level.
- Can identify technical trade-offs and make balanced decisions.
- Is comfortable working with customers, engineering teams, and executive leadership.
- Can independently drive complex AI infrastructure programs from concept to production.
- Demonstrates ownership, technical depth, and strong execution.
Qualifications:Required Qualifications- Bachelor's or Master's degree in Engineering.
- 8+ years of experience in servers, storage, networking, or data center infrastructure.
- Strong understanding of AI infrastructure architecture.
- Experience with rack-level system integration.
- Familiarity with GPU server platforms.
- Experience working with cross-functional engineering teams.
- Excellent written and verbal communnication skills
Desired Qualifications:Experience with:
- NVIDIA HGX / MGX platforms
- GB200 / GB300
- AI factory deployments
- High-density AI racks (>100 kW)
- Direct Liquid Cooling (DLC)
- InfiniBand and Ethernet fabrics
- OCP/Open Rack standards
- Rack validation and manufacturing
Salary Range$155,000 - $185,000
The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.
