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Intel Jobs in Chicago, IL (NOW HIRING)

Donan

Forensic Engineer Contractor

Chicago, IL · On-site

Welcome to Donan Engineering (Powered by Alpine Intel), a leader in the property insurance intelligence industry. We are currently seeking a 1099 Independent Contractor professional Civil or ...

Nourish

Strategic Account Manager

Chicago, IL

Work existing relationships, third-degree connections, and internal intel from Nourish's field team to break into accounts that have been closed to us. * Sell service line leaders on Nourish as a ...

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Showing results 21-40

All JobsIntel JobsIntel Jobs in Chicago, IL

Intel information

See Chicago, IL salary details

$46.9K

$107.8K

$148.3K

How much do intel jobs pay per year?

As of Aug 22, 2026, the average yearly pay for intel in Chicago, IL is $107,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,800.00 and $122,100.00 per year, depending on experience, location, and employer.

What do employees at Intel do?

Employees at Intel work in a variety of roles focused on designing, manufacturing, and marketing semiconductor chips and related technologies. They may be involved in engineering, research and development, software, hardware design, manufacturing operations, or business functions like sales and marketing. At its core, Intel is known for producing microprocessors that power computers, servers, and other electronic devices. The company emphasizes innovation, collaboration, and cutting-edge technology to maintain its leadership in the semiconductor industry.

What are common challenges faced by engineers at Intel, and how can new hires navigate them?

Engineers at Intel often work on complex, large-scale projects that require close collaboration across multiple teams, sometimes in different time zones. New hires may find it challenging to quickly understand intricate technical systems and integrate into established cross-functional workflows. To succeed, it's helpful to proactively seek mentorship, participate in knowledge-sharing sessions, and make use of Intel's internal resources and documentation. Building strong communication skills and being open to feedback can also accelerate your integration and effectiveness within the team.

What skills and qualifications are needed to thrive as an Intel analyst?

To thrive as an Intelligence Analyst, you need strong analytical skills, attention to detail, and a relevant degree in fields like criminal justice, international relations, or political science. Familiarity with intelligence-gathering tools, data analysis software, and security clearance requirements is typically expected. Excellent communication, critical thinking, and teamwork abilities help you synthesize information and present actionable insights. These skills are crucial for accurately assessing threats and supporting informed decision-making in security and defense environments.

What is the difference between Intel vs Network Engineer?

AspectIntelNetwork Engineer
Required CertificationsCompTIA A+, Network+, Cisco certificationsCCNA, CompTIA Network+, Cisco certifications
Work EnvironmentIT departments, hardware labs, data centersCorporate offices, data centers, telecommunication companies
Industry UsageTechnology, manufacturing, governmentTelecommunications, IT services, corporate networks

Intel professionals typically focus on hardware, processors, and system components, often working in labs or manufacturing settings. Network Engineers primarily design, implement, and maintain network infrastructure within organizations. While both roles require networking certifications, Intel roles lean more towards hardware expertise, whereas Network Engineers focus on network connectivity and security.

What cities near Chicago, IL are hiring for Intel jobs?

Cities near Chicago, IL with the most Intel job openings:

Infographic showing various Intel job openings in Chicago, IL as of August 2026, with employment types broken down into 3% As Needed, 64% Full Time, 13% Part Time, 3% Temporary, and 17% Contract. Highlights an 63% In-person, 7% Hybrid, and 30% Remote job distribution, with an average salary of $107,798 per year, or $51.8 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