Solutions Engineer

Material Group•San Francisco, CA

About The Position

Own the technical strategy, execution, and delivery of customer engagements from pre-sales discovery through deployment. You'll partner with Sales to architect AI infrastructure solutions for Frontier labs, startups, and enterprise ML teams, translating customer requirements into production workloads.

Requirements

BS in CS, EE, or related field, or equivalent experience
5+ years in a customer-facing technical role: solutions architect, forward deployed engineer, or product management
Proficiency in one or more programming languages: Rust, Go, or Python
Strong understanding of AI/ML infrastructure: GPUs, distributed training, inference serving
Experience with Kubernetes, Docker, and Slurm
Strong understanding of training, fine-tuning, and inference
Proven ability to run technical evaluations and influence outcomes in complex sales cycles
Excellent communication skills: can explain infrastructure and model behavior clearly to both technical and executive audiences
High ownership and comfort with ambiguity, with strong prioritization across multiple deals and customer threads

Responsibilities

Own customer POCs: scope, success metrics, architecture, timeline, and production handoff
Deliver technical demonstrations tailored for engineering leaders and executive audiences
Architect solutions across training, fine-tuning, and inference
Map technical requirements to business outcomes
Build deep relationships with customer stakeholders
Build reusable demos, reference architectures, and playbooks
Partner with product and engineering to translate customer needs into roadmap priorities