5-7 years of experience in deploying algorithmic control for physical systems.
Track record of profitability in energy markets is a plus.
Strong background in control methods such as model predictive control or reinforcement learning.
Proficiency in data analysis tools like SQL and Grafana.
Excellent communication skills and data-driven mindset.
Responsibilities
Develop algorithms for real-time energy arbitrage and ancillary services.
Integrate market operations algorithms with control systems for voltage regulation.
Handle on-call duties as a scheduling engineer for fleet operations.
Implement unique controls for aggregated battery deployments at distribution voltages.
Work closely with the trading desk to understand real-world fleet behavior.
Benefits
Collaborative work environment fostering innovative problem solving.
Hands-on experience at the intersection of engineering and financial markets.
Opportunity to contribute to a mission-driven company focused on grid resilience.
Dynamic team of diverse professionals across various disciplines.
Full Job Description
About the Role
Algorithms engineering at Base is the heart of our distributed fleet control and coordination. The fleet aggregation and distribution loop is a sequential decision making problem; algorithms engineers will work to solve this problem in a variety of settings and fleet configurations. Algorithms engineers are first-class members of our trading desk, and become part of realtime desk rotation, gaining hands on perspective about how the fleet behaves under real world conditions.
What You'll Do
Build and develop algorithms for distributed battery fleet dispatch for realtime energy arbitrage and ancillary services in wholesale energy markets (e.g. ERCOT, etc).
Integrate wholesale energy market operations algorithms with grid-service control loops for voltage regulation and system peak shaving.
Participate in fleet scheduling as an on-call scheduling engineer.
Implement controls for first-of-its-kind concentrations of aggregated battery deployments at distribution system voltages.
What You'll Bring
Proven experience deploying algorithmic control for physical systems. Track record of profitability and scale in energy markets is a plus.
Deep understanding of any number of control or control-adjacent disciplines: e.g. model predictive control, reinforcement learning, Markov decision processes, signal processing.
A data-driven mindset and good communications skills; comfort working with modern tools (e.g., SQL, Grafana) to crystalize understanding of drive development work across the company (device efficiency, deployment configurations).
About this Team
The Markets team at Base is tasked with ensuring the grid-support performance and profitability of Base's distributed battery fleet. This encompasses device communications with balancing authorities, telemetry analysis, algorithms for fleet aggregation and economic dispatch, through to financial portfolio management in wholesale energy markets. Our team is made up of physicists, economists, computer scientists, and engineers; the best candidates will bring the day-over-day intensity of an operator with the foresight to drive the long term development of simpler, more performant automated control. Success looks like building the airplane as it falls out of the sky.
Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive.
