Research Software Engineer

Requirements

• 4+ years of production software engineering experience (Python, C++, Julia, or other applicable languages)
• Experience working across the software/research boundary, preferably in 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

• Domain experience in simulation of real-world assets (physical batteries, autonomous vehicles, etc.)
• Working knowledge of modern cloud infrastructure and containerization tools
• Experience with SQL-based databases
• Experience with speed/memory tradeoffs operating over large-scale datasets
• Experience with optimization techniques, modeling packages, and solvers

Day to day

• 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

Hiring process