Software Engineer, Algorithms & Infrastructure
Base Power · Austin, TX
About this role
**Software Engineer, Algorithms & Infrastructure** **About Base** Base is America’s next-generation power company. We’re rebuilding the foundation of modern civilization—electricity—by deploying a vast network of distributed batteries that transforms today’s fragile, centralized grid into a resilient and abundant system. **About the Role** As a Software Engineer on the **Markets** team, you’ll build and automate the decisions our battery fleet and financial commitments run on—from **real-time battery dispatch** to **long-term market participation**. You’ll turn ambiguous, high-stakes market and control problems into reliable, automated infrastructure: **simulators, models, and trading-strategy systems** that power how our batteries buy, sell, and dispatch. You’ll ship production decision infrastructure with **backtest automation** and **regression-safe releases**, deliver measurable improvements to battery dispatch and control policies, and help bring **ML-based methods** (e.g., model-predictive control and policy imitation) into production as we expand into new market modalities and geographies. --- **What You’ll Do** - Design, build, and maintain infrastructure, platforms, and algorithmic components for battery control and financial market participation (simulators, statistical models, algorithmic trading strategies). - Partner with utilities, fleet, and market teams to enable participation in power markets under new modalities and across additional geographies (domestic and international). - Automate Markets team workflows: backtest automation, regression-preventing release processes for energy arbitrage policy behavior, and iteration speed improvements. - Build monitoring, alerting, and reporting to track performance of automated decision processes. - Improve existing battery physical operation policies. - De-risk, implement, and maintain ML-based methods (supervised learning, model-predictive control, policy imitation for dynamic systems like DAgger) for automated decision-making. --- **What You’ll Bring** - Strong ability to systematize requirements, define success for ambiguous problems with multiple objectives, and propose pragmatic solutions. - A world-class ownership mindset—own outcomes, not just tasks. - Hands-on experience with **AI/ML** and **HPC infrastructure** from AWS/GCP/Azure or specialized platforms (Modal, Beam). - Strong interest in applied math and machine learning methods. - Experience with **MLOps** or similarly challenging observability/monitoring/versioning problems. - **Nice to have:** experience with decision-making under uncertainty for stateful systems. --- **About the Team** Base’s Markets team owns the systems that decide how our fleet of batteries buys, sells, and dispatches power across every market we operate in. Every dollar of revenue and every megawatt of grid support runs through decisions this team automates—from real-time dispatch to long-term financial commitments. As we expand into new markets and geographies, the fundamentals get harder: more uncertainty, more constraints, and more money on the line. This team defines—often from scratch—how a distributed battery fleet should behave in power markets that were never built for it, with direct, measurable impact on Base’s top and bottom line. *Note: Base is a startup—priorities shift quickly. Your role may expand or change based on business needs.* --- **Our Values** - First Principles Thinking - Operate at Base Pace - Give & Get Fe
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