GPU-Accelerated Power Systems Engineer (Remote)

Blackhornvc; United States; On-site; USD 150,000 - 200,000; Full time

Job summary

Thinklabs AI is seeking a Power Systems Engineer to design and build GPU-accelerated, high-performance power system simulation software in modern C++ with CUDA. The role involves algorithm research, production-quality code, and collaboration with AI engineers and HPC experts to accelerate energy transition.

You will lead architecture, performance benchmarking, and scalable development across CPU/GPU, with Python integration and a remote-friendly collaboration model.

Qualifications

• Master's degree in electrical engineering with at least 3 years of relevant experience.
• Strong background in transmission and/or distribution system analysis; familiarity with PSS/E, PSLF, DSATools, OpenDSS, ETAP.
• Proven experience developing high-performance or computational software in modern C++ (C++17+).
• Hands-on GPU programming with CUDA; profiling, optimization, and async execution.
• Solid mathematics background in linear algebra, sparse methods, and numerical techniques.
• Fluent Python and Linux experience; Docker and microservice environments.
• Experience applying AI/ML to physical systems; familiarity with ML tooling.

Responsibilities

• Design and implement power system algorithms that are robust and scalable.
• Ensure numerical correctness and reproducibility across CPU and GPU implementations.
• Architect GPU-accelerated compute capabilities across the platform.
• Optimize numerical workloads for modern GPU hardware with memory management and batching.
• Profile workloads, identify bottlenecks, and drive performance improvements.
• Improve data movement between native code and Python/service components.
• Contribute to build, test, deployment, and performance-validation infrastructure.
• Mentor engineers and collaborate with AI and power systems teams remotely.

Skills

C++ (CUDA)

GPU programming

Power systems

Python

Performance optimization

Education

Master's degree in Electrical Engineering

PhD preferred

Tools

CUDA

Job description

Thinklabs AI is seeking a Power Systems Engineer to design and build GPU-accelerated, high-performance power system simulation software in modern C++ with CUDA. The role involves algorithm research, production-quality code, and collaboration with AI engineers and HPC experts to accelerate energy transition.

You will lead architecture, performance benchmarking, and scalable development across CPU/GPU, with Python integration and a remote-friendly collaboration model.