1 день назад
Infrastructure Engineer (AI)
180 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Infrastructure Engineer (AI): Building and operating the infrastructure that transforms large-scale gameplay footage into training data and serves action and world models, with an accent on GPU orchestration, data pipelines, storage and inference performance. Focus on designing multi-cloud systems, optimizing throughput and latency, and owning substantial infrastructure from architecture through production.
Location: On-site at the New York City headquarters, United States
Salary: $180K–$300K annually, plus equity
Company
is an AI frontier lab building large action models and world models for virtual and physical environments, alongside the Medal gaming clips platform.
What you will do
- Own orchestration and GPU clusters, including scheduling, utilization, and capacity planning.
- Build preprocessing pipelines that convert large-scale gameplay video into training-ready data.
- Optimize disk and network I/O across high-volume data systems.
- Optimize production inference through batching, quantization, KV caching, and serving runtimes.
- Own cloud infrastructure, infrastructure as code, multi-region deployments, and system reliability.
- Define architecture and carry substantial infrastructure systems through production.
Requirements
- Five or six years of deep infrastructure experience in a large technology company or serious lab, or prior deep infrastructure experience followed by at least one year as a founder, co-founder, or founding engineer.
- Current hands-on coding experience and a desire to continue writing production code.
- Strong experience with Kubernetes, GPU infrastructure, and multi-region systems across cloud providers.
- Programming experience with Python and Go; Rust and C++ are used where performance requires them.
- Experience with Terraform and ownership of systems from technology selection through production.
- Ability to serve as a technical reference across infrastructure, data pipelines, and inference systems.
Culture & Benefits
- Direct collaboration with the founding team in a small organization with high ownership.
- Medical, dental, and vision coverage.
- 401(k), fertility and parental benefits, and generous paid time off.
- Daily meals, wellness, and commuter benefits at the New York City headquarters.
- Learning and development stipend.
Hiring process
- Interview discussions include technical decisions and areas where existing infrastructure choices may be challenged.
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