High Performance Computing (HPC) Engineer - I

We are looking for an experienced High-Performance Computing (HPC) Engineer to design, develop, and optimize computational systems and software for large-scale data processing, simulations, and advanced analytics. The ideal candidate will have strong programming skills in C/C++ and experience with parallel computing, performance tuning, and HPC infrastructure.

Key Responsibilities:

• Develop and maintain high-performance software using C/C++, focusing on parallel and distributed systems.
• Optimize code for multi-core CPUs and GPU architectures using OpenMP, MPI, CUDA, or OpenCL.
• Profile, benchmark, and debug performance-critical code using tools like gprof, Valgrind, VTune, or nvprof.
• Collaborate with researchers and developers to adapt scientific algorithms for scalable computing.
• Work with Linux-based systems to manage HPC environments and integrate job schedulers such as SLURM or PBS.
• Contribute to the design and scaling of HPC systems and clusters.
• Support users in porting, debugging, and optimizing applications on HPC platforms.
  
  

Required Skills:

• Proficiency in C/C++ with strong fundamentals in memory management and performance optimization.
• Hands-on experience with parallel computing frameworks: OpenMP, MPI, CUDA, or OpenCL.
• Knowledge of system-level programming and Linux development environments.
• Familiarity with profiling and debugging tools for both CPU and GPU.
• Understanding of computer architecture, concurrency, cache optimization, and SIMD/vectorization.
• Experience with version control systems such as Git.
  
  

Preferred Qualifications:

• Familiarity with scientific computing libraries (e.g., Eigen, LAPACK, cuBLAS, PETSc, Trilinos).
• Experience working with HPC clusters, file systems (Lustre, GPFS), and InfiniBand or high speed interconnects.
• Exposure to real-time or robotics simulation environments.
• Knowledge of numerical analysis and floating-point computation issues.
  
  

Education:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Physics, or a related technical field.