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Temporary Gpu Programming Jobs in Chicago, IL (NOW HIRING)

Temporary Gpu Programming information

See Chicago, IL salary details

$34K

$66.9K

$98.4K

How much do temporary gpu programming jobs pay per year?

As of Aug 7, 2026, the average yearly pay for temporary gpu programming in Chicago, IL is $66,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $82,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a temporary GPU programmer, and why are they important?

To thrive as a Temporary GPU Programmer, you generally need strong proficiency in parallel programming, C/C++, and deep knowledge of GPU architectures, often supported by a degree in computer science or a related field. Familiarity with technical tools like CUDA, OpenCL, and GPU profiling/debugging systems is typically required. Problem-solving ability, attention to detail, and effective communication are standout soft skills for this role. These skills ensure efficient development, optimization, and troubleshooting of GPU-accelerated applications in a fast-paced, project-based environment.

What types of projects or tasks are commonly assigned to temporary GPU programming roles?

Temporary GPU programming roles typically focus on short-term, high-impact projects such as optimizing existing code for parallel processing, accelerating specific algorithms, or supporting research and development teams with prototype implementations. You may be tasked with profiling and enhancing the performance of applications using frameworks like CUDA or OpenCL, or assisting with machine learning model training and inference on GPU hardware. Collaboration with data scientists, software engineers, and domain experts is common, and your contributions often involve delivering tangible speedups or enabling new computational capabilities within tight timelines.

What is a temporary GPU programmer?

A Temporary GPU Programmer is a professional hired on a short-term basis to develop, optimize, or maintain software that runs on Graphics Processing Units (GPUs). These programmers typically work with languages like CUDA, OpenCL, or DirectX to accelerate complex computations or graphics rendering. Temporary roles may be project-based, such as optimizing machine learning models, scientific simulations, or enhancing graphics in games and applications. Companies often hire temporary GPU programmers to meet specific deadlines, handle workload spikes, or bring in specialized expertise for certain tasks.
What are the most commonly searched types of Gpu Programming jobs in Chicago, IL? The most popular types of Gpu Programming jobs in Chicago, IL are:

Director of Facilities Engineering- AI Data Centers/Factories

EZ Blockchain

Chicago, IL • On-site

$150K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Position Summary
The Director of Facilities Engineeringis responsible forthe engineering strategy, design standards, reliability, and lifecycle management of mission-critical infrastructure supporting AI and high-performance computing (HPC) data centers.
We expect the Director of Facilities Engineering to lead the engineering strategy, design, reliability, and operation of mission-critical infrastructure supporting AI data center campuses. This role oversees multidisciplinary engineering teams and ensures highly available, scalable, and energy-efficient facilities that support next-generation AI and high-performance computing (HPC) environments.
This position requires critical thinking and adaptation to a fast-paced, always-changing, and evolving AI data center space. AI Factories are a new type of data center that requires a new, flexible approach but with a conservative engineering view. We expect the ideal candidate to be open-minded and not afraid to experiment.
Role Mandate:
  • Create and lead the portfolio-wide facilities engineering program for greenfield campuses, powered-shell projects, modular deployments, expansions and selected retrofit opportunities.
  • Develop a repeatable campus architecture and set of design standards that can be adapted intelligently to different utility systems, climates, site constraints, deployment schedules and customer requirements.
  • Serve as the senior technical owner from site screening and diligence through design, construction, commissioning, turnover and initial operating readiness.
  • Build the internal engineering capability and external partner network required to move multiple projects forward in parallel without compromising reliability, safety or capital discipline.

