Middle/Senior C+ Engineer (High Performance Computing) Middle/Senior C+ Engineer (High Performance Computing) 2 months ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Sign in to access AI-powered advices Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google We are seeking a skilled and motivated HPC Developer to join our team and contribute to the development of the computational core for digital twin modelling software. This module will perform high-performance grid calculations and advanced operations on GPUs and CPUs using state-of-the-art parallel computing techniques. You will play a critical role in designing, implementing, and optimizing asynchronous workflows with load balancing, memory allocation, and cross-platform execution capabilities. Key Responsibilities: Design and implement high-performance computation modules for grid operations. Develop algorithms optimized for both CPU and GPU architectures using modern frameworks like CUDA, OpenCL, OpenMP, SYCL, or MPI. Implement task-based parallelism and asynchronous execution strategies. Collaborate with the orchestration team to integrate task scheduling and resource management systems. Profile and optimize memory allocation, load balancing, and data movement across CPU and GPU. Ensure efficient communication between distributed processes using MPI or similar frameworks. Develop portable code that supports multiple hardware configurations (NVIDIA GPUs, AMD GPUs, CPUs). Leverage frameworks like SYCL, Kokkos, or OpenCL for cross-platform compatibility. Work closely with the backend and visualization teams to integrate the computation module with the overall Odin architecture. Implement APIs for seamless interaction between the computation module and other components. Develop unit tests, benchmarks, and validation procedures for computational accuracy and performance. Troubleshoot and debug issues across heterogeneous systems. Document code, algorithms, and design decisions to ensure maintainability and knowledge sharing. Experience and Qualification: 3+ years of experience in HPC, parallel computing, or numerical simulations. Proven experience in GPU programming (CUDA, HIP, or OpenCL). Hands-on experience with CPU parallelism using OpenMP, MPI, or similar frameworks. Familiarity with asynchronous workflows and task orchestration frameworks Bachelor’s or Master’s degree in Computer Science, Computational Physics, Applied Mathematics, or related fields. Programming Languages: Proficiency in C+. Rust or Julia experience is a plus. Parallel Computing: Strong understanding of GPU programming (CUDA, HIP, or SYCL) and multi-threaded CPU programming (OpenMP, MPI). Memory Management: Expertise in optimizing memory allocation, data movement, and