Senior Solutions Architect - AI, HPC, & Lustre
Based in the United StatesFull-TimeSenior
Salary197,200 - 255,200 USD per year OTE
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Job Details
- Experience
- 7+ years
- Required Skills
- PyTorchTensorflow
Requirements
- 7+ years of experience in solutions architecture, pre-sales engineering, or customer-facing technical roles focused on AI, HPC, or high-performance data systems
- Hands-on experience with parallel file systems (Lustre strongly preferred) or HPC storage architectures such as BeeGFS or similar technologies
- Strong understanding of GPU-accelerated workloads and ecosystems (e.g., NVIDIA, CUDA, DGX, distributed training environments)
- Experience with AI/ML frameworks such as PyTorch, TensorFlow, or equivalent tools
- Deep knowledge of high-performance storage systems, data throughput optimization, and large-scale distributed computing architectures
- Familiarity with HPC networking technologies such as InfiniBand, RDMA, and high-speed Ethernet
- Ability to translate complex technical concepts into clear business value for enterprise stakeholders
- Strong collaboration, communication, and customer advisory skills across technical and executive audiences
Responsibilities
- Lead advanced customer engagements focused on AI, machine learning, analytics, and high-performance computing (HPC) architecture design
- Assess customer environments to identify performance bottlenecks across GPU clusters, data pipelines, and storage infrastructures
- Design and present scalable architectures for AI training, distributed computing, and HPC workloads using parallel file systems such as Lustre
- Architect end-to-end storage solutions spanning on-prem environments and NeoCloud / AI hyperscaler GPU platforms, ensuring seamless high-performance data access
- Provide technical guidance on high-throughput storage systems, InfiniBand/RDMA networking, and GPU-integrated infrastructures
- Support proof-of-concepts, benchmarks, demos, and pilot environments to validate performance and scalability at scale
- Collaborate with sales and field teams to shape account strategies and drive pipeline growth in AI and HPC infrastructure opportunities
- Contribute to RFP/RFI responses and provide insights to influence future product and platform direction
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