
Software Engineer @ Stream Hpc
2 weeks ago
Are you passionate about building extremely fast software using the latest hardware? Stream HPC is a self-funded, IT consultancy company specializing in "simply" building software using both GPUs and CPUs and the most efficient HPC and GPGPU tech.
We are specialists in performance-driven software designs, GPUs and high-end CPUs and we tackle serious problems with a playful spirit.
You will work on a variety of projects, leveraging GPUs and CPUs, to solve complex scientific computing problems for clients worldwide.
For over 10 years we’ve been called on by companies worldwide to solve their HPC and GPU problems.
We are based in Amsterdam but now we are focused on expanding our Hungarian Office.
As we have a small team, we seek people with the right attitude for personal and professional growth. Requirements Having at least 3-4 years of experience with CPU and GPUs Good understanding of HPC and GPGPU technologies such as CUDA, HIP, SYCL, Open CL, and MPI.
Proficiency in C/C++ with the ability to start a project from scratch using C/C++ Strong understanding of how to code and data stream through CPUs and GPUs.
Excellent problem-solving skills and attention to detail.
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.
Living in Budapest, commuting to the office twice a week.
Familiarity with project management principles and practices is a plus.
Note that visa sponsorship or relocation is not available for this position.
,[Design and develop high-performance software using HPC and GPGPU technologies such as CUDA, HIP, SYCL, Open CL, 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.
] Requirements: GPU, CUDA, C, C++, Project management
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