GPU Software Engineer; HPC​/Deep Learning Optimization

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, optimize, and maintain GPU compute kernels using C++ and a GPU programming framework (CUDA, HIP, OpenCL, SYCL, Direct Compute / HLSL compute shaders, Metal compute, or equivalent).
• Profile GPU workloads and tune memory, compute, and latency to improve performance and efficiency.
• Analyze performance bottlenecks and apply targeted optimizations.
• Debug and resolve performance and stability issues.
• Apply kernel optimization to HPC or Deep Learning inference pipelines where needed.
• Collaborate with engineers, QA, and stakeholders.
• Follow coding standards and contribute to technical documentation.

• Hands on experience writing and optimizing GPU compute kernels in at least one framework: CUDA, HIP, OpenCL, SYCL, Direct Compute / HLSL compute shaders, Metal compute, or equivalent.
• Ability to profile and performance tune GPU code (memory, compute, latency) as part of that work.

(Opportunity for Poland-based candidates)

Tax-deductible costs on a contract of employment for all development roles

Stable employment based on an employment contract

Private Medical & Dental care & Life Insurance

MyBenefit program (sports card, well-being program etc.)

Internal Mobility program - possibility of rotation between projects, locations, accounts