Middle/Senior C++/Python Engineer (High Performance Computing) Middle/Senior C++/Python Engineer (High Performance Computing) (#2839) REFERRAL BONUS $1000 WELCOME BONUS $2000 Colombia Work type: Office/Remote Technical Level: Middle 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++/Python. 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 I agree to receive marketing information from N-iX such as job offers, events, etc. (We promise not to spam you). We’ll drop you a note when there are new jobs that match your search. Subscribe to your search result We’ll drop you a note when there are new jobs that match your search. Enter your email address By clicking subscribe, you agree to receive emails from us about open positions. There’s anunsubscribelink in the email if you change your mind later. We value your privacy #J-18808-Ljbffr