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Freelance High Performance Computing Engineer Jobs in Lake Forest, IL

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

What You'll Do: We're looking for engineers to join our FPGA team that is building next-generation ... This is an opportunity to work on complex problems around networking, high performance computing ...

What You'll Do: We're looking for engineers to join our FPGA team that is building next-generation ... This is an opportunity to work on complex problems around networking, high performance computing ...

Data Center Technician

Chicago, IL ยท On-site

$30 - $36/hr

... high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime. Our network of 1,000+ field engineers operates globally, tackling the ...

Experience with high-performance computing, scalable memory allocation, and/or task scheduling * Knowledge of high-performance programming language such as C++ or Golang * Excellent ability to ...

Knowledge of GPU computing (CUDA or equivalent), parallel processing, and high-performance ... You'll work alongside world-class engineers, architects, and product leaders to build scalable ...

Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You'll collaborate with leading scientists, engineers ...

Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You'll collaborate with leading scientists, engineers ...

FPGA Engineer

Chicago, IL ยท On-site

$175K - $225K/yr

Our trading models and software systems are continually re-engineered, optimized, and maintained to ... Work on high-performance computing systems to break speed and performance boundaries * Build next ...

FPGA Engineer

Chicago, IL ยท On-site

$175K - $225K/yr

Our trading models and software systems are continually re-engineered, optimized, and maintained to ... Work on high-performance computing systems to break speed and performance boundaries * Build next ...

FPGA Engineer

Chicago, IL

$175K - $225K/yr

Our trading models and software systems are continually re-engineered, optimized, and maintained to ... Work on high-performance computing systems to break speed and performance boundaries * Build next ...

System Operations Engineer

Chicago, IL ยท On-site

$75K - $90K/yr

AI & High-Performance Computing: Support the hardware and software environments required for AI and ... Performance Engineering: Conduct system testing to identify inefficiencies in hardware (CPU/GPU ...

HPC Systems Engineer

Chicago, IL ยท On-site

$95K - $110K/yr

... High-Performance Computing (HPC), storage, and visualization resources. These resources include ... Bachelor's degree in Computer Science, Electronics Engineering or closely related field plus 5 ...

Showing results 21-40

Freelance High Performance Computing Engineer information

See Lake Forest, IL salary details

$53K

$130.1K

$191.6K

How much do freelance high performance computing engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for freelance high performance computing engineer in Lake Forest, IL is $130,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $146,000.00 per year, depending on experience, location, and employer.

What is a freelance high performance computing engineer?

A Freelance High Performance Computing (HPC) Engineer is a professional who specializes in designing, implementing, and optimizing computing systems that handle complex, large-scale computations. They work independently or on a contract basis for different organizations, helping to develop and maintain supercomputers, clusters, and parallel processing applications. Their expertise is often sought in fields like scientific research, finance, artificial intelligence, and engineering where processing large datasets quickly is essential. Freelancers in this field typically possess strong programming skills, knowledge of HPC architectures, and experience with performance tuning and troubleshooting.

What are the key skills and qualifications needed to thrive as a freelance high performance computing engineer?

To thrive as a Freelance High Performance Computing Engineer, you need expertise in parallel programming, cluster management, and a strong background in computer science or engineering. Familiarity with tools such as MPI, OpenMP, Linux environments, and cloud-based HPC platforms, along with certifications in cloud services or HPC technologies, is highly beneficial. Excellent problem-solving, project management, and communication skills set top freelancers apart when working with diverse clients. These competencies ensure the delivery of optimized, scalable solutions and effective collaboration in complex technical projects.

How do freelance high performance computing engineers typically collaborate with client teams during projects?

Freelance HPC Engineers often work closely with client engineering, research, or IT teams to design, implement, and optimize computational solutions. Collaboration usually occurs through regular virtual meetings, code reviews, and progress updates to ensure alignment with project goals and technical requirements. Clear communication and documentation are essential, as freelancers may need to integrate their work into larger systems or hand off projects to in-house teams. Building strong relationships and understanding the client's workflow help ensure successful project delivery and can lead to ongoing opportunities.

What is the difference between Freelance High Performance Computing Engineer vs Freelance Data Scientist?

