Sr. Manager, Solution Management

Support Revolution

San Jose (CA)

On-site

USD 200,000 - 230,000

Full time

14 days+

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Job summary

Supermicro in San Jose, CA seeks a Sr. Manager of Solution Management to lead a virtual team of engineers and FAEs in delivering data center AI/HPC solutions.

You will collaborate with solution architects and product managers to design scalable systems, recruit top talent, and drive pre- to post-sales execution while ensuring high-quality deployments.

Qualifications

  • Bachelor of Science in an engineering field complemented by advanced degree is preferred.
  • Deep knowledge of data center infrastructures incl. Cloud, HPC, AI/ML.

Responsibilities

  • Lead engineering teams to design and deploy AI/HPC data center solutions.
  • Manage integration, testing and deployment across customer projects.
  • Recruit and grow solution engineers/architects; guide pre-sales to post-sales activities.

Skills

Engineering leadership
Data center architectures
AI/HPC infrastructure
GPU deployments
Large-scale project mgmt

Education

BSEE/CS, MSEE/CS with 10+ years experience

Job description

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Location: San Jose, California, United States

About Supermicro:

As a global leader in server technologies, Supermicro has been growing extremely fast in many key markets such as AI, HPC, Cloud Computing, Storage, etc. To meet the market demand, Supermicro is constantly developing end-to-end turn-key AI/HPC solutions with full HW/SW stacks completely integrated and tested.

Job Summary:

The Sr. Manager, Solution Management collaborates a virtual team of product engineers, design engineers, system engineers and FAEs to develop best in class solutions for a global enterprise customer base. The solutions include integrated systems that scale into large scale AI/HPC clusters, Scale-out Storage clusters, Public Cloud Infrastructures, etc. The role provides support to large and complex projects for global enterprises, customers and cloud service providers

Essential Duties and Responsibilities:

Roles and responsibilities

  • Lead an engineering team to design and develop data center solutions based on customer applications such as AI, HPC, Cloud and Scale-out storage, etc.
  • Work with solution architects, product managers, engineers and play a key role in implementation of data center solutions and growing data center revenue.
  • Manage the technical aspects of the solution integration, testing, and implementation of customer technical requirements.
  • Provide technical instructions to integration, testing and deployment teams
  • Play a key role in technical review of pre-sales engineering to post sales integration, testing and deployment, responsible for overall build quality and technical soundness of the customer projects
  • Responsible for recruiting talented solution engineers and architects and expanding the teams capability to meet business growth targets.
  • Responsible for study and training of latest AI and data center technologies to enhance teams overall technical skill and expertise.
  • Responsible for developing team plans and strategies to meet competitions.
Qualifications:
  • BSEE/CS, MSEE/CS with 10+ years relevant experience or equivalent preferred
  • Deep knowledge in data center infrastructures such as Cloud, HPC, AI/ML infrastructures
  • Deep knowledge in data center networking, data center power and cooling technologies
  • Strong knowledge of server technologies, capable of working with CSPs and enterprises to define AI solutions and data center infrastructures
  • Hands-on experience with Nvidia and AMD GPU based deployments are desirable
  • Solid experience in large scale data center projects from design to deployment
  • Demonstrates strong organizational and communication skills and the capability of managing very large and complex projects
  • Strong initiative and ability to work in a self-directed environment
  • Strong ability to lead engineering teams and grow team’s capabilities
Salary Range

$200,000 - $230,000

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.

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