Drimva

Base Power

Software Engineer, Algorithms & Infrastructure

Austin, TX · On-site · Full-time · Posted Oct 14, 2026

About the job

Build and operate algorithms and production infrastructure that optimize battery dispatch and power-market participation.

What you'll do

  • Develop simulators, statistical models, trading strategies, and infrastructure for battery control and market decisions.
  • Automate backtesting and regression-safe releases, and build monitoring, alerting, and reporting.
  • Improve battery-operation policies and implement and maintain ML-based decision methods.

What they ask for

  • Hands-on experience with AI/ML and HPC infrastructure from a major or specialized cloud provider.
  • Experience solving MLOps or similarly challenging observability, monitoring, or versioning problems.
  • Strong ability to define success and propose pragmatic solutions for ambiguous problems with multiple objectives.
  • Strong interest in applied math and machine learning methods.

Nice to have

  • Experience with decision-making under uncertainty for stateful systems.

Tools

AWS, GCP, Azure, Modal, Beam, DAgger

AI focus

Apply and productionize supervised learning, model-predictive control, and imitation learning for automated battery and market decision-making.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)