Research Software Engineer (Sr/Staff)

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 make 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