Senior Software Developer

23 hours ago


San Francisco, California, United States Q-Cells Full time
Job Description

We are seeking a skilled Senior Software Engineer to join our Data Science team at Q-Cells, a leading provider of solar cells and modules. As a key member of the team, you will be responsible for developing mathematical optimization and machine learning algorithms to support the company's energy services.

The ideal candidate will have strong mathematical modeling skills with experience in ML algorithms and a solid foundation in computer science and software engineering principles. You will work closely with Data Scientists, Software Engineers, and DevOps to deploy software applications into production and collaborate with Product Managers, Energy Analytics Engineers, and Data Scientists to understand and implement new requirements for the simulation platform.

The salary range for this position is between $120,000 and $180,000 per year, depending on the location. This estimate is based on national averages for similar positions in the United States.

Key Responsibilities:

  • Design and develop software to implement mathematical optimization and machine learning algorithms.
  • Develop software to calculate energy-related metrics and evaluate algorithm performance using streaming telemetry data from equipment.
  • Collaborate with Data Scientists, Software Engineers, and DevOps to deploy software applications into production.
  • Work closely with Product Managers, Energy Analytics Engineers, and Data Scientists to understand and implement new requirements for the simulation platform.

Required Qualifications:

  • Bachelor's degree in computer science and 5+ years of professional experience.
  • OR Master's degree in computer science and 3+ years of professional experience.
  • Strong background in linear algebra, probability, and statistics.
  • Proficiency in Python (3.6+) and experience with Django/Flask/FastAPI and Python libraries for numerical methods and time series data.
  • Experience with cloud platforms such as AWS or Azure, as well as Docker, Kubernetes, microservices, message-passing architectures, and REST APIs.


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