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About the Role

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. 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

Own the power systems engineering behind the platform's analysis modules from algorithm design through production code.
Design, develop, test, and validate scalable engines and workflows for distribution system analysis.
Perform distribution system analyses including 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.
Set technical direction for the platform's powerflow analysis architecture and lead cross-team initiatives (Principal level).
Engage with ENER-i product, engineering, and client delivery teams for tasks such as distribution model conversion, validation, and onboarding.
Translate utility planning practices and criteria into technical specifications.
Conduct technical design reviews and architecture decisions for analysis engines.
Validate platform results against commercial tools and field data.
Perform performance benchmarking and scale testing on utility-sized models.
Conduct client technical workshops, demonstrations, and user training.
Perform and deliver ENER-i based distribution planning studies when needed.
Design and implement production-grade Python libraries and services for distribution analysis, power flow orchestration, and optimization.
Scale simulations across thousands of feeders and full-year time-series through parallelization, cloud batch processing, and performance tuning.
Build and maintain distribution data models and model converters.
Develop algorithms for automated mitigation, hosting capacity, DER valuation, and grid planning using optimization, heuristics, and data-driven methods.
Establish test automation, validation suites, and engineering benchmarks.
Serve as a distribution subject matter expert to developers, product owners, and product managers.
Propose and prototype new ENER-i modules and help shape the technical roadmap.
Mentor engineers and developers, contribute to code and design reviews, and raise the bar on engineering practices.
Represent EPE through publications, open-source contributions, and industry working groups.

Requirements

Master's degree or Ph.D. in Electrical Engineering with a power systems focus, or a Bachelor's degree with equivalent experience.
3+ years (Engineer III) or 7+ years (Principal) of combined experience in distribution system analysis and software development.
Expert understanding of three-phase, unbalanced distribution systems, power flow formulations, and distribution planning practices.
Hands-on experience with at least one distribution modeling tool (e.g., OpenDSS, CYME, Synergi, WindMil, or GridLAB-D), including its APIs or automation interfaces.
Strong Python software engineering skills beyond scripting: packaging, typing, automated testing, Git, code review, and CI/CD.
A track record of building tools that other people use: libraries, applications, or open-source projects with real users.
Experience applying numerical methods and optimization (e.g., Pyomo, JuMP, Gurobi, HiGHS) to power systems problems.
Experience working with large data sets (time-series, AMI, SCADA) using tools such as pandas/Polars, SQL, or Parquet.
Strong communication skills, both written and verbal, particularly with respect to explaining complex technical matters.
Proven team player skills with ability to build and maintain internal and external relationships.
Familiarity with Agile software development methodologies (e.g., Scrum).
Proficiency in a compiled or high-performance language such as Rust, C++, Julia, or Java (Beneficial).
Contributions to open-source power systems tools (Beneficial).
Experience with cloud-native development, containers, and distributed or high-performance computing (e.g., AWS, Docker, Kubernetes) (Beneficial).
Experience with DER integration topics such as hosting capacity, IEEE 1547, DERMS, flexible interconnection, non-wires alternatives, and electrification load forecasting (Beneficial).
Breadth across transmission, controls, or T&D co-simulation (Beneficial).
Familiarity with GIS tools (preferably Esri) and utility network data models (Beneficial).
Experience leveraging machine learning and AI tools responsibly to improve engineering quality and productivity (Beneficial).
Publications or participation in IEEE PES or similar industry working groups (Beneficial).

Skills

Python
Distribution system analysis
Software development
Three-phase unbalanced distribution systems
Power flow formulations
Distribution planning practices
OpenDSS
CYME
Synergi
WindMil
GridLAB-D
API
Automation interfaces
Packaging
Typing
Automated testing
Git
Code review
CI/CD
Numerical methods
Optimization
Pyomo
JuMP
Gurobi
HiGHS
Large data sets
Time-series data
AMI data
SCADA data
Pandas
Polars
SQL
Parquet
Agile
Scrum
Rust
C++
Julia
Java
Cloud-native development
Containers
Distributed computing
High-performance computing
AWS
Docker
Kubernetes
DER integration
Hosting capacity
IEEE 1547
DERMS
Flexible interconnection
Non-wires alternatives
Electrification load forecasting
Transmission systems
Controls systems
T&D co-simulation
GIS tools
Esri
Utility network data models
Machine learning
Artificial intelligence
Publications
IEEE PES
Industry working groups

Location

Remote

Work Type

Full-time

Experience Level

Engineer III
Principal

Education Level

Master's degree in Electrical Engineering
Ph.D. in Electrical Engineering
Bachelor's degree with equivalent experience

Benefits

Comprehensive health and wellness benefits including medical, dental, and vision with 100% premium coverage for you
Generous PTO and paid holidays
MyShare Employee Ownership Program
Work with industry leaders
401K, up to a 4% match (100% vested from day 1)

About the Company

For more than half a century, Electric Power Engineers (EPE) has partnered with power and energy clients across the globe, providing consulting expertise and energy intelligence software solutions for complex engineering and grid modeling challenges.
As leaders in the renewables space, we are focused on building a modern, secure, and resilient grid.
Together we can transform the future of energy.

Equal Opportunity

EPE is an equal opportunity/AA/Disability/Veteran employer.