Senior Technical Alliance Engineer (AI Platform)

Join our team as a Senior Technical Alliance Engineer, where you will leverage your expertise in parallel file systems, storage technologies, AI technologies, and performance benchmarking.

Responsibilities

• You will bridge the gap between engineering, product management, and marketing, showcasing the value of our technology integrations through technical content, benchmarking, and certification testing.
• Your responsibilities will include crafting compelling narratives, developing performance analysis, engaging with customers, and exploring product integration opportunities with alliance partners.
• You will also work hands-on with NVMe storage, AI/ML workloads, and high-performance file systems to optimize performance and validate use cases.
• Collaborate with alliance partners to explore product integration opportunities and jointly solve customer problems.
• Develop and execute benchmarking methodologies to measure and showcase the performance of parallel file system solutions.
• Create technical content such as whitepapers, blogs, presentations, and solution briefs to communicate the value of our technology.

Requirements

• Solid grasp of AI/ML workflows and how they interact with storage architectures
• Experience working with NVIDIA GPU architectures, GPUDirect Storage (GDS), and Spectrum-X networking
• Experience working in a storage lab environment, setting up test environments, and troubleshooting performance issues
• Expertise in storage benchmarking tools (e.g., FIO, IOzone, mdtest, IOR, Elbencho, SPECStorage, etc.)
• Strong understanding of parallel file systems (e.g., Lustre, IBM Spectrum Scale, WekaFS, BeeGFS, etc.)
• Strong knowledge of virtualization and containerization technologies. Hands-on experience with Kubernetes is a big plus
• Deep knowledge of file system internals, storage networking, and data management technologies
• Strong ability to create technical content and presentations for both technical and business audiences
• Excellent communication skills and the ability to convey complex technical concepts in an easy-to-understand manner
• Hands-on experience with infrastructure setup and configuration. Strong knowledge of NVMe storage and its role in high-performance computing and AI/ML workloads
• Familiarity with RDMA, InfiniBand, RoCE, and high-speed networking
• If you are passionate about high-performance storage, benchmarking, and technical storytelling, we want to hear from you!
• Experience with containerized and cloud storage architectures
• Prior experience working as a TME, Solutions Architect, or Storage Performance Engineer in a storage-focused company

Pay

USD 185,000 - 215,000