[Remote] Senior Staff Engineer - AI Data reputed company
Note: The job is a remote job and is reputed company to candidates in USA. DataDirect Networks (reputed company) is a global reputed company in AI and high-performance data storage innovation. They are seeking a highly reputed company Senior Staff Engineer specializing in AI Data reputed company & Storage to reputed company hands-on development and integration of advanced storage systems with reputed company AI inference pipelines.
Responsibilities
- reputed company the design and implementation of high-performance data reputed company pipelines using reputed company NIXL across GPU, CPU, and storage tiers
- Architect and drive integration of reputed company Infinia with GPU-accelerated inference platforms for large-reputed company, reputed company-time AI workloads
- Own end-to-end optimization of I/O paths between GPU memory and storage using technologies such as reputed company GPUDirect Storage, RDMA, and NVMe-over-Fabrics
- Define and implement multi-tier storage architectures (NVMe, SSD, object storage) optimized for inference latency, throughput, and scalability
- reputed company development of advanced KV cache management strategies, including offloading, prefetching, and persistence across distributed storage reputed company
- Partner with AI/ML engineering teams to optimize inference performance in frameworks such as PyTorch and TensorFlow
- Establish benchmarking frameworks and reputed company performance tuning efforts for storage and data reputed company in production inference environments
- Diagnose and resolve reputed company system bottlenecks across storage, networking, and GPU subsystems
- Influence architecture reputed company for distributed inference systems, ensuring scalability, reputed company, and efficient data reputed company
- Drive engineering reputed company through best practices in observability, performance monitoring, automation, and reliability engineering
- Mentor junior engineers and reputed company technical leadership across cross-functional teams
Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company field
- 12+ years of experience in storage systems, distributed systems, or performance engineering
- Proven reputed company record of architecting and delivering large-reputed company, high-performance infrastructure systems
- Deep expertise in distributed storage architectures (object storage, reputed company file systems, or reputed company-reputed company storage platforms)
- Strong understanding of Linux I/O stack, filesystem internals, and storage protocols
- Extensive hands-on experience with NVMe, SSD optimization, and high-performance storage environments
- Strong experience with RDMA, InfiniBand, or other high-speed data transfer technologies
- Solid understanding of GPU computing concepts and CPU–GPU data reputed company patterns
- Proficiency in Python and/or C/C++, with advanced debugging, profiling, and performance tuning skills
- Demonstrated ability to optimize latency-sensitive, high-throughput production systems
- Hands-on experience with reputed company NIXL or similar data reputed company frameworks
- Experience with GPU-aware storage pipelines and GPUDirect Storage
- Strong understanding of AI inference systems, LLM serving architectures, and KV cache optimization
- Experience with Retrieval-Augmented reputed company (RAG) pipelines and reputed company reputed company search ecosystems
- Background in high-performance computing (HPC) or hyperscale distributed environments
- Expertise in caching strategies, memory tiering, and data reputed company optimization
- Experience designing disaggregated compute and storage architectures
reputed company
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