Key Responsibilities
  • Provide strategic direction and leadership for the facilities of operations of multiple AI Factories (data centers), ensuring 24/7 uptime and operational excellence for mechanical, electrical, and plumbing infrastructure.
  • Develop and execute the facilities engineering strategy for AI data centers distributed across multiple campuses across the county.
  • Plan and execute standardized infrastructure for new data center buildouts, colocation expansions, and data center expansions, ensuring seamless integration of mechanical, electrical, and plumbing infrastructure.
  • Build and lead electrical, mechanical, controls, and reliability engineering teams.
  • Establish engineering standards, technical specifications, and design guidelines across multiple facilities to meet the constantly evolving AI data center for white space demand.
  • Oversee the engineering lifecycle of critical infrastructure, including electrical distribution, UPS, generators, cooling systems, BMS, EPMS, DCIM, and fire protection systems.
  • Design and optimize infrastructure for high-density GPU and liquid-cooled AI environments using the newest NVIDIA and AMD chip systems. Work with direct-to-chip cooling systems and high-density racks with up to 150 KW per rack.
  • Drive reliability engineering, predictive maintenance, root cause analysis, and asset lifecycle management across a portfolio of new deployments.
  • Provide technical oversight for new construction, expansion, commissioning, and modernization projects.
  • Improve energy efficiency through initiatives that optimize PUE, WUE, and sustainability.
  • Ensure compliance with applicable codes, standards, and engineering best practices.
  • Manage engineering budgets, technical vendors, consultants, and capital improvement programs.

Technical Expertise
  • Mission-critical electrical and mechanical infrastructure
  • Medium-voltage power distribution, UPS, generators, and power monitoring
  • Chilled water plants, liquid cooling, thermal management, and HVAC systems
  • BMS, EPMS, and DCIM platforms
  • Reliability-centered maintenance (RCM), FMEA, commissioning, and asset lifecycle management
  • AI/HPC infrastructure and high-density compute environments

Leadership Profile
  • Adaptive systems thinker: able to create standards without becoming rigid and to distinguish durable engineering principles from temporary market conventions.
  • Builder mentality: energized by ambiguity, early-stage platform development and creating processes, teams and technical infrastructure from the ground up.
  • Commercially grounded: understands how engineering choices affect land value, customer fit, capital requirements, delivery schedule, bankability and long-term returns.
  • Decisive and transparent: makes sound decisions with incomplete information, documents assumptions and escalates risks early.
  • Collaborative authority: can challenge customers, utilities, consultants, contractors and executives constructively while maintaining trust and momentum.
  • Hands-on executive: equally comfortable reviewing a one-line diagram, walking a site, negotiating an OEM strategy, presenting to investors and building a long-term organization.

Success Measures
  • Quality and speed of technical decisions across the site pipeline.
  • Reliability, maintainability, constructability, and adaptability of selected designs.
  • Accuracy and transparency of capital, schedule, and technical-risk assumptions.
  • Reduction in redesign, change orders, commissioning issues and avoidable lifecycle cost.
  • Ability to support evolving customer requirements without losing standardization or investment discipline.
  • Strength of the engineering team, consultant network, vendor relationships, and repeatable platform processes built under this leader.

Required Qualifications
  • Bachelor's degree in mechanical engineering, Electrical Engineering, or a related field.
  • 10+ years of engineering experience in mission-critical facilities, data centers, industrial, or power infrastructure.
  • 7+ years leading multidisciplinary engineering teams.
  • Strong expertise in electrical and mechanical systems supporting high-availability environments.
  • Experience with hyperscale, AI, or HPC data center infrastructure.
  • Knowledge of engineering design, commissioning, and reliability engineering practices.

Preferred Qualifications
  • Master's degree in engineering, Engineering Management, or MBA.
  • Professional Engineer (PE) license.
  • Industry certifications such as CEM, CDCP/CDCMP, PMP, or LEED AP.

Why join this venture
This role offers the opportunity to shape a data center platform at the point where the most important technical decisions are still being made. The director will have direct influence over site strategy, campus architecture, customer solutions, capital deployment, team design, and the engineering identity of the company. We value practical judgment, intellectual honesty, and thoughtful experimentation. The right leader will be given meaningful authority to build a program-not merely inherit one.
Company Benefits:
-Health (medical, dental, vision)
-PTO
-Sick
-Maternal/Paternal Leave
-FSA/HSA
-401K
-Supplemental Options