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Описание вакансии
Текст:
TL;DR
Staff AI Product Engineer (AI platform/distributed systems): Defining and building the architecture, APIs, and systems underpinning an integrated GenAI cloud platform with an accent on scalable AI services, developer experience, reliability, and cost visibility. Focus on designing control plane and data plane separation, cell-based architecture, provisioning contracts, dependency-ordered service composition, and durable cross-team technical standards.
Location: Houston, New York, San Francisco, or Seattle, United States
Base salary: $220,000–$330,000 USD per year, with potential bonus, equity, and/or commission programs.
Company
Nscale is building a vertically integrated GenAI cloud platform spanning data centers, software, and AI applications.
What you will do
- Set technical direction for the AI product platform across 2–4 teams.
- Drive architectural decisions covering service boundaries, API contracts, data models, and platform standards.
- Lead systemic improvements in performance, reliability, cost efficiency, and developer experience.
- Define platform patterns, provisioning contracts, dependency ordering, versioning, and compatibility policies.
- Coach Senior AI Product Engineers and influence technical strategy with product leadership and engineering managers.
- Evaluate build-versus-buy decisions and represent product engineering in architecture reviews.
Requirements
- 8–12 years of software engineering experience and experience setting technical direction across teams.
- Deep expertise in API design, platform engineering, and large-scale distributed systems.
- Experience designing cloud services with control plane/data plane separation and cell-based architecture.
- Experience building developer-facing platforms, provisioning contracts, dependency-ordered service composition, and self-service deployment workflows.
- Production ownership at scale, including on-call responsibility, SLOs, error budgets, incident reviews, and systemic reliability improvements.
- Ability to influence without formal authority and establish durable technical standards across an organization.
Nice to have
- Experience with SDK and Terraform provider strategies, plugin systems, API versioning, and client libraries.
- Experience building AI/ML product platforms, including inference APIs, fine-tuning experiences, model management, and evaluation tooling.
- Experience with self-service paved-path onboarding, GPU cloud platforms, or ML compute platforms with strict SLAs.
Culture & Benefits
- Culture centered on innovation, ownership, accountability, transparency, collaboration, adaptability, and resilience.
- Medical, dental, and vision benefits.
- Flexible paid time off and parental leave.
- Retirement plan participation.
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