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Technical Alliance Engineer, AI Platform & Solutions at Jobgether. This position is posted by Jobgether on behalf of . WEKA. . We are currently looking for a . Technical Alliance Engineer, AI Platform & Solutions. in . United States. .. This role is perfect for a technically skilled engineer passionate about AI, storage, and high-performance computing. You will act as a bridge between engineering, product management, and marketing, demonstrating the value of advanced storage solutions through benchmarking, certification, and customer engagement. Operating in a fast-paced, collaborative environment, you will optimize performance for AI/ML workloads, manage test labs, and work with global partners to validate and integrate solutions. The position offers the opportunity to influence product strategy, showcase technical expertise, and drive adoption of cutting-edge technologies in AI, NVMe storage, and GPU-accelerated computing.. Accountabilities. In this role, you will:. ·         Collaborate with technical alliance partners to explore integration opportunities and jointly solve customer challenges.. ·         Lead partner certification, validation, and benchmarking initiatives, focusing on AI/ML and high-performance workloads.. ·         Optimize storage and parallel file system performance, leveraging NVMe storage, GPU architectures, and high-speed networking technologies.. ·         Create technical content, including whitepapers, blogs, presentations, and solution briefs to communicate product value.. ·         Maintain and manage test lab environments for replication of customer scenarios and performance validation.. ·         Support field teams with technical expertise for pre-sales engagements and customer workshops.. ·         Analyze market trends and competitor solutions to refine messaging and inform product strategy.. The ideal candidate will have:. ·         Strong understanding of parallel file systems (e.g., Lustre, IBM Spectrum Scale, WekaFS, BeeGFS).. ·         Hands-on experience with NVMe storage, AI/ML workflows, and high-performance computing workloads.. ·         Expertise in storage benchmarking tools (e.g., FIO, IOzone, mdtest, IOR, SPECsfs).. ·         Familiarity with NVIDIA technologies, including GPU architectures, GPUDirect Storage (GDS), and Spectrum-X networking.. ·         Experience in storage lab environments, setting up test environments, and troubleshooting performance issues.. ·         Ability to create technical content and deliver presentations to both technical and business audiences.. ·         Knowledge of virtualization, containerization, and Kubernetes (a plus).. ·         Excellent communication, problem-solving, and collaborative skills.. Nice to Have:. ·         Experience with containerized or cloud storage architectures.. ·         Knowledge of RDMA, InfiniBand, RoCE, and other high-speed networking technologies.. ·         Previous experience as a TME, Solutions Architect, or Storage Performance Engineer in a storage-focused company.. Company Location: United States.