Engineering Manager- Data Products

Employer
Jobot
Location
Mc Lean, Virginia
Posted
Jun 19, 2024
Closes
Jun 22, 2024
Ref
2778285078
Discipline
Engineering
Hours
Full Time
Organization Type
Other
Lead the development of modeling, simulation, and optimization products while contributing to R&D

This Jobot Job is hosted by: Charles Simmons
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $150,000 - $200,000 per year

A bit about us:

This organization is dedicated to the advancement of research and development of novel products to improve the efficiency, cost, and availability of green energy across the US and worldwide. As a global leader in the green energy transformation this organization seeks the best scientists, engineers, and leaders looking for a mission driven organization with the resources to impact real change world wide.

Why join us?
  • competitive compensation $150-200k in base and bonus
  • flexible work schedule with hybrid and remote opportunities
  • comprehensive health, vision, and dental coverage with employer contribution for individuals and families
  • paid time off, paid holidays, parental leave
  • 5% 401k contribution plus 2% match


Job Details

The Engineering Manager - Data Products will be a pivotal new position to a growing department, operating between the software engineering, infrastructure, data science, and power systems groups. This department has several existing products used by clients for buying and selling clean energy on the grid, predicting and simulating energy production and storage, and monitoring the health and safety of electrical systems. This person will lead a team that builds and develops optimization algorithms, frameworks, and the software tools they're deployed to for real world use.

Skills and Experience:
  • Linear Programming
  • Machine Learning (ML), Predictive Analytics, Neural Networks, Reinforcement Learning
  • Python
  • Docker, Kubernetes, GCP
  • Jenkins, GitHub Actions, GitLab, BitBucket, etc.
  • M.S. or Ph.D. - Physics, Mathematics, Industrial/Electrical/Mechanical Engineering, or related
  • energy modeling


Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.