Software Engineer – Staff/Senior Staff

🕒 Abril 9

🏄 California, New York – Remoto

🏄 California – Remote 🗽 New York – Remote

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Equilibrium Energy

SiteLinkedInTodas as Vagas

51 - 200 funcionários

⚡ Energia

🏢 Corporativo

Energy • AI • Enterprise

A Equilibrium Energy é uma empresa inovadora focada em enfrentar os desafios das mudanças climáticas por meio de soluções energéticas inovadoras. Eles se especializam em navegar pela volatilidade do mercado de energia, ajudando empresas líderes a alcançar suas metas de sustentabilidade e energia limpa. Com uma equipe composta por cientistas de primeira linha, engenheiros e especialistas do setor, a Equilibrium Energy está na vanguarda da reimaginação do papel e das capacidades das empresas de energia. Eles integram técnicas avançadas de IA com modelagem fundamental de sistemas de energia física para impulsionar percepções, com o objetivo de criar uma indústria de energia mais sustentável e ecologicamente correta.

Descrição

• Lead the design, development, testing, delivery and support of software systems across our technical stack that drive our end-to-end product development ambitions. • Assist in product development strategy, design, planning and productivity. • Serve as a member of our technical team across both engineering and research. • Collaborate asynchronously with engineers, researchers and product managers across time zones to design, build and ship code. • Contribute to technical strategy and planning across the company. • Represent Equilibrium in external venues, including presenting work at conferences and contributing to open-source projects.

🎯 Requisitos

• Passion for clean energy and fighting climate change • BS/Master's degree in a quantitative discipline (e.g., Computer Science, Operations Research, Industrial Engineering, Mathematics, Economics, Physics, Electrical Engineering) or equivalent practical experience. • Software development experience in Python, Typescript, Go, Julia, C, or Rust. • 8 years of relevant work experience. • PhD degree in a quantitative discipline (e.g., Computer Science, Operations Research, Industrial Engineering, Mathematics, Economics, Physics, Electrical Engineering) (Nice to have) • 8 years of relevant work experience, including expert software engineering fundamentals and experience building software to support ML and AI pipelines, and associated data structures (Nice to have) • Demonstrated expertise building agents and working with LLMs (Nice to have) • Expertise in Python or Typescript (Nice to have) • Experience with orchestration tools like Dagster (Nice to have) • Experience with trading systems (Nice to have) • Deep knowledge of electricity markets (Nice to have) • Advanced proficiency across a range of data engineering tools (ELT, streaming, pub-sub, relational DBs, object DBs, GraphDBs, etc.) (Nice to have) • Deep expertise across any one of our tech stack domains: cloud infrastructure, data platform and engineering, IoT, MLOps and ML pipelines, simulation ecosystems, workflow orchestration, microservices orchestration, and/or application development (Nice to have) • Familiarity supporting and releasing ML/AI models that drive operational workflows (e.g., models that run and produce new inferences every hour of the day) (Nice to have) • Proactive communicator who can translate product design specs into organized code (Nice to have) • Experience communicating the results of analyses with product, engineering, and leadership teams to influence product and engineering strategy (Nice to have) • Demonstrated proactivity and self-direction. Willingness to teach as well as learn (Nice to have) • Excellent team collaboration skills and collaboration-first mentality (Nice to have)

🏖️ Benefícios

• Competitive base salary and a comprehensive medical, dental, vision, and 401k package • Opportunity to own a significant piece of the company via a meaningful equity grant • Unlimited vacation and flexible work schedule • Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech