HPC Developer - Python

Job Description :

Job Title : HPC Developer (Python)

Experience : 5 Years

Notice Period : Immediate (15 Days)

Job Summary :

We are seeking a highly skilled HPC Developer with strong Python expertise to design, develop, and optimize high-performance computing applications. The ideal candidate will have experience in parallel computing, distributed systems, performance optimization, and scientific/data-intensive workloads. The candidate will collaborate with cross-functional teams to build scalable solutions for large-scale computations.

Key Responsibilities :

• Design, develop, and maintain HPC applications using Python.
• Implement parallel and distributed computing solutions using frameworks such as MPI, OpenMP, Dask, Ray, or Spark.
• Optimize computational workloads for multi-core CPUs and GPUs.
• Work with large-scale datasets and improve algorithmic efficiency.
• Develop and maintain performance benchmarking and profiling tools.
• Collaborate with research, data science, and engineering teams to translate requirements into scalable solutions.
• Deploy and manage applications on HPC clusters and cloud-based HPC environments.
• Ensure code quality through testing, code reviews, and documentation.
• Troubleshoot and resolve performance bottlenecks and system-level issues.

Required Skills &

Qualifications :

• 5 years of software development experience with strong Python programming skills.
• Hands-on experience in parallel programming (MPI4Py, multiprocessing, threading).
• Experience with HPC frameworks and distributed computing tools.
• Strong understanding of Linux/Unix environments.
• Experience with SLURM, PBS, or other job schedulers.
• Knowledge of performance tuning, profiling, and memory optimization.
• Experience with scientific libraries such as NumPy, SciPy, and Pandas.
• Familiarity with containerization tools such as Docker and Singularity.
• Strong debugging, analytical, and problem-solving skills.

Preferred / Good to Have :

• Experience with cloud HPC environments.
• Exposure to GPU computing and workload optimization.
• Experience handling scientific or large-scale data processing workloads.