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Software Engineer, Algorithms & Infrastructure

Base Power

Austin, TX · Full-time · Onsite · Posted Oct 14, 2026

At a glance

Employment
Full-time
Workplace
Onsite
Location
Austin, TX

About the role

  • As a Software Engineer on the Markets team, you will build and automate the decisions our battery fleet and financial commitments run on, from real-time battery dispatch to long-term market participation.
  • You will take ambiguous, high-stakes market and control problems and turn them into reliable, automated infrastructure including simulators, models, and trading-strategy systems.
  • This role has direct, measurable impact on Base’s top and bottom line as you ship production decision infrastructure and improve battery dispatch and control policies.

Responsibilities

  • Design, build, and maintain the infrastructure, platforms, and algorithmic components relied on for decisions about battery control and financial market participation.
  • Work closely with utilities, fleet, and market teams to enable participation in power markets under new modalities and across additional geographies.
  • Automate daily processes for the Markets team including backtest automation, regression-safe release processes, and iteration speed improvements.
  • Build monitoring, alerting, and reporting to evaluate the performance of automated decision processes.
  • Improve existing battery physical operation policies.
  • De-risk, implement, and maintain ML-based methods such as supervised learning, model-predictive control, and policy imitation for dynamic systems like DAgger.

Requirements

  • Strong ability to systematize requirements, define success for ambiguous problems with multiple objectives, and propose pragmatic solutions.
  • A world-class ownership mindset owning outcomes rather than just tasks.
  • Hands-on experience with AI/ML and HPC infrastructure from a major cloud provider or specialized ones.
  • Strong interest in applied math and machine learning methods.
  • Experience solving MLOps or similarly challenging observability, monitoring, and versioning problems.

Preferred qualifications

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

Skills

  • AWS
  • GCP
  • Azure
  • Modal
  • Beam

Base Power

Software Engineer, Algorithms & Infrastructure

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