Software Power Systems Engineer at Electric Power Engineers, Austin, TX

Software Power Systems Engineer at Electric Power Engineers in Austin, TX. Full-time. Est. up to $130k. Apply with swipeandhired.

We are designing the grid of the future!
ENER-i is a cutting-edge software solution from Electric Power Engineers (EPE) helping utility clients plan for the rapidly evolving electric grid and achieve their planning and operational goals through innovative digitalization. Backed by the collective expertise of EPE, ENER-i brings decades of industry engineering experience to the world of cloud-based, enterprise computing software. ENER-i's goal is to create a shared, secure, curated data platform, providing engineers with the means for intelligent data aggregation, insightful engineering analytics engines, GIS, network connectivity models, machine learning & augmented intelligence. Our mission is to close the gap between planning and operations; transmission and distribution and merge the interests of the government, the public, and private industry.

Responsibilities

Join us in leading the change!

The Software Power Systems Engineer will work as a core member of the ENER-i software development team, owning the power systems engineering behind the platform's analysis modules from algorithm design through production code. This involves designing, developing, testing, and validating scalable engines and workflows for distribution system analysis. Such analyses include but are not limited to: quasi-static time-series (QSTS) unbalanced power flow, hosting capacity and DER interconnection screening, automated thermal and voltage violation mitigation, value of DER and non-wires alternatives analysis, flexible interconnection , reliability analyses, resiliency analyses, and DERMS operational planning, and long-term capacity and investment planning.

The level of the role ( Engineer III, Senior, Principal, or Senior Principal) will be aligned to the candidate's depth of experience. Principal-level engineers are expected to set technical direction for the platform's powerflow analysis architecture and lead cross-team initiatives.

The Software Power Systems Engineer will also engage with the ENER-i product, engineering, and client delivery teams for tasks such as:

• Distribution model conversion, validation, and onboarding (e.g., CYME, Synergi , WindMil , OpenDSS )
• Translating utility planning practices and criteria into technical specifications
• Technical design reviews and architecture decisions for analysis engines
• Validation of platform results against commercial tools and field data
• Performance benchmarking and scale testing on utility-sized models
• Client technical workshops, demonstrations, and user training
• Perform and deliver ENER-i based distribution planning studies when needed

How you can make an impact:

• Design and implement production-grade Python libraries and services for distribution analysis, power flow orchestration, and optimization within the ENER-i platform.

• Scale simulations across thousands of feeders and full-year time-series through parallelization, cloud batch processing, and performance tuning – including compiled languages (e.g., Rust, C++) where it matters.

• Build and maintain distribution data models and model converters that bring utility network models (CYME, Synergi , WindMil , OpenDSS , GIS) into a common, validated representation.

• Develop algorithms for automated mitigation, hosting capacity, DER valuation, and grid planning using optimization (LP/MILP), heuristics, and data-driven methods.

• Establish test automation, validation suites, and engineering benchmarks that keep platform results accurate and trustworthy.

• Serve as a distribution subject matter expert to developers, product owners, and product managers; review requirements and user stories for engineering correctness.

• Propose and prototype new ENER-i modules and help shape the technical roadmap with product management.

• Mentor engineers and developers, contribute to code and design reviews, and raise the bar on engineering practices across the team.

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