- Senior C++ Engineer (High Performance Computing) Senior C++ Engineer (High Performance Computing) (#2839) REFERRAL BONUS $1000 WELCOME BONUS $2000 Colombia Work type: Office/Remote Technical Level: Senior Job Category: Software Development Project: Global software and consulting company 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 unified memory (e.g., CUDA UVM). - Load Balancing: Experience with dynamic and static load-balancing techniques in HPC systems. - Experience with orchestration tools - Strong problem-solving skills and ability to work in a multidisciplinary team. - Excellent communication skills for cross-team collaboration and documentation. - Passion for innovation and a drive to push technological boundaries. Preferred Qualifications: - Experience in developing simulation or visualization software for oil and gas or similar industries. - Familiarity with modern containerization technologies (e.g., Docker, Kubernetes). - Knowledge of advanced numerical methods like finite element/volume methods, deep learning or deep neural operators. We offer*: - Flexible working format - remote, office-based or flexible - A competitive salary and good compensation package - Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) - Active tech communities with regular knowledge sharing #J-18808-Ljbffr