Description

Design and operationalize large-scale GPU hardware and software solutions for enterprise customers.

Responsibilities

• Partner with sales leads to identify opportunities and secure business for GPU infrastructure products.
• Act as the primary technical contact through the full lifecycle of developing and deploying large-scale GPU cloud infrastructure.
• Lead technical customer meetings, including project reviews, debugging sessions, and new technology introductions.
• Build proofs of concept addressing critical business needs in networking and compute infrastructure.
• Prepare and deliver technical content, including presentations and workshops, to customers.

Required Skills

• 7+ years of Solution Engineering or Sales Engineering experience working directly with partners and customers.
• Experience crafting and deploying large-scale cluster environments.
• Practical expertise in data center design, development, and execution for AI and HPC.
• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent experience.
• Strong time management skills with the ability to balance multiple tasks and communicate clearly through documents and presentations.

Preferred Skills

• Familiarity with GPU hardware, networking components (Ethernet/InfiniBand), and storage elements of large-scale AI/HPC clusters.
• Knowledge of GPU systems management technologies such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager.
• Hands-on experience with cluster administration and orchestration (SLURM, Kubernetes).

Key Skills

Education

Bachelor's degree