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Hpc Mpi Openmp Jobs (NOW HIRING)

teKnoluxion

HPC Systems Engineer

Charlottesville, VA · On-site

HPC Systems Engineer Location: Charlottesville, VA Clearance Required: Active TS (SCI eligibility ... Experience with parallel computing frameworks (MPI, OpenMP) * Experience with configuration ...

teKnoluxion

HPC Systems Engineer

Charlottesville, VA · On-site

Overview HPC Systems Engineer Location: Charlottesville, VA Clearance Required: Active TS (SCI ... Experience with parallel computing frameworks (MPI, OpenMP) * Experience with configuration ...

KLA Corporation

Principal HPC Architect

Milpitas, CA · On-site

HPC Architecture & Engineering * Design and implement HPC clusters, including compute, storage ... Optimize MPI, OpenMP, CUDA, and other parallel programming frameworks. * Benchmark hardware and ...

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Hpc Mpi Openmp information

What are the key skills and qualifications needed to thrive as an HPC MPI/OpenMP Programmer, and why are they important?

To thrive as an HPC MPI/OpenMP Programmer, you need strong proficiency in parallel programming concepts, C/C++ or Fortran, and a solid background in high-performance computing, typically supported by a degree in computer science, engineering, or a related field. Experience with message passing interface (MPI), OpenMP, batch schedulers (like Slurm), and familiarity with Linux environments are essential, and certifications in HPC or parallel programming can be beneficial. Exceptional problem-solving abilities, teamwork, and clear communication skills help you collaborate with researchers and optimize complex computational tasks. These skills are vital for efficiently utilizing supercomputing resources, ensuring scalable code performance, and contributing to cutting-edge scientific research.

What is OpenMP in HPC?

OpenMP is an API used in high-performance computing (HPC) to enable multi-threaded programming in shared-memory environments. It allows developers to parallelize code easily using compiler directives, improving computational performance on multi-core processors. HPC professionals often use OpenMP alongside MPI to optimize complex simulations and data processing tasks.

What are HPC, MPI, and OpenMP?

HPC stands for High-Performance Computing, which involves using powerful computers and parallel processing to solve complex computational problems. MPI (Message Passing Interface) is a standardized protocol used for communication between processes in a distributed computing environment, commonly used in HPC clusters. OpenMP (Open Multi-Processing) is an API that supports multi-platform shared memory multiprocessing programming in C, C++, and Fortran, allowing developers to parallelize code easily for multi-core processors.

What is the difference between Hpc Mpi Openmp vs Hpc System Administrator?

AspectHpc Mpi Openmp

Hpc Mpi Openmp professionals focus on parallel programming, utilizing MPI and OpenMP to optimize high-performance computing applications. They typically have skills in programming, cluster management, and scientific computing. Hpc System Administrators, on the other hand, manage HPC infrastructure, ensuring system stability, security, and network performance. While both roles work in HPC environments, Hpc Mpi Openmp roles are more programming-centric, whereas Hpc System Administrators focus on system maintenance and support. Both roles often require similar certifications and work in research, academia, or industry sectors that rely on HPC resources.

What is a MPI job?

An MPI job involves running parallel applications that use the Message Passing Interface (MPI) to communicate between processes across multiple nodes in a high-performance computing (HPC) environment. MPI jobs are common in scientific and engineering simulations that require distributed computing and often involve job scheduling on clusters or supercomputers.

How to run a job in HPC?

Running a job in HPC involves submitting a job script to the scheduler, such as SLURM or PBS, which specifies resource requirements like CPU, memory, and runtime. The job script typically includes commands to load necessary modules, set environment variables, and execute MPI or OpenMP programs. Proper job management ensures efficient use of cluster resources and successful execution of high-performance computing tasks.

What does MPI mean in HPC?

In HPC, MPI (Message Passing Interface) is a standardized protocol used for communication between processes in parallel computing environments. It enables efficient data exchange across distributed systems, which is essential for high-performance applications that require scalable computation and often involves programming with MPI libraries in languages like C, C++, or Fortran.

What are some common challenges faced when optimizing code for both MPI and OpenMP in HPC environments?

