Software Engineer, Grid-Scale Batteries

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're looking for a Software Engineer to join the team building the core of Gridmatic's battery optimization platform. Our challenges are shaped by the nature of energy markets: optimization models run on tight schedules, bids must be submitted reliably within tight market clearing windows, and data pipelines need to ingest and process market signals continuously. You'll partner with our ML, optimization, and data science teams to bring research into production, and work alongside the Platform Infrastructure team on the compute and orchestration layers that underpin it all.

We recognize some candidates may hesitate to apply if they do not have all the listed skills. We encourage interested individuals to apply if they have relevant skills even if they do not have experience in every listed area.

What You'll Do:

• Build and maintain data pipelines that ingest real-time market and telemetry data and pass these to our forecasting and optimization models
• Own production systems using workflow orchestration for battery dispatch and market bidding, where reliability has direct revenue consequences
• Partner with ML and optimization researchers to evaluate and productionize bidding strategies e.g. by adding or improving workflow orchestration
• Collaborate with the our data and optimization teams to build reliable data calculations and visualization for settlement calculations, trading operations, and bid strategy evaluation
• Contribute to tooling, observability, and patterns that help the team ship and operate software reliably
• Make architectural decisions as we scale the platform alongside our asset portfolio
• Join on call rotation to maintain systems you build

What We're Looking For:

• 4+ years of experience building and operating production software systems
• Strong proficiency in Python, including production-grade code beyond notebooks and scripts
• Experience with Go, or a background in a similar typed language (Java, Rust, C++)
• Solid experience building and operating data pipelines-streaming or batch, at meaningful scale
• Hands-on experience with workflow orchestration tools such as Airflow, Flyte, or Temporal
• Enthusiasm to learn about and work on details of the application, in this case electricity markets and grid-scale batteries
• Systems thinking-understanding how components interact, where failures cascade, and how to build for reliability and efficiency
• Clear communication, whether writing a design doc, reviewing code, or explaining a system to someone unfamiliar with it
• Comfort in a fast-moving, small-team environment where ownership is broad

Nice to Have:

• Infrastructure-as-code experience with Terraform or similar tools
• Hands-on experience with Kubernetes in production (we run on GKE)
• Background working with ML, optimization, or research teams to bring models into production
• Familiarity with optimization, forecasting, or simulation workflows
• Prior work in domains where latency and reliability have direct business consequences
• Experience in energy markets, SCADA, or battery management systems

$175,000 - $235,000 a year

Join our team and make a difference! Click below or email us at [email protected].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.