About the role

Aplyr's Quick Take

This role is for a Power Systems Research Scientist focused on developing models and algorithms to optimize large-scale electricity transmission systems. You'll be working on complex problems related to power flow and market dynamics, using advanced computing techniques. This is an individual contributor role that requires strong technical skills in optimization and simulation.

Good fit

Ideal candidates have a background in power systems engineering or a related field, with experience in machine learning and optimization. You should be comfortable working independently and enjoy tackling complex technical challenges in a collaborative environment.

Worth noting

The company emphasizes a low-ego culture and values continuous learning, which might appeal to those seeking a supportive work atmosphere. They also highlight their profitability and independence from venture capital, which is uncommon in the startup space.

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean power by optimizing renewable energy and grid-scale batteries. With offices in the Bay Area and Houston, we bring together Silicon Valley–style innovation with deep, hands-on expertise in real-world power markets and energy retail.

As solar and wind become the fastest-growing sources of electricity, variability from weather and grid conditions makes energy prices more volatile. Gridmatic tackles this challenge with industry-leading forecasting and optimization—and gives our team the opportunity to work on problems that truly matter. Forecasting and trading energy are the foundation of what we do. We ingest large-scale data—weather, prices, load, and grid conditions—to build probabilistic machine learning forecasts that drive real operational decisions. Our work directly determines when power is bought, stored, or deployed, turning uncertainty into value for customers and the grid.

Our impact is measurable. Gridmatic is the most profitable participant in ERCOT’s wholesale market and operates the top-performing battery asset in CAISO. Profitable without venture capital, we offer a collaborative, low-ego environment where rigorous thinking, autonomy, and continuous learning are core to how we work.

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).

Skills & Tags

go machine learning ai data design

Aplyr's read

Gridmatic is a technology company revolutionizing energy management with cutting-edge software, attracting talent passionate about sustainable solutions and grid optimization.
Synthesized from recent postings & public sources

What's promising

•Gridmatic's focus on advanced software solutions positions it at the forefront of energy management innovation.
•Recent hiring in diverse roles indicates growth and a commitment to expanding expertise.
•The company's emphasis on grid optimization aligns with global sustainability trends, offering meaningful work.

What to watch

•The niche focus on energy management may limit career opportunities outside this sector.
•Rapid growth could strain resources and affect work-life balance.
•Limited public information about financial stability and long-term viability.

Why Gridmatic

•Gridmatic specializes in optimizing grid operations, a critical area for future energy sustainability.
•The company attracts talent interested in both technology and environmental impact.
•Its software-driven approach differentiates it from traditional energy companies.

Aplyr’s read is generated by AI from public sources. Was it useful?