Power Systems Research Scientist

The Role

We are looking for a Power Systems Research Scientist to develop physics-based models of large-scale transmission systems and their impact on electricity markets.

You will work on large-scale optimization and simulation problems, including power flow, congestion, and security-constrained unit commitment and economic dispatch (SCUC/SCED). This role focuses on designing scalable algorithms and high-performance implementations for solving complex power system problems.

This role sits at the core of our research and trading stack, building models and computational tools that directly impact how we understand and operate in electricity markets.

We are particularly interested in rethinking power system optimization and simulation using modern computing (e.g., GPU acceleration).

What you'll do:

Develop and analyze power network models, including AC/DC power flow, contingency analysis, and security constraints

Build and enhance large-scale optimization models (e.g., SCUC/SCED) with detailed transmission constraints

Design and implement scalable algorithms and solver components for large-scale power system optimization

Identify and address computational bottlenecks in network-constrained simulations and optimization

Model and analyze congestion and transmission-driven market outcomes

Simulate grid scenarios with high penetration of renewables, storage, and outages

Collaborate with ML and trading teams to integrate network-aware signals into forecasting and decision systems

Qualifications:

Advanced degree (MS/PhD) in Electrical Engineering, Power Systems, or related field

Strong background in power systems analysis and modeling

Experience with power flow (AC/DC), transmission modeling, and congestion analysis

Familiarity with ISO/RTO markets and network-constrained market outcomes

Experience with optimization algorithms and large-scale mathematical programming

Understanding of numerical methods for convex and/or non-convex optimization

Strong programming skills in Python

Nice to Have:

Experience with tools such as PSS/E, PowerWorld, PSLF, or similar

Familiarity with SCUC/SCED implementations

Background in electricity market modeling or trading

Experience working with large-scale datasets and cloud applications

Familiarity with key power systems concepts such as PTDFs (power transfer distribution factors) and security constraints

Experience with GPU-accelerated computing for large-scale optimization or simulation

Experience with frameworks such as PyTorch or JAX for high-performance numerical computing

Taking care of you today:

- Continuing Education Opportunities

- Flexible PTO

- Medical, Dental and Vision plans with competitive employer contributions

- Pre-Tax commuter benefits

- $1500/year non profit donation matching program through Millie

- Home Office Stipend

Protecting your future for you and your family:

- 401K contribution match up to 4%

- Company-paid parental leave

- Company Paid Life Insurance

- Stock Option Loan Program

Pay range

$175,000 — $270,000 USD