Senior Technical Alliance Engineer (AI Platform)

WEKA; Campbell (CA); Remote; USD 170,000 - 230,000; Full time

Benefits offered by this job

401(k)

Stock options available

Health insurance

Work from home opportunities

Professional development assistance

Travel reimbursement

Job summary

WEKA is seeking a Technical Alliance Engineer to join our team in the US, focusing on parallel file systems, storage tech, AI workloads, and performance benchmarking. You will craft compelling narratives, develop performance analyses, and engage customers to showcase our storage solutions.

This role involves collaborating with alliance partners on product integrations, cert testing, and field support, including webinars and hands-on workshops.

Qualifications

• Experience with AI/ML workflows and storage integration.
• Proficient with Lustre, IBM Spectrum Scale, WekaFS, BeeGFS.
• Hands-on with NVMe storage, GPUs, and high-performance networks.

Responsibilities

• Bridge engineering, product management, and marketing through technical content and benchmarking.
• Develop performance analyses and customer-facing demonstrations.
• Collaborate with alliance partners on product integration opportunities.
• Create technical presentations, whitepapers, and solution briefs.
• Support pre-sales with deep technical insights.

Skills

Parallel file systems

Storage technologies

AI technologies

Performance benchmarking

Technical content creation

Customer engagement

Benchmarking methodologies

NVIDIA technologies

Tools

FIO

IOzone

mdtest

IOR

Elbencho

SPECStorage

Kubernetes

RDMA

InfiniBand

Job description

• 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
• 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

Benefits

• Care package received upon hire: backpack, multiple shirts etc.
• 401(k)
• Stock options available
• Cellular phone plan coverage
• On and off-location meal perks
• Dental, vision, life & disability insurance
• Work-related travel reimbursement
• Flexible spending account
• Parental leave
• Professional development assistance
• A tech stack with Laptop or PC of choice, up to 2 monitors, office phone, headset
• Work from home opportunities
• Health insurance
• Career development
• At least one offsite event per quarter with spontaneous office gatherings regularly

Solid grasp of AI/ML workflows and how they interact with storage architecturesExperience working with NVIDIA GPU architectures, GPUDirect Storage (GDS), and Spectrum-X networkingExperience working in a storage lab environment, setting up test environments, and troubleshooting performance issuesExpertise 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 plusDeep knowledge of file system internals, storage networking, and data management technologiesStrong ability to create technical content and presentations for both technical and business audiencesExcellent communication skills and the ability to convey complex technical concepts in an easy-to-understand mannerHands-on experience with infrastructure setup and configuration. Strong knowledge of NVMe storage and its role in high-performance computing and AI/ML workloadsFamiliarity with RDMA, InfiniBand, RoCE, and high-speed networkingIf you are passionate about high-performance storage, benchmarking, and technical storytelling, we want to hear from you!Experience with containerized and cloud storage architecturesPrior experience working as a TME, Solutions Architect, or Storage Performance Engineer in a storage-focused company