Sr. Solutions Architect​/Sales Engineer-AI Infrastructure; GPU; West Coast

Liqid is doing for AI infrastructure what VMware did for x86 servers, bringing the agility of the cloud to the on-prem datacenter to dynamically allocate and share GPUs, memory, and other resources. This functionality is critical in running AI and advanced-data workloads in production (a.k.a. Inference). Liqid Matrix software enables global organizations to accelerate the adoption of AI, HPC and VDI by unlocking the bottleneck of GPU utilization and availability through dynamic pooling and sharing of AI resources for higher performance with less total cost, less power, and less hardware.

AI infrastructure is being rebuilt in real time. GPUs are scarce and expensive, HBM is supply-constrained, and the economics of inference are forcing every serious operator to rethink how they architect compute. Liqid is one of the few credible answers at scale: we pool GPU and memory resources and assign them in software, so customers get 10x the tokens per second, 5x the tokens per dollar, and 2x the tokens per watt out of the infrastructure they already own.

AI infrastructure is being rebuilt in real time. GPUs are scarce and expensive, HBM is supply-constrained, and the economics of inference are forcing every serious operator to rethink how they architect compute. Liqid’s pooling platform is one of the few credible answers to that problem at scale.

This is a hands-on, customer-facing position. You will partner closely with account executives on discovery, design, PoCs, RFP responses, and executive technical conversations. You will own the technical strategy across your territory from early qualification through technical close, reporting to the SVP of Worldwide Solutions Engineering and working directly with a small, senior SA team. The location is primarily California with west mid- west travel.

The right person can whiteboard a GPU inference cluster with a customer’s principal engineer, run a disciplined PoC against agreed success criteria, and translate the technical outcome into business language that resonates with a CFO, CIO, or program office.

Customers will rely on this role to help them rethink GPU infrastructure as HBM, power, and utilization become primary constraints. The Solutions Architect translates Liqid’s capabilities into practical customer architectures, turns ambiguous requirements into deliverable solutions, and feeds field insight back into the evolution of the product.

• Own the technical relationship for accounts across your territory from first discovery through technical close to deployment.
• Partner with your AE on every meaningful opportunity: technical discovery, solution design, PoC scoping, RFP/RFI response, and executive technical engagement.
• Run technical discovery that gets to the real requirement GPU utilization targets, workload mix, fabric constraints, and the economics behind the decision not just the stated spec.
• Be accountable for technical win rate and PoC conversion in your territory, with clear visibility into where deals are won, lost, or stuck.
• PoC’s will be delivered physically with Liqid hardware at a customer or partner venue. Also via a remote lab environment, hosted by Liqid.
• Full ownership of the PoC process is expected including installation, configuration and testing.
• Scope, run, and win proofs of concept against explicit, customer-agreed success criteria and drive them to a decision.
• Build and deliver compelling demos of Liqid Matrix tailored to the workload in front of you: AI training, inference at scale, HPC, and virtualization / VDI.
• Contribute to and reuse the team’s library of reference architectures, sizing tools, TCO models, and PoC playbooks…