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Solutions Engineer

Own customer POCs from scoping to production handoff for AI infrastructure solutions

Own the technical strategy and execution of customer engagements from pre-sales discovery through deployment. Partner with Sales to architect AI infrastructure solutions for Frontier labs, startups, and enterprise ML teams. Deliver technical demonstrations, build reusable demos and reference architectures, and translate customer needs into product roadmap priorities.

Why This Role?

Build deep relationships with customer stakeholders and influence product roadmap priorities

Key Responsibilities

  • Own customer POCs including scoping, 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 for AI/ML workloads
  • Build reusable demos, reference architectures, and playbooks for customer engagements
  • Partner with product and engineering to translate customer needs into roadmap priorities
  • Map technical requirements to business outcomes during customer engagements

Requirements

  • BS in CS, EE, or related field or equivalent experience
  • 5+ years in a customer-facing technical role such as solutions architect or forward deployed engineer
  • Proficiency in one or more programming languages: Rust, Go, or Python
  • Strong understanding of AI/ML infrastructure including GPUs, distributed training, and inference serving
  • Experience with Kubernetes, Docker, and Slurm
  • Proven ability to run technical evaluations and influence outcomes in complex sales cycles

Required Skills

aimlkubernetesdockerrustgopythonAI/ML infrastructurecustomer engagementtechnical architecturesolution designcommunicationproduct collaboration

Keywords

Solutions EngineerAI infrastructurecustomer POCtechnical demonstrationsreference architecturesML teamsFrontier labsproduct roadmap
View Original Description from Ashby Job Boards

Original description from Ashby Job Boards

About the role 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. What you'll do - 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 What you'll need - 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 What we offer - Top-tier compensation structured to recognize and retain the best talent - Meaningful equity - Comprehensive medical, dental, vision, life, and disability insurance - Parental leave for all new parents, including adoptive and surrogate journeys - Flexible PTO - Paid Holidays - Relocation support   Equal Employment Opportunity We're an Equal Opportunity Employer and do not discriminate on the basis of any protected status under applicable law.

Salary Context

Similar Engineering roles on LokerDollar pay around $170k/yr (range $11.194k–999.999k/yr, n=492 active listings).

Hiring at Material Security

Material Security has 4 other active roles on LokerDollar and has been hiring here since Jul 3, 2026 — across Engineering, Data & Analytics.

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Source
Ashby Job Boards
Salary
Job Type
full time
Location
Remote
Category
Seniority
senior
Posted
May 18, 2026

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Frequently asked questions

Is Solutions Engineer at Material Security a remote job?
This role is based in Remote. See the listing for remote/onsite details.
What type of employment is Solutions Engineer at Material Security?
This is a full time position.
How do I apply?
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