Allye Energy

Embedded Software Engineer (Battery Systems)

Ruislip, England, GB

In-personFull time roleMid Level, Senior Level

About 1 month ago

About the Job

Are you an Embedded Systems, Controls Engineer or an Electronics Engineer with a controls and firmware background in electric vehicles, batteries or energy storage?

This is a unique opportunity to join a fast-growing London based start-up that is creating an all-new range of battery storage systems for both commercial and consumer markets. You will be responsible for developing and managing our embedded systems. You will design and develop complex platform software (low level and middleware) for control systems.

Responsibilities

  • Implement and maintain software for microcontrollers, and Linux embedded systems

  • Develop a software integration process, debugging, software maintenance, and version management.

  • Managing the requirements of embedded projects, ensuring reliability and compatibility across our product line

  • Integrating advanced battery estimation and control algorithms in diverse hardware platforms.

  • Supporting the development of new battery state estimation and control methods

  • Optimise firmware for maximum performance, reliability and efficiency

  • Design and development of firmware related to custom battery packs

  • Control of battery management and protection circuits

  • Developing complex driver, OTA, and other functions as needed

  • Supporting Battery Engineers in development of the product designs

  • Develop product validation test programs to ensure robustness of design

  • Develop the software development lifecycle

  • Work in a multi-disciplinary research, development, and engineering environment

 

"" I believe should be a must have as it comes with the territory of Embedded engineering. We could also emphasise that data analysis and being familiar with Mongo or similar platforms is also part of the role

About the Company

Allye Energy Logo

Allye Energy

London, England, UK

6-10

Allye provides distributed energy storage at the grid edge to provide collective flexibility to the electricity network, helping accelerate decarbonisation of the grid while lowering energy costs for industrial, commercial and residential customers by up to 50%. Our smartly designed energy storage systems reimagine how batteries are connected, distributed and used. Flexible and modular, our batteries are self-learning, intelligently managed via the cloud to maximise cycle life and arbitrage on electricity prices. Using digital twins, we deploy machine learning and AI to optimise behaviour and performance as a collective of assets, to deliver benefits at an individual level to the end user and the energy network at a system level.
 

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