Software Engineer – Staff/Senior Staff

🕒 il y a 1 mois

🏄 California, New York – Distant

🏄 California – Remote 🗽 New York – Remote

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

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Equilibrium Energy

Site WebLinkedInTous les Emplois

51 - 200 employés

⚡ Énergie

🏢 Entreprise

Energy • AI • Enterprise

Equilibrium Energy est une entreprise de pointe axée sur la résolution des défis du changement climatique grâce à des solutions énergétiques innovantes. Elle se spécialise dans la gestion de la volatilité de l'énergie et aide les grandes entreprises à atteindre leurs objectifs de durabilité et d'énergie propre. Composée de scientifiques, d'ingénieurs et d'experts de premier plan, Equilibrium Energy est à l'avant-garde de la réinvention du rôle et des capacités des entreprises énergétiques. Elle intègre des techniques avancées d'IA avec la modélisation fondamentale des systèmes de puissance physique pour générer des perspectives, dans le but de créer une industrie énergétique plus durable et respectueuse du climat.

Description

• 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.

🎯 Exigences

• 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)

🏖️ Avantages

• 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