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 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