6 of 6 Remote Parallel Computing Jobs

Developer, you will: Build and maintain cloud native web applications using Python, Python Flask, SQLAlchemy, and PostgreSQL. Develop background daemons and orchestration services for parallel optimisation algorithms. Good knowledge about Parallel Computing, Virtual Computing, Cloud Computing and Dockerization Architect system workflows, database structures, and cloud … encouraged to innovate. What You Bring to the role of Senior Python Full Stack Developer : Strong full stack Python development experience. Experience with cloud computing, Docker, and CI/CD pipelines. Ability to design and build background services and parallel computing workflows. Excellent communication skills — able ...

Frequency: Weekly Start Date: ASAP Overview We are seeking an experienced HPC Linux Systems Engineer to deploy, configure, optimise and support high-performance computing (HPC) environments. This includes large-scale Linux clusters, GPU-accelerated systems, and associated storage, networking, and authentication infrastructure. Although this role is hybrid … access/workflows Requirements Strong Linux administration in HPC or large-scale environments Experience with automation and cluster provisioning Knowledge of Slurm, MPI, and parallel computing Experience with GPU/CUDA environments Understanding of system performance tuning Familiarity with identity management and security best practices Previous experience operating ...

sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware. - Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming. - Collaborate with Waabi's autonomy and hardware teams to ensure the efficiency … computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking). - Data-parallel algorithms . You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing ...

sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware. - Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming. - Collaborate with Waabi's autonomy and hardware teams to ensure the efficiency … computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking). - Data-parallel algorithms . You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing ...

Electromechanical Control Systems Proficiency in a high-level programming language such as Python, C/C++, Java or others, with experience using scientific computing and numerical libraries. Experience with software engineering principles, including object-oriented design, data management, multi-threading/multi-processing, and collaborative source control using Git. … utilizing multiple network communication protocols (e.g., TCP/IP, SSL, TLS, DDS, REST) or hardware interface standards (e.g., CAN bus, Modbus). Experience with parallel computing for high-performance simulations Experience with real-time simulation platforms (e.g., OpalRT, Typhoon HIL, Speedgoat). Experience with software testing methodologies, including ...

optimize GPU-accelerated applications. Good team player who will work with team to contribute to design. He will work to implement, and debug parallel algorithms. Analyze performance bottlenecks and optimize computations for maximum efficiency. Document code, algorithms, and procedures clearly for internal and external stakeholders. Technical Skills Must Have … Excellent problem-solving skills and logical reasoning capabilities. Ability to learn quickly and adapt to new technologies. Technical Skills - Good to have Familiarity with parallel computing concepts. Exposure to GPU programming (CUDA/OpenCL). Having Worked in Cuda Frameworks like RAPIDS, cuDF, cuTensor, PyTorch, TensorFlow ...