1

Dgx Jobs in Ohio (NOW HIRING)

Service Engineer

Columbus, OH · On-site

$79K - $87K/yr

... DGX-based systems. • Troubleshoot GPU-related issues (ECC errors, thermal throttling, driver mismatches). • Coordinate RMA and spare parts logistics. • Collaborate with Technical Account ...

Service Engineer

Columbus, OH · On-site

$79 - $87/hr

Support GPU platforms such as NVIDIA HGX/DGX-based systems. * Troubleshoot GPU-related issues (ECC errors, thermal throttling, driver mismatches). * Coordinate RMA and spare parts logistics.

Service Engineer

Columbus, OH · On-site

$79K - $87K/yr

Familiarity with GPU platforms such as NVIDIA DGX or HGX architecture. Strong Linux skills, including system navigation, package management, process management, and basic scripting Experience being ...

Service Engineer

Columbus, OH · On-site

$79K - $87K/yr

Support GPU platforms such as NVIDIA HGX/DGX-based systems. * Troubleshoot GPU-related issues (ECC errors, thermal throttling, driver mismatches). * Coordinate RMA and spare parts logistics.

Architect reference designs built on NVIDIA DGX/HGX SuperPOD, Dell AI Factory with NVIDIA, Cisco Nexus HyperFabric AI, HPE / Lenovo / Supermicro accelerated compute and equivalent platforms ...

Architect reference designs built on NVIDIA DGX/HGX SuperPOD, Dell AI Factory with NVIDIA, Cisco Nexus HyperFabric AI, HPE / Lenovo / Supermicro accelerated compute and equivalent platforms ...

Dgx information

See Ohio salary details

$35.2K

$74.6K

$95.5K

How much do dgx jobs pay per year?

As of Aug 30, 2026, the average yearly pay for dgx in Ohio is $74,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $88,900.00 per year, depending on experience, location, and employer.

What is a dgx?

DGX jobs refer to tasks or workloads that are executed on NVIDIA DGX systems, which are specialized high-performance computing platforms designed for AI and deep learning applications. These jobs often involve training large machine learning models, running complex simulations, or processing vast amounts of data. DGX systems are equipped with powerful GPUs and optimized software to accelerate computation, making them popular in research, data science, and enterprise AI development. Users typically submit DGX jobs through job schedulers or containerized environments to efficiently utilize the hardware resources.

What are the key skills and qualifications needed to thrive as a DGX specialist?

To thrive as an NVIDIA DGX Specialist, you need a strong background in computer science, deep learning frameworks, and system administration, often supported by a relevant degree and experience with GPU-accelerated computing. Familiarity with DGX software stack, Linux environments, containerization tools (like Docker), and NVIDIA CUDA is typically required, along with certifications such as NVIDIA Certified Systems Engineer. Strong problem-solving skills, attention to detail, and effective communication set standout professionals apart in this field. These skills ensure optimal system performance, support advanced AI workloads, and facilitate collaboration with data science and IT teams.

What are some common challenges faced by professionals working with NVIDIA DGX systems, and how can they be addressed?

Professionals working with NVIDIA DGX systems often encounter challenges such as managing large-scale data workflows, optimizing GPU utilization, and troubleshooting hardware or software integration issues. Staying updated with the latest software drivers and leveraging NVIDIA’s support resources can help address these obstacles. Collaborating closely with data scientists, IT teams, and system administrators is crucial for smooth operations and maximizing system performance. Regular training and hands-on practice with DGX tools can also enhance efficiency and problem-solving abilities.

What is the difference between Dgx vs X-ray Technician?

AspectDgxX-ray Technician
Required CredentialsCertification in diagnostic imaging, radiologic technology licenseCertification in radiologic technology, state license
Work EnvironmentHospitals, imaging centers, clinicsHospitals, outpatient clinics, diagnostic labs
Industry UsageCommonly used in diagnostic imaging and radiologyWidely used in medical imaging and diagnostics
Job FocusOperating CT scanners and advanced imaging equipmentPerforming X-ray procedures and basic imaging

While both Dgx and X-ray Technicians work in medical imaging, Dgx specialists typically operate advanced diagnostic equipment like CT scanners, requiring specialized training. X-ray Technicians focus on performing X-ray procedures, often with different certification requirements. Understanding these differences helps in choosing the right career path or job search focus.

$79K - $87K/yr

Full-time

Re-posted 1 hour ago


Job description

Job Req ID: 29361
About Supermicro:
Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 technology firms. Our unprecedented global expansion has provided us with the opportunity to offer a large number of new positions to the technology community. We seek talented, passionate, and committed engineers, technologists, and business leaders to join us.
Job Summary:
Supermicro is seeking a Service Engineer that will be responsible for fieldwork at customer sites to resolve and repair server systems. The Service Engineer is a critical part of post-sales support and needs to demonstrate exceptional technical aptitude in working with server products in addition to excellent interpersonal skills. It requires the ability to Support our Global Service network and help build a world-class field engineering organization.
Essential Duties and Responsibilities:
Includes the following essential duties and responsibilities (other duties may also be assigned):
• Perform onsite and remote troubleshooting of complex Supermicro systems in enterprise data center environments
• Diagnose and resolve hardware issues involving GPUs, CPUs, memory, NVMe, NICs, and interconnects
• Execute hardware diagnostics, system validation, and root cause analysis
• Coordinate RMA processes and spare parts logistics
• Manage and resolve service tickets using Salesforce or similar ticketing systems
• Support GPU platforms such as NVIDIA HGX/DGX-based systems.
• Troubleshoot GPU-related issues (ECC errors, thermal throttling, driver mismatches).
• Coordinate RMA and spare parts logistics.
• Collaborate with Technical Account Managers, Service Managers, and Project Managers to support assigned customer accounts
• Travel to customer data centers to support deployments, perform break-fix activities, and train team members (up to 20%)
Qualifications:
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience preferred
• 1+ years' experience in enterprise data center operations
• 1+ years' experience working with server, storage, compute and network hardware
• 1+ years' experience troubleshooting and repairing servers and networking infrastructure
• 1+ years' experience in Inventory Management, and ordering, receiving and shipping server and network equipment
Physical Requirements:
• Work is often performed in data center environment and physical dexterity is necessary to perform job functions
• Ability to lift to 30-50lbs. unassisted
• Comfortable working in an environment requiring exposure to noise
• Available to work weekends, as the schedule varies depending on site operational needs; flexibility is required
Preferred Qualifications:
• Familiarity with GPU platforms such as NVIDIA DGX or HGX architecture.
• Strong Linux skills, including system navigation, package management, process management, and basic scripting
• Experience being on-call and ability to respond to critical events as needed.
• Excellent prioritization and time management skills
• Strong prioritization, communication, and time management skills
Salary Range
$79,000 - $87,000
The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.
EEO Statement
Supermicro is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of Supermicro to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.