Software Engineer

Summary

Join Equilibrium Energy, a Series B clean energy startup, and contribute to our innovative grid-scale energy storage solutions. As a Software Engineer, you will lead the design, development, and support of software systems across our technical stack, working with a team of engineers, data scientists, and product managers. You will play a key role in building and maintaining our cloud-native platform, developing data engineering solutions, and infusing ML and AI into our business processes. In the medium term, you will cultivate our software engineering function and contribute to product strategy and architectural design. This role requires a passion for clean energy and significant software development experience. We offer a competitive salary, comprehensive benefits, and a flexible, remote-first work environment.

Requirements

• 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, Go, Julia, C, or Rust
• 8 years of relevant work experience

Responsibilities

• Lead the design, development, testing, delivery and support of software systems across our technical stack that drive our end-to-end product development ambitions
• Cloud and distributed systems development - contribute to building and maintaining our cloud-native platform and infrastructure; K8s, cluster management, linux containers, etc
• Data Platform and Engineering - our use cases are varied and so are our data engineering needs. From stream, batch, pub-sub, queuing, state stores, virtualization, complex data models and closed-loop pipelines, we’ve got a little bit of everything
• ML Engineering and MLOps - we aim to infuse EVERY business process with ML and AI, relying on closed-loop decision-making at every valuable juncture
• Simulation ecosystem - our ML- and AI-centric workflows need training and testing
• Workflow orchestration - we live in the land of complex, autonomous, multi-step sequential workflows operating in a distributed runtime with low latency requirements
• Service mesh - we rely heavily on reuse of core microservices to keep application development productivity high, which requires thoughtful service mesh management
• Application development - we’ve just started designing and developing across our anchor product suites, each focused on leveraging a common platform and service core
• DevSecOps - security is inherently embedded within our development and operations practices, and we leverage bespoke security techniques for some unique exposures
• Assist in product development strategy, design, planning and productivity
• Contribute your unique technical, user, and market knowledge to product strategy
• Contribute to product and architectural design
• Contribute to product roadmapping, resource planning and sprint management
• Contribute to product development productivity improvements, including best practices, technical documentation, code reviews and automation / utility / abstraction packages
• 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

Preferred Qualifications

• PhD degree in a quantitative discipline (e.g., Computer Science, Operations Research, Industrial Engineering, Mathematics, Economics, Physics, Electrical Engineering)
• 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
• Expertise in Go, Python, C, Rust, or Julia. Experience with orchestration tools like Temporal
• Advanced proficiency across a range of data engineering tools (ELT, streaming, pub-sub, relational DBs, object DBs, GraphDBs, etc.)
• 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
• 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)
• Proactive communicator who can translate product design specs into organized code
• Experience communicating the results of analyses with product, engineering, and leadership teams to influence product and engineering strategy
• Demonstrated proactivity and self-direction. Willingness to teach as well as learn
• Excellent team collaboration skills and collaboration-first mentality
• Experience with trading systems

Benefits

• 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
• Ability to work remotely from anywhere in the United States, Canada & Europe, or join one of our regional hubs in Boston, SF Bay Area, or London
• Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech