[Remote] Senior/Staff AI Engineer
Note: The job is a remote job and is open to candidates in USA. DDN is a company known for its high-performance infrastructure, and they are seeking a Senior/Staff AI Engineer to build the AI infrastructure layer that supports production models. This role focuses on optimizing systems for AI performance, including storage and distributed systems, ensuring efficiency and scalability in real-world applications.
Responsibilities
• Build and optimize LLM serving and inference systems for production environments
• Improve performance across GPU and CPU pathways
• Work on KV cache, memory, storage, and throughput bottlenecks
• Design and scale systems that support RAG and retrieval-heavy AI workloads
• Contribute to infrastructure where storage architecture and systems efficiency materially affect AI performance
• Solve engineering problems at the intersection of AI, high-performance systems, and distributed infrastructure
Skills
• An engineer who has spent meaningful time building or optimizing production AI systems, not just experimenting with models
• Someone who understands how inference performance is shaped by the interaction between compute, memory, storage, and serving architecture
• Deep hands-on experience working close to the systems layer — for example, improving how workloads run across GPU and CPU resources, reducing bottlenecks, or tuning infrastructure for better throughput and latency
• Evidence of real ownership in areas like model serving, retrieval, caching, storage, or distributed performance, rather than purely application-layer AI work
• The ability to move comfortably between architecture decisions and hands-on implementation, especially in environments where efficiency and scale matter
• A background that suggests you can operate in technically demanding environments, whether that comes from AI infrastructure, high-performance systems, storage platforms, or adjacent distributed systems work
• PhD preferred, but far less important than having built serious systems in the real world
Company Overview
• DDN is the world’s leading AI and data intelligence company, powering the world’s most demanding AI workloads by keeping GPUs fed, efficient, and productive—at massive scale—so organizations can train, checkpoint, and infer faster with less footprint and power while achieving tremendous ROI from their AI investments. It was founded in 1998, and is headquartered in Chatsworth, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.ddn.com.
Company H1B Sponsorship
• DDN has a track record of offering H1B sponsorships, with 3 in 2026, 5 in 2025, 3 in 2024, 2 in 2023, 4 in 2022, 3 in 2021. Please note that this does not guarantee sponsorship for this specific role.
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Responsibilities
• Build and optimize LLM serving and inference systems for production environments
• Improve performance across GPU and CPU pathways
• Work on KV cache, memory, storage, and throughput bottlenecks
• Design and scale systems that support RAG and retrieval-heavy AI workloads
• Contribute to infrastructure where storage architecture and systems efficiency materially affect AI performance
• Solve engineering problems at the intersection of AI, high-performance systems, and distributed infrastructure
Skills
• An engineer who has spent meaningful time building or optimizing production AI systems, not just experimenting with models
• Someone who understands how inference performance is shaped by the interaction between compute, memory, storage, and serving architecture
• Deep hands-on experience working close to the systems layer — for example, improving how workloads run across GPU and CPU resources, reducing bottlenecks, or tuning infrastructure for better throughput and latency
• Evidence of real ownership in areas like model serving, retrieval, caching, storage, or distributed performance, rather than purely application-layer AI work
• The ability to move comfortably between architecture decisions and hands-on implementation, especially in environments where efficiency and scale matter
• A background that suggests you can operate in technically demanding environments, whether that comes from AI infrastructure, high-performance systems, storage platforms, or adjacent distributed systems work
• PhD preferred, but far less important than having built serious systems in the real world
Company Overview
• DDN is the world’s leading AI and data intelligence company, powering the world’s most demanding AI workloads by keeping GPUs fed, efficient, and productive—at massive scale—so organizations can train, checkpoint, and infer faster with less footprint and power while achieving tremendous ROI from their AI investments. It was founded in 1998, and is headquartered in Chatsworth, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.ddn.com.
Company H1B Sponsorship
• DDN has a track record of offering H1B sponsorships, with 3 in 2026, 5 in 2025, 3 in 2024, 2 in 2023, 4 in 2022, 3 in 2021. Please note that this does not guarantee sponsorship for this specific role.
Apply To This Job