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GPU Software Engineer (HPC / Deep Learning Optimization)
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Req. VR-122246
We are looking for a Software Engineer focused on GPU computing, HPC workloads, and Deep Learning inference optimization on Windows platform. The project is aimed at improving performance and efficiency of GPU-based workloads, including compute kernels and inference pipelines. The role is not limited to graphics APIs and is suitable for candidates with strong experience in CUDA, OpenCL, or similar technologies, as well as shader-based optimization.
Develop and optimize GPU workloads using C++ and GPU programming frameworks
Improve performance of HPC or Deep Learning inference pipelines
Analyze bottlenecks and optimize memory, compute, and latency
Perform GPU profiling and performance tuning
Debug and fix performance and stability issues
Collaborate with engineers, QA, and stakeholders
Follow coding standards and contribute to technical documentation
Must have
Familiarity with shader development (HLSL, GLSL etc) OR kernel development (CUDA, HIP, OpenCL, etc)
Experience with HPC or Deep Learning inference optimization
Experience with profiling tools (Nsight, Radeon GPU Profiler, PIX, etc.)
Nice to have
Strong knowledge of C++
Experience with Deep Learning frameworks (TensorRT, ONNX Runtime, PyTorch, etc.)
Understanding of graphics pipelines and rendering basics
Experience with a graphics API (DirectX, Vulkan, Metal, etc)
Experience with CI/CD, version control, or automated testing
Experience with GPGPU development (CUDA/HIP/OpenCL)
Languages
English: B2 Upper Intermediate
Seniority
Senior
Belgrade, Serbia
Req. VR-122246
C Embedded
Automotive Industry
30/04/2026
Req. VR-122246
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