Principal Software Engineer Scale LLM Memory and Storage Systems
Job in
Coos Bay, Coos County, Oregon, 97458, USA
Listed on 2025-12-25
Listing for:
NVIDIA
Full Time
position Listed on 2025-12-25
Job specializations:
-
Software Development
Software Engineer, AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Employer Industry: Technology - Artificial Intelligence and Machine Learning
Why consider this job opportunity- Salary range from $272,000 to $425,500
- Opportunity for equity and comprehensive benefits package
- Work with some of the most forward‑thinking and hardworking individuals in the technology sector
- Chance to lead and mentor a team of engineers in a fast‑growing specialized engineering environment
- Engage in innovative projects that push the boundaries of AI and memory management
- Design and evolve a unified memory layer for large‑scale LLM inference across multiple memory types
- Architect and implement integrations with leading LLM serving engines focusing on KV‑cache management
- Co‑design interfaces and protocols for efficient KV‑cache sharing in disaggregated cluster environments
- Collaborate closely with GPU architecture and networking teams to enhance low‑latency memory access
- Mentor engineers and represent the team in technical reviews and external forums
- Master's degree, PhD, or equivalent experience
- 15+ years of experience in building large‑scale distributed systems or ML systems infrastructure in C/C++ and Python
- Deep understanding of memory hierarchies and experience with multi‑tier system design
- Knowledge of distributed caching or key‑value systems optimized for low latency and high concurrency
- Strong skills in profiling and optimizing systems across CPU, GPU, memory, and network
- Contributions to open‑source LLM serving or systems projects focusing on KV‑cache optimization
- Experience in designing unified memory or storage layers in enterprise or hyperscale environments
- Publications or patents related to LLM systems or memory‑disaggregated architectures
#Artificial Intelligence #Machine Learning #Technology Jobs #Competitive Salary #Engineering Leadership
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