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Mpi Parallel Programming Jobs (NOW HIRING)

Strategic Tech Solutions LLC

Computer Engineer

Crane, IN · On-site

$111K - $131K/yr

Experience with pthreads, MPI, or other parallel programming frameworks is preferred. * Ability to work independently while collaborating effectively within a multidisciplinary engineering team.

Cymertek Corporation

HPC Software Architect

Reston, VA · On-site

Required : • Expertise in parallel programming models (e.g., MPI, OpenMP) • Strong knowledge of HPC system architectures and workflows • Experience with distributed systems and data-intensive ...

Cymertek Corporation

HPC Software Architect

Aurora, CO · On-site

Required : • Expertise in parallel programming models (e.g., MPI, OpenMP) • Strong knowledge of HPC system architectures and workflows • Experience with distributed systems and data-intensive ...

Siemens AG

WI · On-site

$100 - $125/hr

... MPI-parallel environment * Collaborate with other Simcenter development teams (HPC, pre ... Sc. or equivalent in mechanical engineering, computational mechanics, computer science, or a ...

Nvidia

Senior Developer Technology Engineer - AI

Austin, TX · Hybrid

$54 - $71.25/hr

A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. Hands on experience doing low-level performance optimizations. In-depth expertise with CPU and GPU ...

Nvidia

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. * Hands on experience doing low-level performance optimizations. * In-depth expertise with CPU and ...

Nvidia

Senior Developer Technology Engineer - AI

OR · On-site +1

$54.50 - $72/hr

A background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc. Hands on experience doing low-level performance optimizations. In-depth expertise with CPU and GPU ...

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Mpi Parallel Programming information

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$44.5K

$70.9K

$99K

How much do mpi parallel programming jobs pay per year?

As of Sep 8, 2026, the average yearly pay for mpi parallel programming in the United States is $70,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $88,500.00 per year, depending on experience, location, and employer.

What is the difference between Mpi Parallel Programming vs OpenCL Developer?

AspectMpi Parallel ProgrammingOpenCL Developer
Required CredentialsBachelor's in Computer Science or related field, knowledge of MPI librariesBachelor's in Computer Science, experience with OpenCL and GPU programming
Work EnvironmentHigh-performance computing clusters, scientific research labsGPU-enabled systems, hardware acceleration environments
Industry UsageScientific computing, simulations, research institutionsGraphics, parallel computing, hardware acceleration industries

While both Mpi Parallel Programming and OpenCL Developer roles involve parallel computing, Mpi focuses on distributed memory systems for large-scale scientific applications, whereas OpenCL developers work on GPU and hardware acceleration tasks. The roles overlap in parallel processing skills but differ in application focus and environment.

Infographic showing various Mpi Parallel Programming job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 82% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $70,857 per year, or $34.1 per hour.

Senior HPC Applications Engineer

Chicago, IL • On-site, Remote

Parallel Works
Software Development • 1 - 10 employees
Learn more about Parallel Worksexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Key responsibilities

  • Own and maintain the software stack, including compiling and packaging MPI implementations, compilers, and scientific libraries.

  • Enable AI and ML workloads by installing frameworks, configuring multi-node GPU launches, and diagnosing underlying system issues.

  • Triage tickets, diagnose failed jobs, and provide support to users to ensure successful job execution.

Job description

About Parallel Works
Parallel Works builds and operates ACTIVATE, a control plane for high performance computing and AI. Our customers run large scientific and AI workloads across their own on-premises clusters, Government and commercial cloud, and commercial GPU providers, and ACTIVATE gives them one way in to all of it. The high security boundary is authorized at Impact Level 5, with FIPS validated cryptography and STIG hardening throughout.
The work reaches most fields that depend on computing at scale: weather and climate forecasting, defense and intelligence programs, aerospace and structural analysis, molecular and materials science, energy, and AI research. A quarter here can include standing up a GPU cluster for one of those communities, federating a laboratory's existing on-premises system with burst capacity it did not have before, and getting a domain code written decades ago to run on current hardware.
Customer success sets our priorities. We are a small engineering company, so engineers here work directly with the people using the systems and carry a problem from the first report through to the fix. This is what we call mission engineering: understanding what a customer is trying to accomplish and why the computing matters to it.
About the role
Parallel Works is hiring a Senior HPC Applications Engineer to own the software stack and the user experience on our platforms. Our users are weather modelers, computational chemists, aerospace engineers, and AI researchers. The role is the escalation point for build failures, jobs that die partway through a multi-node run, and jobs running below expected throughput.
The scope covers both long-lived domain codes and current AI workloads, since customers run both on the same clusters. Users also move between on-premises systems, cloud, and commercial GPU providers, so a large part of the job is making an application behave the same across different compilers, site modules, MPI builds, and filesystems. Expect to spend a good share of the week talking to users.
What you will do
  • Software stack: compile and package MPI implementations (OpenMPI, MPICH, Intel MPI, HPC-X), compilers (GCC, Intel oneAPI, NVHPC), and scientific libraries, delivered through Spack or EasyBuild with Lmod module trees users can navigate.
  • Enable AI and ML workloads: install the frameworks customers ask for, get multi-node GPU launch working, and diagnose what sits below the framework: NCCL and collective behavior, container and driver mismatches, storage throughput, node faults mid-run. Customers drive their own toolchain choices.
  • Performance work: run scaling studies, profile with Nsight, VTune, TAU, HPCToolkit, or Score-P, and hand the finding to the systems team when the fix belongs in the fabric or the filesystem.
  • Portability: get customer codes running on new GPU architectures and new venues, using containers where that beats rebuilding against each site's modules.
  • User support: triage tickets, diagnose failed jobs to a root cause, and close them with a written explanation.
  • Documentation and training: user guides, office hours, and training for user communities, including formal Government training events.

Requirements
  • 10 or more years supporting scientific or AI application users on Linux HPC systems.
  • Building complex software from source on both RHEL family and Debian or Ubuntu systems: compilers, MPI, CMake and autotools, and the dependency problems that come with them.
  • Running Spack or EasyBuild and Lmod in production.
  • Experience with multi-node GPU workloads from the platform side, and the judgment to tell a framework problem from an environment problem.
  • Working with site provided software stacks on on-premises systems as well as cloud images where you control the whole stack.
  • Working knowledge of at least one application domain: weather and climate, computational fluid dynamics, molecular and materials science, or structural analysis.
  • United States citizenship and eligibility for a Secret clearance, since the work reaches export controlled Government environments. An active clearance is helpful but not required. We sponsor candidates who are eligible but not currently cleared.

You do not need every item on this list. If you have most of it and work well with other people, apply.
Preferred Qualifications
  • A prior user facing role at a Government supercomputing center, national laboratory, or university HPC center.
  • Depth in profiling and debugging tools: a GPU profiler, a CPU profiler, gdb, and MPI tooling.
  • Hands-on distributed training or inference work with PyTorch DDP or FSDP, DeepSpeed, Megatron style frameworks, JAX, vLLM, or TensorRT-LLM. Customers own their toolchains, so this is depth rather than a requirement.
  • Jupyter, remote visualization, or virtual desktop support for research users.

Benefits
Medical, vision, and dental coverage, a 401(k) with company match, short term disability, and generous paid vacation and sick time.
Equal employment opportunity
Parallel Works is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.

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