A senior hardware engineer in energy storage typically designs and tests power electronics, from circuit schematics to board layout and thermal management. Strong candidates bring several years of hands on experience with high voltage or high current systems and a record of taking hardware from prototype to production. At a company making supercapacitors and SuperBatteries for data centers, grids, transport and defense, that work likely involves rugged, efficient and reliable power conversion.
How it fits the AI era
AI is changing hardware engineering by speeding up simulation, design rule checks and test data analysis, so engineers can explore more options faster. What stays human is judgment about safety margins, component trade offs and physical failure modes that models may miss. The role still depends on hands on validation and clear documentation for critical systems.
How it builds AI experience
Working on energy storage for AI data centers and grids gives direct exposure to high power density and fast response requirements that AI workloads demand. Engineers can build AI experience by using simulation and data tools to predict thermal or electrical behavior, then validating against real tests. That mix of physical testing and data driven iteration is valuable for future power hardware.
Worth showing
- High voltage safety
- PCB layout and testing
- Thermal management
- Prototype to production
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Skeleton Technologies
Skeleton Technologies makes high-power energy storage systems, including supercapacitors and SuperBatteries, for AI data centers, power grids, transportation and defense (per the company).
#J-18808-Ljbffr
