Padmi

HPC Software Developer

BangalorePosted 30 days ago
Software engineeringSenior
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Job Title : HPC Software Developer

Experience : 5 - 15 Years

Location : Bengaluru

Roles & Responsibilities

Develop and integrate High-Performance Computing (HPC) applications for complex scientific and engineering workloads.

Design, analyze, and optimize algorithms using parallel computing technologies such as MPI, OpenMP, CUDA, and GPU/CPU programming.

Support development and modernization of scientific computing workflows and HPC software solutions .

Perform performance engineering, code optimization, and scalability analysis for HPC applications.

Port and optimize CPU-based applications for GPU environments .

Collaborate with engineering, research, and technology teams to deliver scalable HPC solutions.

Maintain and support a portfolio of HPC tools, frameworks, and software applications .

Provide technical guidance on best practices for HPC software development and execution .

Work closely with infrastructure teams on HPC environments, storage, networking, and cloud integration .

Identify opportunities for automation, workflow optimization, and new HPC capabilities .

Support adoption of modern technologies including cloud computing, AI/ML, and scientific computing platforms .

Troubleshoot performance bottlenecks and improve reliability of HPC systems and applications.

Requisites

Bachelor’s/Master’s degree in Computer Science, Engineering, Computational Science, or related field.

Strong programming expertise in C/C++ and parallel computing technologies .

Hands-on experience with MPI, OpenMP, CUDA, GPU programming, and HPC environments .

Strong understanding of scientific computing, numerical methods, and large-scale computational systems .

Experience with performance analysis, optimization, and scalability engineering .

Familiarity with Linux operating systems and HPC infrastructure technologies .

Knowledge of cloud computing platforms and cloud-based HPC solutions.

Exposure to AI/ML frameworks such as PyTorch or TensorFlow is an advantage.

Understanding of storage, networking, and distributed computing architectures .

Ability to collaborate across cross-functional and global teams.

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