Equilibrium Energy is hiring a
Research Software Engineer

Summary

Equilibrium Energy is seeking a Research Software Engineer with 4+ years of production software engineering experience in Python, C++, Julia, or other applicable languages. The role involves designing, developing, and maintaining features for a utility-scale battery simulation platform, creating tools for the ingestion and processing of time series data, and assisting in product development strategy.

Requirements

• 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

Responsibilities

• 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 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

Preferred Qualifications

• 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. PostgreSQL) 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 solvers