Sr. Technical Alliance Engineer – AI Platform - Campbell, CA

Weka; Campbell (CA); On-site; USD 185,000 - 215,000; Full time

Job summary

WEKA in Campbell, CA is seeking a Sr. Technical Alliance Engineer for the AI Platform to bridge engineering, product, and marketing—driving technical content, benchmarking, and certification testing.

You will craft narratives, develop performance analyses, and engage customers to showcase storage solutions; work with NVMe storage, AI/ML workloads, and NVIDIA technologies. This role emphasizes collaboration with alliance partners, hands-on benchmarking, and pre-sales support, leveraging GPUDirect

Qualifications

• Experience with parallel file systems and storage architectures.
• Proficiency with storage benchmarking tools (FIO, IOzone, etc.).
• Hands-on infrastructure setup and NVMe storage expertise.
• Familiarity with AI/ML workloads and GPU storage integration.
• Experience with NVIDIA GPUs, GPUDirect Storage and Spectrum-X networking.

Responsibilities

• Collaborate with alliance partners to explore product integration opportunities.
• Work on partner certification and validation.
• Develop benchmarking methodologies to measure performance of parallel file system solutions.
• Optimize performance with NVMe storage and AI/ML workloads.
• Leverage GPUDirect Storage and Spectrum-X networking to enhance storage performance.
• Create technical content such as whitepapers, blogs, and presentations.
• Engage with customers and partners via webinars and workshops.
• Provide deep technical insights to field teams.
• Analyze market trends to refine messaging.

Skills

Parallel file systems

Storage benchmarking

AI/ML workloads

NVMe storage

GPUDirect Storage (GDS)

GPU architectures knowledge

Technical content creation

Public speaking / presentations

Kubernetes knowledge

Tools

FIO

IOzone

mdtest

IOR

Elbencho

SPECStorage

Kubernetes

Job description

The Future of AI is Still Being Written.
This is Your Chance to Shape It.

Sr. Technical Alliance Engineer – AI Platform

About The Position

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud- and AI-native software solution you can deploy anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization, making AI model training and inference, machine learning, and other compute-intensive workloads run faster, more efficiently, and with less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

Location: Campbell, CA

About the role:

We are seeking aTechnical 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.

The WEKA Way:

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned you don’t meet all the qualifications? Don’t let that stop you from applying.
WEKA is committed to building a diverse, inclusive, and authentic workplace. Studies show that underrepresented groups may hesitant to apply if they don’t meet every qualification, but if you’re excited about this role, we encourage you to apply—you may be the right fit for this or other opportunities. WEKA is an equal opportunity employer and prohibits discrimination or harassment of any kind, providing fair opportunities to all employees and applicants regardless of background or protected status.

USA Residents Only: The Total Compensation hiring wage range for this position, which the Company reasonably and in good faith expects to pay for the position in the specified geographic areas or locations, is $185,000-215,000. Final compensation will be dependent on various factors relevant to the position and candidate, such as geographical location, candidate qualifications, certifications, relevant job-related work experience, education, skill set, and other relevant business and organizational factors, consistent with applicable law. In addition, the position may include some of the following comprehensive benefits such as Medical, Dental, Vision, Life, 401(K), Flexible Time Off (FTO), sick time, leave of absence as per the FMLA, and other relevant leave laws.