Middle/Senior C++/Python Engineer (High Performance Computing)

7 Hours ago • 3 Years + • Programming

Job Summary

Job Description

Seeking a skilled HPC Developer to build computational cores for digital twin modeling software, focusing on high-performance grid calculations and advanced GPU/CPU operations using parallel computing. Responsibilities include designing, implementing, and optimizing asynchronous workflows, load balancing, memory allocation, and cross-platform execution. Key tasks involve developing high-performance computation modules, optimizing algorithms for CPU and GPU using frameworks like CUDA or OpenCL, implementing task-based parallelism, collaborating on task scheduling, and ensuring efficient communication between distributed processes. The role requires developing portable code for various hardware, integrating computation modules with the Odin architecture, and implementing APIs. Additionally, candidates will develop tests, benchmarks, troubleshoot heterogeneous systems, and document code.
Must have:
  • 3+ years HPC/parallel computing experience
  • GPU programming (CUDA, HIP, OpenCL)
  • CPU parallelism (OpenMP, MPI)
  • Asynchronous workflows
  • C++/Python proficiency
  • Strong problem-solving
  • Excellent communication
Good to have:
  • Rust or Julia experience
  • SYCL, Kokkos experience
  • Oil and gas simulation software experience
  • Containerization (Docker, Kubernetes)
  • Advanced numerical methods
Perks:
  • Flexible working format (remote, office, flexible)
  • Competitive salary
  • Good compensation package
  • Personalized career growth
  • Professional development tools
  • Active tech communities
  • Education reimbursement
  • Anniversary presents
  • Corporate events and team buildings
  • Location-specific benefits

Job Details

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
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

*not applicable for freelancers

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About The Company

Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

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