- Develop Transmission and Distribution network models using pandapower (Python)
- Convert and validate existing network models from CYME and GE PSLF into pandapower equivalents
- Ensure electrical fidelity between source models and converted models (topology, parameters, limits, results)
- Work with NVIDIA engineers in developing Powerflow analysis solution using GPUs and CUDA libraries
- Collaborate with power systems engineers, data scientists, and GPU/HPC specialists to enable GPU-accelerated simulations
- Assist in benchmarking CPU vs GPU performance for power system studies
- Document modeling assumptions, validation results, and technical findings for internal and executive audiences
Required Qualifications
- Bachelor’s or Master’s degree in Electrical Engineering (Power Systems focus preferred)
- Robust foundation in power system analysis, including:
- Power flow (AC/DC)
- Transmission and Distribution modeling
- Per-unit systems and network parameters
- Hands-on experience with power system planning tools
- Programming experience
Preferred Qualifications
- Experience with Transmission Planning and/or Distribution Planning studies
- Understanding of power system matrices (Y‑bus, Jacobian, PTDF/LODF)
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly
- Familiarity with pandapower or other open-source power system frameworks (strong plus)
- Ability to work with large-scale network models and complex datasets
📌 Power System Engineer (India)
🏢 Enexus Global
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.