Software Engineer, Grid-Scale Batteries

Software Engineer, Grid-Scale Batteries
Location: Cupertino, San Francisco (Hybrid 3 days)

Duration: Full Time

The Role

We're looking for a Software Engineer to join the team in building the core of Clients 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.

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