Apply on company website Palo Alto; Australia; Europe Remote (Global) Full-time USD 140,000 – 205,000 / year

Powerline is hiring a Senior Optimization Software Engineer

Responsibilities

  • Develop optimization, forecasting, and control algorithms that automate battery and renewable projects to achieve maximum performance.
  • Take ownership of algorithm performance across projects operated by Powerline.
  • Bring a results-focused mindset that is agnostic to the algorithmic approach as long as it wins.
  • Lead as a market rules expert. Take responsibility for staying current on new developments in the wholesale markets Powerline operates.
  • Analyze trends in market data and individual asset performance to recommend new features and methods that improve project performance and/or Powerline's offerings.

Requirements

  • 5+ years building mixed-integer linear and/or nonlinear optimization models to solve real-world problems with high dimensionality.
  • Strong knowledge of energy markets, EV/fleet optimization, batteries, virtual power plants, renewable energy, energy policies/regulations, and/or energy systems.
  • Proficiency in Python with professional software engineering standards.
  • High attention to detail.
  • Excellent communication skills and ability to articulate complex technical concepts.

Nice to Have

  • Ph.D. in operations research, electrical engineering, computer science, statistics, economics, or related field with a strong mathematical foundation.
  • Experience with Git, CI/CD pipelines, and agile development.
  • Experience with SQL-based databases (e.g., MySQL, PostgreSQL).
  • Experience with analytic dashboard development and visualization tools.

Compensation

Compensation Range: $140K - $205K

Required Skills
GitAgile Methodology
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Job Details
Location Palo Alto; Australia; Europe
Work mode Remote (Global)
Employment Full-time
Salary USD 140,000 – 205,000 / year
Department Engineering
Category other
Posted 12 days ago
Application On company website
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About company
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Powerline provides independent fleet-level AI for accurate performance benchmarking, optimized market strategy, and strong portfolio growth in the battery energy sector.

The company’s AI integrates market signals, bottom-up simulations, and operational data to build digital twins of battery projects at any scale. This enables customers to analyze past operations, learn from real-time trading insights, and predict future market conditions — all without operational risk or software changes.

Its flagship product, Battery Co-Pilot™, is a fleet-wide, continuous performance benchmarking platform that uses AI-driven insights and thousands of counterfactual scenarios to identify performance improvements and deliver actionable intelligence across battery portfolios.

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