System Software Specialist
3 weeks ago
Job Description
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.
Minimum Qualifications
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.
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