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Senior Software Engineer, ML Infrastructure

Gridmatic
Cupertino, California
Full Time
Posted February 12, 2026
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Job Description

A Senior Software Engineer specializing in ML infrastructure, responsible for developing backend systems and tooling to support machine learning engineers in a clean energy startup focused on forecasting and optimizing renewable energy and grid-scale batteries.

Key Responsibilities

  • Develop and improve infrastructure and tooling to support machine learning engineers
  • Collaborate with ML engineers to optimize backend systems for faster development and deployment
  • Build and maintain scalable backend services for energy forecasting and trading operations

Requirements

  • Experience working as a backend engineer with the ability to work closely with ML engineers to improve infrastructure and tooling.
  • Proficiency in building and maintaining scalable, reliable backend systems that support machine learning workflows.
  • Ability to develop and implement infrastructure solutions that enhance the speed and efficiency of ML engineering tasks.
  • Strong understanding of software engineering principles relevant to backend development, including data handling, API development, and system integration.
  • Experience with large-scale data ingestion and processing systems, particularly involving weather data, prices, load, and grid conditions.
  • Knowledge of probabilistic machine learning forecasts and their application in operational decision-making within energy markets.
  • Demonstrated ability to work in a collaborative environment with a low-ego attitude, emphasizing rigorous thinking, autonomy, and continuous learning.

Benefits & Perks

Work environment perks: collaborative, low-ego environment with a focus on rigorous thinking, autonomy, and continuous learning
Additional benefits: opportunities to work on impactful problems in renewable energy and grid optimization

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