Algorithms Engineer

Base Power Company • Austin, TX

1d • 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.

What This Job Offers

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