Software Engineer, Algorithms & Infrastructure at Base Power Company | Austin, TX, US | Rezi

Software Engineer, Algorithms & Infrastructure at Base Power Company

Software Engineer, Algorithms & Infrastructure

Base Power Company · Austin, TX, US

3 weeks ago

Software Engineer, Algorithms & Infrastructure

Base Power Company · Austin, TX, US

24 days ago
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About the Role

As a Software Engineer on the Markets team, you will build and automate the decision-making infrastructure for our battery fleet and financial commitments, covering real-time dispatch to long-term market participation. You will transform complex market and control problems into reliable, automated systems, including simulators, models, and trading strategy systems.

Responsibilities

  • Design, build, and maintain infrastructure, platforms, and algorithmic components for battery control and financial market participation.
  • Collaborate with utilities, fleet, and market teams to enable participation in new power market modalities and geographies.
  • Automate daily processes, including backtest automation, regression-safe release processes, and iteration speed improvements.
  • Develop monitoring, alerting, and reporting systems for automated decision processes.
  • Enhance existing battery physical operation policies.
  • De-risk, implement, and maintain ML-based methods for automated decision making.

Requirements

  • Strong ability to systematize requirements, define success for ambiguous problems with multiple objectives, and propose pragmatic solutions.
  • World-class ownership mindset; own outcomes, not just tasks.
  • Hands-on experience with AI/ML and HPC infrastructure from a major cloud provider (AWS, GCP, Azure) or specialized providers (Modal, Beam).
  • Strong interest in applied math and machine learning methods.
  • Experience solving MLOps or similarly challenging observability/monitoring/versioning problems.
  • Experience with decision-making under uncertainty for stateful systems (nice to have).

Skills

  • AI/ML
  • HPC infrastructure
  • Applied math
  • Machine learning methods
  • MLOps
  • Observability
  • Monitoring
  • Versioning
  • Decision-making under uncertainty
  • Model-predictive control
  • Policy imitation

Location

  • Remote

Work Type

  • Onsite
  • Full-time

Experience Level

  • Mid-level

About the Company

  • Base is America’s next-generation power company, rebuilding the foundation of electricity by deploying a vast network of distributed batteries.
  • We are transforming today’s fragile, centralized grid into a resilient and abundant system.
  • We are engineers, operators, and creatives solving complex, interdisciplinary challenges.