AspectFreelance High Performance Computing EngineerFreelance Data Scientist
CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of HPC systemsDegree in data science, statistics, or related fields; proficiency in programming and analytics
Work EnvironmentSpecialized computing clusters, research labs, or cloud HPC platformsData analysis environments, cloud platforms, and business analytics tools
Industry UsageResearch institutions, scientific computing, engineering simulations
Search & Comparison IntentFocus on high-performance computing tasks, technical skills

While both roles involve advanced technical skills, Freelance High Performance Computing Engineers specialize in optimizing and managing large-scale computing resources for scientific and engineering applications. Freelance Data Scientists focus on analyzing data to extract insights for business or research purposes. The key difference lies in their core focus: HPC engineers work with hardware and system performance, whereas data scientists work with data analysis and modeling.

What cities near Lake Forest, IL are hiring for Freelance High Performance Computing Engineer jobs?

Cities near Lake Forest, IL with the most Freelance High Performance Computing Engineer job openings:

Data Center Technician

Introl

Chicago, IL โ€ข On-site

Part-time

Medical, Dental, Vision, Retirement

Re-posted 15 days ago


Job description

Job descriptionAbout Introl

Introl stands apart as a leader in GPU infrastructure deployments, specializing in large-scale GPU cluster deployments having deployed 100,000+ of the most advanced GPUs available. When failure is not an option, Introl delivers.

We set the benchmark for excellence with our top-tier solutions in high-performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime.

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in hyperscale data centers and advanced AI research facilities. We’re looking for exceptional talent who thrive in high-pressure, high-reward environments.

Position Overview

Introl is seeking experienced Data Center Technicians to join our team as hourly, project-based W-2 employees supporting GPU infrastructure deployment projects across the U.S. This role is ideal for individuals who enjoy hands-on technical work in fast-paced environments and are looking to contribute to high-impact, mission-critical deployments.

As a W-2 hourly employee, you will work under the direction of Introl project leadership and collaborate closely with cross-functional teams to execute data center builds, upgrades, and migrations. Assignments are project-based and may vary in duration, location, and scope depending on business needs.

This is an hourly position with compensation based on experience, project complexity, and location, with opportunities for continued project assignments based on performance and business demand.

Key Responsibilities

GPU Infrastructure & Hardware Management

Deploy, configure, and maintain large-scale GPU clusters and high-performance computing systems

Install, troubleshoot, and repair GPU servers, networking equipment, and associated hardware

Perform hardware diagnostics and coordinate large-scale fiber optic connectivity

Execute precise hardware migrations and rack installations

Data Center Operations

Monitor and maintain data center infrastructure including power, cooling, and environmental systems

Perform routine maintenance on servers, storage systems, and networking equipment

Execute data center migrations ranging from single racks to full facility relocations

Support optimal performance and availability of deployed systems

Technical Support & Troubleshooting

Diagnose and resolve complex hardware and network connectivity issues

Perform system upgrades, patches, and configuration changes

Document all work performed in accordance with company and industry standards

Quality Assurance & Safety

Adhere to applicable laws, rules, and regulations (e.g., OSHA, NEC)

Conduct quality control checks on all installations and deployments

Maintain clean room standards and proper electrostatic discharge procedures

Required Qualifications

Technical Skills

2+ years of experience in data center operations or hardware deployment

Strong knowledge of server hardware, networking equipment, and data center infrastructure

Experience with GPU systems, high-performance computing, or AI infrastructure preferred

Proficiency with fiber optic installations and network cabling

Understanding of power distribution, cooling systems, and environmental monitoring

Core Competencies

Ability to work in fast-paced, high-pressure environments

Strong problem-solving skills and attention to detail

Excellent communication and documentation abilities

Physical ability to lift up to 50 lbs. and work in confined spaces

Availability during nights, weekends, or non-standard hours as needed

Legal authorization to work in the U.S. without sponsorship

Certifications (Preferred)

CompTIA Server+ or equivalent hardware certification

Data center or network infrastructure certifications

Fiber optic installation certification

Vendor-specific certifications (NVIDIA, AMD, Intel)

Employment Structure & Expectations

This is a W-2 hourly, project-based position

Employees are scheduled and assigned to specific projects based on business needs

Work hours may vary depending on project timelines and operational requirements

Overtime may be required and will be compensated in accordance with applicable laws

Employees are expected to follow all company policies, safety standards, and reporting structures

Tools, equipment, and materials will be provided as required for project execution

Compensation & Benefits

Hourly rate commensurate with experience and project scope

Overtime eligibility in accordance with federal and state law

Access to Introl employee benefits (where applicable based on eligibility), which may include:

Medical, dental, and vision coverage

401(k) plan

Paid sick time in accordance with state/local requirements

Opportunities for continued project assignments and career growth within Introl