
Artificial Intelligence • Hardware • Science
Stream HPC is a software house specializing in high-performance computing and GPGPU acceleration that helps companies and research groups make compute-intensive applications run much faster. They provide software development, performance tuning, porting (CUDA to HIP/OpenCL/SYCL), consultancy, training, and appliances for CPUs, GPUs, FPGAs and embedded systems, and work across domains such as molecular dynamics, image processing, computational finance, weather, and AI. Stream HPC is an experienced partner for R&D-focused SMEs, corporations and research institutes, and a recognized expert in CUDA, HIP, OpenCL, Vulkan, Metal and related performance technologies.
August 13

Artificial Intelligence • Hardware • Science
Stream HPC is a software house specializing in high-performance computing and GPGPU acceleration that helps companies and research groups make compute-intensive applications run much faster. They provide software development, performance tuning, porting (CUDA to HIP/OpenCL/SYCL), consultancy, training, and appliances for CPUs, GPUs, FPGAs and embedded systems, and work across domains such as molecular dynamics, image processing, computational finance, weather, and AI. Stream HPC is an experienced partner for R&D-focused SMEs, corporations and research institutes, and a recognized expert in CUDA, HIP, OpenCL, Vulkan, Metal and related performance technologies.
• Design and develop high-performance software using HPC and GPGPU technologies such as CUDA, HIP, SYCL, OpenCL, and MPI. • Build software and libraries, from design to delivery • Designing and implementing parallel algorithms • Collaborate with team members to understand client needs and deliver tailored solutions to the client directly. • Optimize code and data streams to achieve maximum performance on both GPUs and CPUs. • Participate in project management activities, ensuring efficient problem-solving and project delivery. • Engage in continuous learning and professional development to stay updated with the latest technological advancements.
• Having at least 5 years of experience with CPUs and GPUs. • Proficiency in C/C++ with the ability to start a project from scratch. • Good understanding of HPC and GPGPU technologies such as CUDA, HIP, SYCL, OpenCL, and MPI. • Proficiency in writing GPU kernel code. • Excellent problem-solving skills and attention to detail. • Strong understanding of how to code and data stream through CPUs and GPUs. • Ability to work both independently and as part of a team in a hybrid setting and international work environment. • Strong communication skills in English, both verbal and written. • Openness to new experiences, feedback, and continuous learning. • Comfort with dealing with the unknown and tackling new challenges. • Familiarity with project management principles and practices is a plus.
• Check out our hiring process and what we have to offer • Want to learn more about our culture? Check here • We plan to grow the team throughout the year.
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