Research Software Engineer​/Sr​/US or Canada, Remote

Equilibrium Energy, Inc. is seeking a Research Software Engineer (Sr/Staff) for a remote position in the US or Canada. The role involves developing software tools for simulating utility-scale battery operations, visualizing results, and contributing to product development strategies. Candidates should have 4+ years of software engineering experience, preferably in machine learning or power systems research, and a strong understanding of software development practices.
Position: Research Software Engineer (Sr/Staff) US or Canada, Remote

Equilibrium Energy is revolutionizing the clean energy transition by developing innovative grid-scale energy storage solutions. Our technology and market platform helps utilities, independent power producers, and commercial customers optimize their renewable energy assets, improve grid reliability, and accelerate decarbonization. As a fast-growing climate tech company, we're building infrastructure that will shape the future of energy markets and enable a sustainable energy economy.

Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We’re looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.

What we are looking for

Equilibrium was founded with a vision for building a company where data-centric decision-making drives our operations. Our reliance on closed-loop, ML-infused, autonomous workflow decision-making makes simulating and interpreting market performance core to our success as a company. We are looking for a research software engineer who will be responsible for building software tools that allow sophisticated simulation of the physical and economic characteristics of utility-scale battery operations.

What you will do
• Design, develop, and maintain features for a utility-scale battery simulation platform
• Create a platform for visualizing and inspecting battery simulation results that enables actionable insights from performance and risk metrics
• Serve as a subject matter expert on simulation run mechanics and energy market logic
• Build tools for the ingestion and processing of time series data from various internal and external sources
• Assist in product development strategy, design, planning and productivity.
• Contribute your unique technical, user, and market knowledge to product strategy
• Contribute to product road mapping, 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.

The minimum qualifications you’ll need
• 4+ years of production software engineering experience (Python, C++, Julia, or other applicable languages)
• Experience working across the software / research boundary, preferably in one of the following domains: machine learning, optimization, quantitative trading, power systems research
• Familiarity with software development best practices, including version control, code reviews, CI/CD, and testing
• Experience analyzing computational results with tooling such as Jupyter notebooks and matplotlib or equivalent
• Ability to proactively communicate and work cross-functionally to define and implement solutions in a complex technical environment
• BA / BS / Master's degree in a quantitative discipline (e.g. Computer Science, Mathematics, Mechanical Engineering) or equivalent practical experience

Nice to have additional skills
• Domain experience in simulation of real-world assets (physical batteries, autonomous vehicles, etc.)
• Working knowledge of modern cloud infrastructure and containerization tools (e.g. Docker, Kubernetes, AWS / GCP / Azure)
• Experience with SQL-based databases (e.g. Postgre

SQL) as well as tools and frameworks for working with databases programmatically (e.g. ORMs, JDBC, etc.)
• Experience with speed/memory tradeoffs operating over large-scale datasets
• Experience with optimization techniques, modeling packages, and solversWhat we offer

Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial…