Summary
What you’ll impact
The role is a Member of Technical Staff on the Grid Services team, responsible for developing software that enables data centers to participate in wholesale electricity markets and demand response programs. The engineer will design integrations, build optimization and forecasting models, and own end-to-end services that translate market rules into reliable production systems.
Responsibilities
What you'll do
- Design and build software integrations with ISOs/RTOs, utilities, aggregators, and demand response platforms.
- Develop optimization and control algorithms that determine when and how data center resources including compute workloads, on-site generation, and storage are dispatched in response to grid signals
- Build forecasting models for electricity demand, data center load, prices and grid conditions to support market participation and dispatch decisions.
- Translate wholesale market and demand response program rules including capacity accreditation, baselines, measurement & verification (M&V), settlement, and compliance into operational software
- Build reliable data pipelines that ingest, validate, and process real-time operational and market data.
- Own software services from design through deployment, monitoring, and long-term operation.
Requirements
What you’ll bring
- 7+ years of software engineering experience building production systems in Python
- Strong experience designing and operating reliable, distributed software systems where correctness and availability are critical
- Experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker/Kubernetes), and CI/CD pipelines
- Experience building data pipelines and working with large-scale operational datasets
- Familiarity with SQL and modern data engineering practices
- Experience in electric utilities, ISOs/RTOs, wholesale electricity markets, demand response, or adjacent energy systems
- Excellent communication and collaboration skills
- Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related quantitative field
- Experience with PJM, ERCOT, SPP and/or CAISO markets
- Experience with optimization frameworks (OR-Tools, Gurobi, CPLEX, Pyomo, cvxpy)
- Experience building, deploying and monitoring machine learning models for time-series prediction
- Experience with industrial communication protocols common in the energy sector (DNP3, ICCP, IEEE 2030.5, OpenADR)
- Experience integrating with SCADA or other industrial control systems
- Familiarity with NERC/FERC reliability standards and market compliance
- Experience building settlement, measurement & verification (M&V), or baseline calculation systems
- Experience with Rust, C++, or other systems programming languages
- Startup experience or a track record of thriving in highly ambiguous environments