Sr. Technical Alliance Engineer (AI Platform)

Location: Campbell, California, United States; other location: San Francisco Bay Area. USA residents only.

Salary: $185,000–$215,000 annually, plus benefits.

Company

hirify.global develops cloud- and AI-native data infrastructure that transforms legacy data silos into high-performance data pipelines for AI training, inference, machine learning, and other compute-intensive workloads.

What you will do

• Work with alliance partners on product integration, certification, and validation opportunities.
• Develop and execute use-case-based benchmarking methodologies for parallel file system solutions.
• Set up and optimize NVMe storage, AI/ML workloads, high-performance file systems, NVIDIA GPU architectures, GPUDirect Storage, and Spectrum-X networking.
• Create whitepapers, blogs, presentations, solution briefs, webinars, and hands-on workshops.
• Collaborate with engineering on product feedback and performance tuning while supporting field teams and pre-sales engagements.
• Evaluate partner features, replicate customer scenarios, and analyze storage, AI/ML, and GPU-accelerated computing trends.

Requirements

• Strong knowledge of parallel file systems such as Lustre, IBM Spectrum Scale, hirify.globalFS, or BeeGFS.
• Expertise with storage benchmarking tools including FIO, IOzone, mdtest, IOR, Elbencho, or SPECStorage.
• Hands-on experience configuring infrastructure and storage lab environments, troubleshooting performance issues, and working with NVMe storage.
• Knowledge of AI/ML workflows, storage architectures, file system internals, storage networking, and data management.
• Experience with NVIDIA GPU architectures, GPUDirect Storage, Spectrum-X networking, virtualization, and containerization.
• Strong technical communication skills and the ability to explain complex concepts to technical and business audiences.

Nice to have

• Experience with containerized and cloud storage architectures.
• Familiarity with RDMA, InfiniBand, RoCE, and high-speed networking.
• Experience as a TME, Solutions Architect, or Storage Performance Engineer in a storage-focused company.
• Hands-on Kubernetes experience.

Culture & Benefits

• Work with high-performance storage, AI/ML, and GPU-accelerated technologies.
• Collaborative, customer-centric environment focused on accountability, innovation, and transparent communication.
• Medical, dental, vision, life insurance, 401(k), flexible time off, sick time, and applicable leave benefits.
• Competitive compensation and career growth opportunities.