Principal Power Systems Engineer

Fluence Energy, Inc. (“Fluence”) (Nasdaq: FLNC) is a global market leader delivering intelligent energy storage and optimization software for renewables and storage. The Company's solutions and operational services are helping to create a more resilient grid and unlock the full potential of renewable portfolios. With gigawatts of projects successfully contracted, deployed, and under management across nearly 50 markets, the Company is transforming the way we power our world for a more sustainable future. 

ABOUT THIS POSITION

Fluence, the global market leading energy storage technology company, is looking for a Principal Power Systems Engineer with extensive experience with grid-connected power converters and the use of storage on the transmission system to provide grid support. This position is within the Technology Team and will focus on power systems product development and design for cutting edge Fluence Battery Energy Storage Systems (BESS), particularly the major components of the inverters and the Fluence control system. 

Your responsibilities will include:

•Serve as the power systems technical expert on a team designing Fluence’s energy storage products for power system support, targeted at utility and grid operator customers.

•Develop detailed product requirements, lead system level product design, and develop test plans for power system support applications

•Provide expertise in the area of understanding of power system stability issues and control schemes for grid-connected power system support

•Lead evaluations of the interaction between the BESS power converter systems (PCS) and the utility/grid under a broad range of system events and operating conditions.

•Design and develop new products and product features to advance BESS capabilities to provide support for the high voltage power system.

•Actively work and provide support to both internal customers such as sales, engineering and business development teams and external customers such as ISOs, energy producers and utilities in the use of Fluence BESS models