Miami, FL · On-site
$30 - $36/hr
Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... Key Responsibilities GPU Infrastructure & Hardware Management Deploy, configure, and maintain large ...
Miami, FL · On-site
$30 - $36/hr
Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... Key Responsibilities GPU Infrastructure & Hardware Management Deploy, configure, and maintain large ...
Orlando, FL · On-site
$30 - $36/hr
Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... Key Responsibilities GPU Infrastructure & Hardware Management Deploy, configure, and maintain large ...
Orlando, FL · On-site
$30 - $36/hr
Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... Key Responsibilities GPU Infrastructure & Hardware Management Deploy, configure, and maintain large ...
Tampa, FL · On-site
$118K - $195K/yr
You will work with many scientific researchers, developers, and customers to create improved ... Knowledge of HPC and AI solution technologies to include hardware, hypervisors, CPU's and GPU'
Tampa, FL · On-site
$118K - $195K/yr
You will work with many scientific researchers, developers, and customers to create improved ... Knowledge of HPC and AI solution technologies to include hardware, hypervisors, CPU's and GPU'
Tampa, FL · On-site
$118K - $195K/yr
You will work with many scientific researchers, developers, and customers to create improved ... Knowledge of HPC and AI solution technologies to include hardware, hypervisors, CPU's and GPU'
Tampa, FL · On-site
$118K - $195K/yr
You will work with many scientific researchers, developers, and customers to create improved ... Knowledge of HPC and AI solution technologies to include hardware, hypervisors, CPU's and GPU'
$38.1K - $48K
0% of jobs
$48K - $57.9K
2% of jobs
$57.9K - $67.8K
5% of jobs
$67.8K - $77.7K
7% of jobs
$77.7K - $87.5K
6% of jobs
$93.7K is the 25th percentile. Wages below this are outliers.
$87.5K - $97.4K
6% of jobs
$97.4K - $107.3K
5% of jobs
$107.3K - $117.2K
5% of jobs
The median wage is $119.3K / yr.
$117.2K - $127.1K
57% of jobs
$127.1K - $137K
3% of jobs
$137K - $146.8K
2% of jobs
$38.1K
$109.3K
$146.8K
To thrive as an Nvidia Hardware Engineer, you need a strong background in electrical engineering, digital and analog circuit design, and familiarity with ASIC/FPGA development, typically demonstrated through a relevant degree and experience. Expertise with industry-standard tools like Cadence, Synopsys, and scripting languages, as well as knowledge of hardware validation methods, is frequently required. Strong problem-solving abilities, teamwork, and effective communication help engineers navigate complex projects and work across multidisciplinary groups. These skills and qualities are critical for designing innovative, high-performance hardware components and ensuring their successful integration into Nvidia’s advanced technologies.
A typical day for an Nvidia Hardware Engineer involves designing, simulating, and testing hardware components, often working closely with software, verification, and product teams to ensure designs meet performance and reliability standards. The role includes reviewing schematics, running validation tests, analyzing data, and addressing technical challenges as they arise. Engineers regularly participate in cross-functional meetings to align on project goals, share updates, and troubleshoot issues collaboratively. This collaborative environment ensures that new Nvidia products are developed efficiently and meet the industry’s demanding standards, providing engineers with significant opportunities for learning and professional growth.
An Nvidia Hardware Engineer is responsible for designing, developing, and optimizing cutting-edge hardware components such as GPUs, AI accelerators, and high-performance computing chips. They work on circuit design, system architecture, validation, and performance optimization to ensure Nvidia's products meet industry standards. These engineers collaborate with software teams to enhance hardware-software integration and improve efficiency. The role requires expertise in areas like VLSI design, FPGA/ASIC development, and power management. Strong problem-solving skills and a background in electrical or computer engineering are essential.
$30 - $36/hr
Temporary
Medical, Dental, Vision, Retirement
Re-posted yesterday
Miami serves as a gateway to Latin America with strong submarine cable connectivity. The region's data center market supports international enterprises requiring GPU infrastructure for AI applications.
About IntrolIntrol 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 OverviewIntrol 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 ResponsibilitiesGPU 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 OperationsMonitor 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 & TroubleshootingDiagnose 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 & SafetyAdhere 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 Skills2+ 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 CompetenciesAbility 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 certificationVendor-specific certifications (NVIDIA, AMD, Intel)
Employment Structure & ExpectationsThis 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 & BenefitsHourly 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
