Battery Systems | AI for Science | Energy Storage
Our client is a publicly listed, AI driven energy technology company operating at the intersection of advanced materials science, battery engineering, and machine learning. Their mission is simple but ambitious: accelerate the global energy transition by using AI to fundamentally change how batteries are designed, validated, and operated.
They are pioneers in applying AI directly to battery chemistry, materials discovery, and battery management systems, enabling next generation Li ion and Li metal batteries across transportation, energy storage, robotics, aviation, and defense adjacent applications.
The Opportunity Our client’s Energy Storage Systems R&D group is seeking a BMS & AI Edge Software Engineer to design and deploy AI centric State of X (SoX) algorithms that run on edge devices. This role sits squarely between battery physics, embedded software, and applied machine learning.
You will own algorithm development from concept through edge deployment, working closely with battery scientists, hardware engineers, and customer facing teams to bring production ready software into real world environments.
Key Responsibilities Algorithm R&D for SoX
- Design and implement SoX architectures covering charge, health, power, safety, degradation, and related metrics
- Translate models and logic into production grade code running on edge devices
- Collaborate with battery physicists and engineers on model selection and validation
- Research and evaluate alternative algorithms to improve accuracy, robustness, and performance
- Optimize models and software for real world operating constraints
- Present results internally and demonstrate measurable improvements
- Test and validate software as a production ready product using defined methodologies
- Support validation at customer sites or manufacturing plants as required
- Engage directly with customers to support deployment and technical approval
- PhD or Master’s in Electrical Engineering, Computer Science, AI, or a closely related field
- Equivalent hands on industry experience will be considered
- 5 to 9 years of experience in Li ion batteries, BMS, or ESS software engineering (10 years for Senior level)
- Strong background in BMS sensing and control software including voltage, temperature, current, and diagnostics
- Solid understanding of battery chemistries and characteristics such as OCV, C rate behavior, and impedance
- Experience developing data driven or AI based algorithms for battery systems, ideally deployed on edge or cloud
- Proven experience coding, integrating, validating, and delivering production software
- Exposure to customer facing delivery or deployment projects
- Battery characterization methods such as GITT, dQ/dV, or similar
- Power electronics knowledge including DC/DC or DC/AC conversion
- Familiarity with power delivery architectures such as UPS or battery backup systems for data centers
- Highly competitive base salary and strong benefits
- Meaningful equity participation in a publicly listed business
- Direct impact on globally relevant energy and sustainability challenges
- Work alongside leading experts in AI, battery science, and engineering
- Long term growth opportunities in a technically serious R&D environment
