sre

2 weeks ago

Bengaluru, Karnataka, India Enterprise Minds, Inc Full time

We're Hiring: HPC / Performance Engineer (4–7 Years)

Location: Bangalore

Experience: 4 to 7 Years

Mode: Hybrid

About the Role

We are looking for a High-Performance Computing (HPC) / Performance Engineer to join our cutting-edge infrastructure and performance engineering team. The ideal candidate will have a strong background in parallel computing (MPI/OpenMP), performance benchmarking, and system reliability engineering, with hands-on exposure to datacenter servers, GPUs, and profiling tools.

If you love scaling applications, optimizing workloads, and pushing systems to their limits, this role is for you.

Key Responsibilities

Design, scale, and optimize applications using HPC technologies (OpenMP, MPI, Intel MPI).

Run benchmarking & validation across CPUs, Memory, Storage, and Network subsystems.

Perform profiling and performance analysis using Intel VTune, Intel Advisor, and Intel Parallel Studio.

Automate and monitor infrastructure performance with Prometheus, Grafana, and Tenable.

Benchmark server workloads with tools like SPEC CPU, SPECJBB, Phoronix, FIO, Sysbench, Stress-NG.

Work on both virtualized and bare-metal environments (Kubernetes, Docker, GPU/FPGA acceleration).

Support proof-of-concepts (POCs), performance reports, and system readiness validation.

Collaborate with cross-functional teams to drive infrastructure efficiency and application modernization.

What We're Looking For

  • Bachelor's/Master's in Computer Science, Engineering, or related field.
  • 4–7 years of experience in HPC, Performance Engineering, or SRE.
  • Strong programming background in Python, C/C++, Linux Shell scripting, Go, or Java.
  • Expertise in HPC parallel computing (MPI/OpenMP).
  • Hands-on with Linux environments (Windows exposure is a plus).
  • Strong knowledge of benchmarking tools (SPEC, Phoronix, Intel Profiler Suite).
  • Familiarity with datacenter platforms (Intel, AMD, NVIDIA, FPGA, Mellanox RDMA).
  • Knowledge of Kubernetes/Docker and job schedulers (Slurm, PBS, LSF) is a bonus.

Why Join Us?

Work with next-gen datacenter servers and accelerators.

Be part of a team solving complex HPC and performance challenges.

Collaborate with leading research institutions & enterprises.

Grow into Technical Specialist / Architect roles in Performance & HPC.

How to Apply

If you are passionate about HPC, performance engineering, and large-scale infrastructure, we'd love to connect

Share your profile with us at deepika.balijepally@eminds.ai

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