Epirus combines the latest in directed energy, long-pulse high-power microwaves (HPM), AI, and advanced electronics for unmatched electronic warfare effects. The Leonidas family of HPM systems by Epirus are the most effective non-kinetic cUAS and counter...
About the role
At Epirus, you’ll work with technical peers and great people—and get first crack at some of the defining technology challenges of our time. Here, “impossible” is just a challenge. We're a diverse, fast-growing team of change-makers fueling the future of energy with revolutionary solutions. Join us and rewrite the rules.
What they're looking for
- Minimum of 2 years of professional engineering experience in one or more of the following domains: Systems Engineering, Data Engineering, or Modeling & Simulation
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Aerospace Engineering, or a related technical field
- Demonstrated experience contributing to the definition or management of a technical system baseline
- Proficiency in at least one programming language (e.g., Python, C, or C++)
More about this role
Epirus is a high-growth technology company dedicated to overcoming the asymmetric challenges inherent to the future of national security. Epirus' flagship product, Leonidas, is a software-defined system built using intelligent power management techniques which allow power-hungry systems to do more with less.
At Epirus, we’re always looking ahead—and that includes building relationships with forward-thinking engineers who want to shape the future of defense technology. While we may not have an immediate opening that matches your background, we invite you to express interest in future Systems Engineering opportunities.
Whether your strengths lie in Data Engineering, Core Systems Engineering, or Modeling & Simulation, there could be a place for you on our team as we grow.
**This posting is for resume collection in anticipation of future opportunities. A member of our Talent Acquisition team will contact you if a suitable position becomes available.**
- Design, implement, and maintain production-quality data pipelines and transformation workflows with clear, reproducible documentation.
- Optimize existing pipelines for performance, scalability, and reliability.
- Manage large-scale...
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