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Mpi Security Jobs (NOW HIRING)

KLA

Algorithm Software Architecture

Milpitas, CA · On-site

... MPI, multi‑GPU scaling, heterogeneous compute) • Establish performance engineering practices ... strategies, observability, security considerations • Mentor engineers; provide technical ...

Michael Page USA

Superintendent

The Colony, TX · On-site

They are able to provide job security with their lengthy backlog and promising ability to advance ... MPI encourages applications from minorities, women, the disabled, protected veterans and all other ...

KLA

Algorithm Software Architecture

Milpitas, CA · On-site

... MPI, multi‑GPU scaling, heterogeneous compute) • Establish performance engineering practices ... strategies, observability, security considerations • Mentor engineers; provide technical ...

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How much do mpi security jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for mpi security in the United States is $25.98, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $29.33 per hour, depending on experience, location, and employer.

What is MPI Security?

MPI Security jobs refer to positions responsible for maintaining the safety and security of facilities, assets, and people associated with the Manitoba Public Insurance (MPI). Employees in these roles may monitor surveillance equipment, control access to premises, respond to incidents, and enforce company security policies. MPI Security staff often work closely with law enforcement and emergency services to manage risks and ensure a secure environment for both staff and visitors.

What are the key skills and qualifications needed to thrive as an MPI Security professional?

To thrive as an MPI Security professional, you need a strong understanding of security protocols, risk assessment, and access control, often supported by relevant security certifications or training. Familiarity with security management systems, surveillance technologies, and incident reporting tools is typically required. Attention to detail, integrity, and excellent communication skills help individuals excel in this role. These competencies are crucial to ensure the safety of people and property, effectively respond to incidents, and maintain a secure environment.

What are some common challenges faced by professionals in MPI Security roles, and how can they be addressed?

Professionals working in MPI Security often face challenges such as keeping up with evolving security threats, managing large-scale parallel computing environments, and ensuring secure data transmission between nodes. Staying updated with the latest security protocols and regularly participating in industry training can help address these issues. Collaboration with IT and development teams is also crucial to implement robust security measures and respond effectively to incidents.

What is the difference between Mpi Security vs Security Guard?

AspectMpi SecuritySecurity Guard
Required CredentialsSecurity license, background check, trainingSecurity license, background check, training
Work EnvironmentCommercial, residential, event securityCommercial, residential, event security
Employer & Industry UsageSecurity companies, private firmsSecurity companies, private firms
Common Search & ComparisonYesYes

Both Mpi Security and Security Guard roles require similar credentials, including security licenses and background checks. They operate in comparable environments such as commercial, residential, and event security, often employed by security firms. The main difference lies in the specific company or service branding, but the roles and requirements are largely aligned, making them frequently compared in job searches.

More about Mpi Security jobs

What job categories do people searching Mpi Security jobs look for?

The top searched job categories for Mpi Security jobs are:

Mpi Security jobs near you
Infographic showing various Mpi Security job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $54,037 per year, or $26 per hour.

Senior HPC Applications Engineer

Parallel Works

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

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.

Apply