2 дня назад
Software Engineer (AI)
224 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI) (Go/Python/TypeScript): Building AI-powered software for automating the delivery of gigawatt-scale data centers, with an accent on LLM APIs, agentic workflows, and construction infrastructure systems. Focus on turning schedules, site data, change orders, BIM models, and commissioning procedures into structured, evidence-driven software workflows.
Location: San Francisco, CA, United States; work is on-site
Salary: $224,000–$300,000 USD per year, plus equity
Company
builds and operates large-scale compute infrastructure and software systems for AI data centers.
What you will do
- Build software that automates the delivery of gigawatt-scale AI infrastructure.
- Develop production features using LLM APIs, MCP servers, and agentic frameworks.
- Turn construction schedules, site records, work packages, and quality inspections into structured data and workflows.
- Build systems for change orders, procurement planning, BIM-based bills of materials, submittals, and commissioning.
- Work directly with construction leads, field engineers, schedulers, and commissioning teams to drive software adoption.
Requirements
- Production coding experience in Go, Python, or TypeScript, with the ability to learn additional languages as needed.
- Experience building real features with LLM APIs such as OpenAI, Anthropic, or open-weight models.
- Experience with MCP servers and agentic frameworks.
- Daily use of AI coding tools such as Claude Code and Cursor, including autonomous agent workflows.
- Ability to identify problems, design solutions, and ship independently under demanding deadlines.
- Experience building credibility with construction, field engineering, scheduling, or commissioning professionals.
Nice to have
- Construction technology or project controls, including P6, schedule engines, or critical path systems.
- BIM, IFC, or Revit data models.
- Commissioning, BMS/EPMS, or controls protocols.
- Document control, submittal workflows, graph data models, or computer vision for site imagery.
Culture & Benefits
- High autonomy and end-to-end ownership.
- Fast-paced, high-intensity work focused on frontier AI infrastructure.
- Health, dental, and vision insurance.
- Retirement plan and generous paid time off.
- Competitive cash compensation and equity for full-time roles.
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