Algorithms Engineer

Base Power CompanyAustin, TX
Onsite

About The Position

Algorithms engineering at Base is central to the control and coordination of their distributed fleet. This role involves solving sequential decision-making problems in various settings and fleet configurations related to fleet aggregation and distribution. Algorithms engineers are integral members of the trading desk and participate in real-time desk rotation to gain practical insights into fleet behavior under real-world conditions.

Requirements

  • Proven experience deploying algorithmic control for physical systems.
  • 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).

Nice To Haves

  • Track record of profitability and scale in energy markets is a plus.

Responsibilities

  • 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.
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