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    12 hours ago


    chennai, India KLA Full time

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HPC system engineer

3 months ago


Chennai, India KLA Full time

Key Responsibilities:

Architect and Design High-Performance Compute Clusters:

• Collaborate with cross-functional teams to design, implement, and support HPC clusters.

• Optimize compute resources for maximum efficiency, considering CPU/GPU architecture, storage scalability, and high-bandwidth interconnects.

Project Specifications and Timelines:

• Understand project specifications and performance requirements at both subsystem and system levels.

• Drive adherence to project timelines, ensuring program milestones are achieved on schedule.

Efficiency and Optimization:

• Dive deep into system performance to identify bottlenecks and inefficiencies.

• Optimize job scheduling, infrastructure and parallel execution.

• Evaluate detailed timing of cluster operations and data transfer.

Linux OS Configuration:

Leverage your strong Linux skills to configure appropriate operating systems for the HPC environment.

Skills and Abilities:

• We’re looking for inquisitive problem-solvers who thrive on challenges.

• Excellent written and verbal communication skills are essential.

• Grow to lead a team of software engineers

• Team-oriented and highly motivated.

• Effective organization and time management.

• Adaptability to change in a rapidly growing environment.


Required Qualifications:

• Strong Object Oriented programming skills in Java and/or C++

• Proficiency in parallel programming and distributed computing.

• In-depth knowledge of Linux systems and internals.

• Ability to find and address bottlenecks in data movement, code execution, and job scheduling.

• Knowledge of libraries such as SIMD, AVX, IPP, MKL, openCV, openMP, OpenCL, MPI, and CUDA.

• Familiarity with performance profilers (Intel vTune, Nvidia Nsight compute, AMD uProf, perf).

• Strong understanding of HPC hardware (servers, GPUs, networking, storage, BIOS, BMC).

• Proficiency in Shell and Python scripting for test environments.


Preferred Qualifications:

• Experience with Kubernetes, Prometheus, and Grafana.

• BS or MS degree with 3 to 5 years of validated experience.

• Background in Computer Engineering or Electrical Engineering.


Preferred Qualifications:

• Experience with Kubernetes, Prometheus, and Grafana.

• BS or MS degree with 3 to 5 years of validated experience.

• Background in Computer Engineering or Electrical Engineering.


Education & Experience:

Doctorate (Academic) Degree and related work experience of 3 years

OR

Master's Level Degree and related work experience of 6 years

OR

Bachelor's Level Degree and related work experience of 8 years