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Research Software Engineer

2 months ago

California, Missouri, United States Equilibrium Energy Full time
About Equilibrium Energy

We are a data-centric company that relies on closed-loop, ML-infused, autonomous workflow decision-making to drive our operations. Our success is core to our ability to simulate and interpret market performance.

Job Summary

We are seeking a highly skilled Research Software Engineer to join our team and contribute to the development of a utility-scale battery simulation platform. The successful candidate will be responsible for designing, developing, and maintaining features that enable sophisticated simulation of physical and economic characteristics of utility-scale battery operations.

Key Responsibilities
  • Simulation Platform Development
    • 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
  • Product Development Strategy and Planning
    • 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
  • Technical Team Collaboration
    • 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
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
Nice to Have 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. 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