Optimizing code that uses both MPI and OpenMP can be challenging because it requires balancing parallelism across distributed nodes (MPI) and within shared-memory nodes (OpenMP). Developers often encounter issues such as load imbalance, communication overhead, and thread contention. Debugging and profiling hybrid applications is more complex, as it involves understanding both inter-process and intra-process interactions. Successful optimization typically involves iterative testing, careful partitioning of tasks, and close collaboration with systems and application performance engineers.
Infographic showing various Hpc Mpi Openmp job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.
Exciting Opportunity for HPC Cluster & Scheduler Management consultant in Fremont, CA/ Tualatin, OR

Exciting Opportunity for HPC Cluster & Scheduler Management consultant in Fremont, CA/ Tualatin, OR

Noblesoft Technologies

Fremont, CA • On-site

Contractor

Posted 17 days ago

Job description

Hi

Role- HPC consultant

Location- Fremont, CA/ Tualatin, OR

HPC Cluster & Scheduler Management

  • Design, configure, tune, and optimize SLURM partitions, queues, QoS, and scheduling policies to maximize cluster utilization and workload efficiency.
  • Perform in-depth analysis of job scheduling behavior, bottlenecks, and resource contention.
  • Troubleshoot job failures, performance degradation, and scheduler-related issues in production HPC environments.
  • Implement fair-share, backfill, reservations, and policy-driven scheduling as required.

Storage Benchmarking & Procurement Support

  • Lead HPC storage performance benchmarking using industry-standard tools (e.g., IOR, FIO, MDTest, IOzone).
  • Analyze I/O patterns of HPC workloads and map them to appropriate storage architectures (parallel file systems, NVMe, Lustre, Spectrum Scale, etc.).
  • Provide technical input for storage selection and procurement, including performance expectations, sizing, and cost-performance tradeoffs.
  • Collaborate with vendors and internal teams during POCs and performance validation exercises.

HPC Application Build & Optimization

  • Build, install, configure, and maintain HPC applications, compilers, libraries, and scientific software stacks.
  • Optimize application performance using MPI, OpenMP, GPU acceleration (where applicable), and tuned math libraries.
  • Support multiple compiler toolchains (GCC, Intel, LLVM, NVIDIA HPC SDK, etc.).
  • Implement and manage environment modules (Lmod) or similar software management frameworks.

System Performance & Operations

  • Conduct system-level performance tuning across compute, memory, network, and storage layers.
  • Diagnose node-level issues involving CPU, GPU, interconnects (InfiniBand/Ethernet), and OS configurations.
  • Create operational runbooks, performance baselines, and troubleshooting documentation.
  • Support cluster upgrades, expansions, and hardware refresh activities.

Collaboration & Delivery

  • Work closely with application owners, researchers, and infrastructure teams to meet aggressive delivery timelines.
  • Translate workload requirements into practical HPC configurations and optimizations.
  • Provide clear technical guidance and recommendations to leadership and stakeholders.

Required Skills & Experience

Core HPC Skills

  • 8–12+ years of hands-on HPC engineering experience in production environments.
  • Strong expertise with SLURM (configuration, tuning, troubleshooting).
  • Solid understanding of Linux systems (RHEL/CentOS/Rocky/Alma preferred).
  • Deep knowledge of HPC storage systems and I/O performance analysis.
  • Proven experience building and optimizing HPC applications and libraries.

Technical Proficiency

  • MPI implementations (Open MPI, MPICH), OpenMP
  • Compilers and toolchains (GCC, Intel, NVIDIA HPC SDK)
  • Performance tools (perf, vtune, nvprof/nsys, IB diagnostics)
  • Environment modules (Lmod), package managers (Spack preferred)
  • Bash/Python scripting for automation and diagnostics

Nice to Have

  • Experience with GPU-based HPC workloads (NVIDIA CUDA, ROCm).
  • Exposure to cloud-based HPC (Azure, AWS, GCP).
  • Familiarity with parallel file systems such as Lustre or IBM Spectrum Scale.
  • Vendor engagement experience for HPC hardware/storage evaluations.