Technical Alliance Engineer, AI Platform & Solutions

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.

Requirements

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.

Benefits

This position offers:

• Competitive compensation aligned with experience and qualifications.
• Flexible remote work opportunities within the United States.
• Engagement with cutting-edge AI/ML, GPU, and storage technologies.
• Opportunities to collaborate with industry-leading partners and customers.
• Professional growth through technical challenges, cross-functional projects, and knowledge sharing.
• Participation in a dynamic, fast-paced, and innovative work environment.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!