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.