Technology Enablement AI Engineer

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 amongst the fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer many new positions to the technology community.

We seek talented, passionate, and committed engineers, technologists, and business leaders to join us to drive accelerated growth and technology‑led innovation in the global marketplace.

We are seeking a highly skilled AI Engineer who lives and breathes new technology. This role is for someone who not only builds AI models but understands the full lifecycle of an AI system—from concept to deployment—and knows how to optimize it on cutting‑edge hardware. You will be responsible for designing, developing, and deploying high‑performance AI solutions that leverage Supermicro's state‑of‑the‑art server and cluster technologies.

The ideal candidate is passionate about the "newest trends in AI applications", and is driven to find the most efficient ways to run them at scale.

• Design, build, and maintain scalable, production‑grade AI systems, managing the complete MLOps lifecycle (data ingestion, preprocessing, training, validation, deployment, and monitoring).
• Profile, benchmark, and optimize AI/ML workloads (both training and inference) to extract maximum performance from Supermicro's advanced hardware platforms. By optimizing AI applications to run faster and more efficiently on Supermicro hardware, you directly contribute to sales and prove our technical leadership.
• Actively research and implement the latest AI trends, models, and frameworks (e.g., LLMs, diffusion models, new training techniques) to ensure our solutions remain best‑in‑class.
• Enable Customers:
  You will help build the "recipes" that allow our customers to successfully deploy their own AI solutions on our platforms.

• Proven experience (2+ years) as an AI Engineer, Machine Learning Engineer, or similar.
• Expertise in Python and deep proficiency with modern AI frameworks (e.g., PyTorch, Tensor Flow, JAX).
• Experience with the MLOps lifecycle, including tools like Kubernetes, Docker, Kubeflow, or similar.
• Understanding of NVIDIA GPUs and the CUDA ecosystem.
  
  Experience with performance profiling tools (e.g., Nsight, Tensor
  
  RT) is critical.
• Hands‑on experience with Large Language Models (LLMs), including fine‑tuning and efficient inference.
• A genuine curiosity and passion for new technology, with a proactive drive to learn and experiment.

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.