USADecision Engineer, Compute Production
1 мес. назад
208k–269k USD / yearUSAMiddleOnsite
aimachine learningpython
Build AI-powered decision systems to enhance productivity in compute production.
Обязанности
- Build decision systems and internal tools leveraging frontier models that make the compute production flow significantly more productive
- Own tools end to end, from conception through production, iterating directly with the people who use them
- Design and maintain shared AI infrastructure including AGENTS.md and SKILLS.md, and build shared skills for the organization
- Build custom integrations between LLMs and internal systems (Slack, GitHub, internal APIs, operational data)
- Stay current with rapidly evolving AI capabilities and proactively identify new opportunities to apply emerging techniques
Требования
- 3+ years of software engineering experience with production-grade code in Go, Python, and TypeScript (and the ability to work in an arbitrary language, primarily driving AI coding tools)
- Strong full-stack development skills building web applications (React, Next.js, or similar frameworks)
- Hands-on experience building applications with LLM APIs (OpenAI, Anthropic, or open-weight models), creating and using MCP servers, and agentic frameworks
- Daily, demonstrable use of AI coding agents (Claude Code, Cursor, or similar) with concrete examples of tools and skills you have built
- Proven ability to work autonomously: identifying problems, designing solutions, and shipping results with minimal direction and high impact
- Strong product and systems judgment, comfortable with ambiguity and a demanding pace
- Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders and drive adoption
- Nice to have: exposure to compute infrastructure, hardware production, or operations tooling
Условия
- Competitive total compensation package (cash + equity)
- Health, dental, and vision insurance
- Retirement plan
- Generous PTO policy
- We are committed to pay equity and transparency.
- is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
- You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Другое
- We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.
- We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.
- We hire people who care deeply about this problem space. If that is you, please apply!
- We are hiring Decision Engineers (AI Software Engineers) for the Compute Production team within Decision Engineering, building decision systems for the compute production flow. Decision Engineers serve as an internal force multiplier, building AI-powered tools and decision systems that make every team member significantly more productive. You'll work directly with the compute production teams to identify high-impact opportunities for AI augmentation, then ship tools that drive measurable productivity gains. This is a unique opportunity to define how a fast-growing infrastructure company integrates AI into every aspect of its operations.