Algorithms Engineer

Base Power Company • Austin, TX

3d

About The Position

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.

Requirements

• 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)

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed