Power Systems Engineer

VeeAR Projects Inc.; United States; In loco; USD 110.000 - 160.000; Tempo pieno

Descrizione del lavoro

A leading technology firm in the United States is seeking a highly motivated Power Systems Engineer to support innovation initiatives focused on accelerating transmission and distribution planning tools using NVIDIA GPU technology. The ideal candidate will have strong power systems fundamentals and experience with planning tools, along with programming skills in Python. Responsibilities include developing models with pandapower, converting existing models, and collaborating with engineers to enable GPU-accelerated simulations.

Competenze

• Strong foundation in power system analysis including power flow (AC/DC).
• Hands‑on experience with power system planning tools.
• Programming experience in Python.
• Transmission and Distribution modeling experience.
• Hands-on experience with power system planning tools.
• Programming experience.

Mansioni

• Develop Transmission and Distribution network models using pandapower (Python).
• Convert and validate existing network models from CYME and Client PSLF into pandapower equivalents.
• Collaborate with engineers to enable GPU‑accelerated simulations.
• Work with NVIDIA engineers on GPU-accelerated powerflow analysis using CUDA libraries.
• Collaborate with power systems engineers, data scientists, and GPU/HPC specialists for 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.

Conoscenze

Power systems fundamentals

Hands‑on experience with planning tools

Programming skills

Communication skills

Formazione

Bachelor's or Master's degree in Electrical Engineering (Power Systems focus preferred)

Strumenti

pandapower

CYME

Client PSLF

Descrizione del lavoro

We are seeking a highly motivated Power Systems Engineer to support an innovation initiative focused on substantially accelerating Transmission and Distribution planning tools using NVIDIA GPU technology. This role will be responsible for modeling and converting existing Transmission and Distribution network models currently developed in CYME and Client PSLF into pandapower-based Python models, working with NVIDIA resources and performing steady state powerflow analysis for these models using GPUs and CUDA libraries.

The ideal candidate combines strong power systems fundamentals, hands‑on experience with planning tools, and programming skills, and is excited to work at the intersection of power engineering and high‑performance computing.

Key Responsibilities

• Develop Transmission and Distribution network models using pandapower (Python)
• Convert and validate existing network models from CYME and Client 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)
• Strong 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