Senior AI Infrastructure Engineer — Production Systems

DDN; San Francisco (CA); On-site; USD 150,000 - 250,000; Full time

Job summary

DDN is hiring an AI Engineer to work on critical infrastructure for AI systems in San Francisco. This role focuses on optimizing performance across GPU and CPU pathways and building systems that efficiently serve AI workloads.

The ideal candidate has a strong background in production AI systems and experience with distributed systems. A PhD is preferred but not mandatory if substantial real-world experience is demonstrated.

The salary range for this position is $150,000 - $250,000, reflecting the critical nature of the work.

Qualifications

• Experience building or optimizing production AI systems.
• Understanding of how inference performance interacts between compute, memory, and storage.
• Proven ownership in areas like model serving, caching, or distributed performance.

Responsibilities

• Build and optimize LLM serving and inference systems.
• Improve performance across GPU and CPU pathways.
• Solve engineering problems at the intersection of AI and high-performance systems.

Skills

Production AI systems optimization

GPU and CPU performance tuning

Distributed systems experience

Memory and storage efficiency

Architecture decisions and implementation

Education

PhD or equivalent experience in AI or related field

Job description

DDN is hiring an AI Engineer to work on critical infrastructure for AI systems in San Francisco. This role focuses on optimizing performance across GPU and CPU pathways and building systems that efficiently serve AI workloads.

The ideal candidate has a strong background in production AI systems and experience with distributed systems. A PhD is preferred but not mandatory if substantial real-world experience is demonstrated.

The salary range for this position is $150,000 - $250,000, reflecting the critical nature of the work.