Staff Solution Architect
Indexed description
Job Summary
Supermicro is looking for Solution Architect to grow and expand the business opportunities of in-house storage solutions from a technical perspective. Your goal is to engage, develop, and expand our customer portfolio in the storage system solutions. In this role, you will be representing Supermicro in major trade shows and conferences to network and meet with clients, and further developing the opportunity pipelines. You will also participate in products and solutions design, ensure new products incorporated the expectations and requirements from customers to increase business opportunity.
This role will be based on our headquarters located in the San Jose, CA.
Essential Duties And Responsibilities
- Lead development and delivery of Supermicro’s Cloud and AI software solutions
- Architect and optimize cloud-native AI infrastructure for LLM training, inference, and AI application hosting.
- Engage with ecosystem partners (e.g., NVIDIA, VMware, OpenAI, Hugging Face) to enhance software integration.
- Develop and implement AI workload orchestration, automation, and cloud-native model serving infrastructure.
- Define and optimize performance, networking, and storage solutions for AI workloads.
- Provide guidance to technical field teams for cloud and AI software solutions customer engagements
- Lead development and delivery of sales and technical enablement
- Perform gap analysis of enablement needs for different personas (e.g. sales, technical, internal, customers, partners)
- Design, build and deliver sales and technical enablement material (documentation, presentations, web contents, diagrams, video) and sessions (live/recorded/gamified) for different personas, audience sizes and delivery modes (online/onsite)
- Develop and manage sales and technical enablement web portal
Qualifications
- 5+ years of experience in technical writing and enablement and/or solutions architecture in cloud computing, AI software and enterprise IT technologies
- Proven capability to design, develop and manage technical enablement material, such as documentation, presentations, web contents, diagrams, video, gamified simulations
- Proven capability to implement and operate content management systems
- Proven knowledge of
- Generative AI (LLMs, AI model deployment)
- Kubernetes, container orchestration,
- Virtualization (VMware, OpenStack, KVM)
- Cloud platforms (AWS, Azure, GCP)
- AI software stacks
- Deep understanding of solution architecture for
- Distributed AI workloads
- AI hardware acceleration (GPUs, TPUs)
- Cloud networking
- Software defined scale-out storage
- Familiarity with Linux, Python and/or shell scripting, Ansible and/or other hardware and software infrastructure automation and configuration management tools.
- Capability to deliver technical enablement sessions in various formats, such as live, recorded, and gamified, to various audience types and sizes, using onsite or online delivery methods.
- Experience engaging with Tier-1 telcos, cloud service providers, and enterprise AI adopters.
- Certification in AWS, GCP, Azure, Kubernetes, Ansible, Python or other relevant technologies is a bonus.
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
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