GPU Software Engineer (m/f/d) – CUDA / Numerical Methods / Energy Sector

Project Overview A leading energy-sector company is looking for an experienced

GPU Software Engineer

with strong expertise in

CUDA ,

GPU-accelerated numerical computation , and

matrix operations .

The project focuses less on LLM/AI topics and instead centers on

power flow calculations

and

large-scale numerical simulations

that must be efficiently executed on

NVIDIA GPUs .

You will work on porting, optimizing, and accelerating computational code onto

CUDA , leveraging frameworks such as

cuBLAS, cuSOLVER, cuSPARSE , or similar, as well as NVIDIA tooling (incl.

QDSS , Jetson toolchain if relevant).

Key Responsibilities

Porting and optimizing

power flow / power system calculations

to run on NVIDIA GPU hardware

Designing and implementing

high-performance CUDA kernels

for matrix operations and numerical solvers

Profiling and optimizing GPU execution using NVIDIA tooling (e.g.,

qdss , Nsight Systems/Compute)

Working with large-scale

matrix algebra , linear equation solving, iterative solvers, and sparse/dense matrix handling

Adapting existing CPU-based simulation code to GPU environments

Ensuring numerical stability and precision in GPU-accelerated computation

Close collaboration with power system engineers and simulation experts

Documentation and handover of GPU-optimized modules

Optional: contribution to Jetson-based environments if needed

Required Skills

Strong experience in

CUDA

development (custom kernels, memory management, warp optimization)

Background in

numerical linear algebra , matrix operations, and solving systems of equations

Experience with GPU-accelerated libraries such as:

cuBLAS, cuSOLVER, cuSPARSE, Thrust , or similar

Knowledge of

NVIDIA debugging/profiling tools

(e.g., qdss, Nsight)

Solid understanding of HPC concepts (parallelization, compute efficiency, memory hierarchy)

Ability to work independently in a nearshoring/remote setup

Very good English communication skills

Nice to Have

Experience with

power flow calculations , electrical grid simulation, or energy modeling

Experience with

NVIDIA Jetson

platforms

Familiarity with

Python

bindings (Numba/cuPy) or C++ integration

Background in energy sector or critical infrastructure

Knowledge of GPU cluster environments

Project Conditions

Start:

Flexible, ideally soon

Duration:

6+ months with likely extension

Mode:

Remote / nearshore-friendly

Onsite:

Not required regularly

Language:

English

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