VP, Hardware Engineering

Location: San Jose, California, United States

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.

Supermicro is seeking a Technology Enablement Engineer to join our high-performance team at our Global Headquarters in San Jose.

As a leader in Application-Optimized Total IT Solutions, #Supermicro continues to experience unprecedented global expansion. This role is dedicated to accelerating the deployment of world-class AI infrastructure by optimizing the intersection of HW architecture and SW stacks.

The Role:

You will serve as a technical linchpin, translating complex AI/ML requirements into optimized Supermicro configurations. Your primary focus will be the enablement and optimization of high-performance software environments for Enterprise and Hyperscale customers.

Core Technical Focus:

• GPU Software Stacks:
  Expert-level navigation of the NVIDIA CUDA and AMD ROCm ecosystems to ensure seamless hardware-software integration.
• AI Frameworks:
  Deep engagement with PyTorch, Tensor Flow, and JAX to validate and optimize performance on Supermicro’s GPU-optimized servers.
• System Enablement:
  Working with the latest NVIDIA and AMD platforms to deliver turnkey AI clusters.

Key Responsibilities:

• Solution Architecture:
  Design end-to-end AI infrastructure solutions incorporating high-speed networking (Infini Band/Ethernet) and advanced GPU topologies.
• Performance Optimization:
  Benchmark and tune AI software stacks to maximize throughput and minimize latency for LLM training and inference.
• Strategic Enablement:
  Collaborate with Engineering and Product Management to influence the roadmap for AI-optimized Building Block Solutions®.
• Technical Training:
  Educate internal teams and global customers on the deployment of containerized AI workloads and orchestration.

• Bachelor's degree in electrical or computer engineering, or with relevant experience;
  Master’s degree will be a plus
• 1+ years of experience in hardware or solutions integration is highly preferred
• Expertise:
  Hands-on experience with CUDA and/or ROCm development and optimization.
• Background:
  Strong understanding of Linux environments, containerization (Docker/Kubernetes), and distributed computing.
• Communication:
  Ability to distill complex GPU architecture concepts into actionable business strategies for C-suite and engineering stakeholders.

At Supermicro, you are at the epicenter of the AI revolution. We offer a fast-paced, engineering-first culture where your work directly impacts the most advanced data centers in the world.

$97,000 - $101,000

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.

Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.