Location: Campbell, CA
About the role: We are seeking a
Technical Alliance Engineer with deep expertise in
parallel file systems, storage technologies, AI technologies, and performance benchmarking to join our team. As a PM, you will bridge the gap between engineering, product management, and marketing by demonstrating the value of our technology integrations through technical content, benchmarking, and certification testing. You will be responsible for crafting compelling narratives, developing performance analysis, and engaging with customers to highlight the advantages of our storage solutions.
What you'll do: - Work with alliance partners to explore product integration opportunities to jointly solve customer problems.
- Work on partner certification and validation.
- Develop and execute benchmarking methodologies to measure and showcase the performance of our parallel file system solutions. Focus more on use case-based benchmarks to highlight product differentiation
- Work hands-on with NVMe storage, AI/ML workloads, and high-performance file systems to optimize performance and validate use cases.
- Leverage experience with NVIDIA technologies including GPUDirect Storage (GDS), GPU architectures, Spectrum-X networking, and accelerator architectures to enhance storage performance and AI/ML workloads.
- Create technical content such as whitepapers, blogs, presentations, and solution briefs to communicate the value of our technology.
- Collaborate with engineering teams to provide feedback on product features and performance tuning.
- Engage with customers and partners to deliver technical presentations, webinars, and hands-on workshops.
- Evaluate partner product features and replicate customer scenarios.
- Support field teams by providing deep technical insights and assisting in pre-sales engagements.
- Analyze market trends in storage, NVMe, AI/ML workloads, and GPU-accelerated computing to refine messaging and competitive positioning.
Required Qualifications:- Strong understanding of parallel file systems (e.g., Lustre, IBM Spectrum Scale, WekaFS, BeeGFS, etc.).
- Expertise in storage benchmarking tools (e.g., FIO, IOzone, mdtest, IOR, Elbencho, SPECStorage, etc.).
- Hands-on experience with infrastructure setup and configuration. Strong knowledge of NVMe storage and its role in high-performance computing and AI/ML workloads.
- 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.
- Deep knowledge of file system internals, storage networking, and data management technologies.
- Experience working in a storage lab environment, setting up test environments, and troubleshooting performance issues.
- 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.
- Strong knowledge of virtualization and containerization technologies. Hands-on experience with Kubernetes is a big plus.
Preferred Qualifications:- Experience with containerized and cloud storage architectures.
- Familiarity with RDMA, InfiniBand, RoCE, and high-speed networking.
- Prior experience working as a TME, Solutions Architect, or Storage Performance Engineer in a storage-focused company.
Why Join Us?- Work with cutting-edge storage technologies in high-performance computing, AI/ML, and GPU-accelerated environments.
- Be a key contributor in shaping technical messaging and strategy for a leading parallel file system company.
- Collaborate with industry leaders and innovative teams in a dynamic environment.
- Competitive compensation, benefits, and opportunities for career growth.
If you are passionate about high-performance storage, benchmarking, and technical storytelling, we want to hear from you!
