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GPU Software Engineer (m / f / d) – CUDA / Numerical Methods / Energy Sector
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DevoteamKöln, NRW, DEGPU Software Engineer (m / f / d) – CUDA / Numerical Methods / Energy Sector
Jobactive GmbHKöln, deGPU Software Engineer (m / f / d) – CUDA / Numerical Methods / Energy Sector
JETZT BEWERBEN
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
STELLENDETAILS
EINSATZORT
50667 Köln
Nordrhein-Westfalen
Deutschland
BRANCHE
REFERENZNUMMER
29577987
KONTAKKTDATEN
Jobactive GmbH
Herr Milo Gräff
Im Zollhafen 18
50678 Köln
milo.graeff@jobactive
JETZT BEWERBEN MIT : BEWERBUNGSFORMULAR