Battery Storage Engineer – Advanced Grid-Scale Energy Storage

Key Responsibilities

• Research, design, and test advanced battery chemistries including but not limited to solid-state, sodium-ion, lithium-sulfur, and flow batteries.
• Develop experimental methods for assessing electrochemical performance, thermal stability, and degradation mechanisms.
• Collaborate with materials scientists and chemical engineers to source and synthesize novel battery components.
• Design and build prototype cells for laboratory testing and scale-up validation.
• Evaluate the lifecycle, cost, and scalability of new battery technologies for deployment in grid-scale applications.
• Work with system engineers to integrate storage solutions into renewable energy systems and data center applications.
• Contribute to the design of Battery Management Systems (BMS) for monitoring and control of advanced storage systems.
• Stay current with advancements in battery research, manufacturing processes, and safety regulations.
• Support grant proposals, SBIR projects, and customer engagements by providing technical insights into battery R&D.

Qualifications

• Bachelor’s or Master’s degree in Chemical Engineering, Materials Science, Electrochemistry, or a related discipline.
• 3+ years of hands-on experience in battery R&D, preferably in a lab or pilot manufacturing setting.
• In-depth understanding of electrochemical cell design, electrode fabrication, electrolyte formulations, and testing protocols.
• Familiarity with safety considerations and regulatory standards for grid-scale battery deployment.
• Experience using analytical tools such as EIS, CV, GC, SEM, and XRD for battery performance evaluation.
• Strong problem-solving and critical thinking skills with a passion for innovation.
• Excellent written and verbal communication skills for cross-functional collaboration and documentation.

Preferred Qualifications

• Ph.D. in a related field with a focus on battery chemistry or energy storage systems.
• Experience working on DOE-funded or ARPA-E battery research programs.
• Background in techno-economic analysis or lifecycle assessment (LCA) of energy storage technologies.
• Familiarity with modeling tools for electrochemical systems (e.g., COMSOL, MATLAB, or Python-based simulation frameworks).