Demo

Research Software Engineer (Sr/Staff)

Equilibrium Energy
California, MO Full Time
POSTED ON 1/15/2025
AVAILABLE BEFORE 3/28/2025

What we are looking for

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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 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.

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. 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
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