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Dgx Jobs in Texas (NOW HIRING)

Nvidia

Senior Performance Engineer - DGX Cloud

Austin, TX · On-site

$103K - $142K/yr

Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and resiliency of large-scale AI workloads. We help AI researchers and platform teams understand end-to-end ...

STN, Inc

Data Center Technician: Odessa, TX

Odessa, TX · On-site

$80K - $85K/yr

... or DGX deployment experience • InfiniBand or 400G/800G Ethernet cabling experience • CDCP, BICSI, or equivalent certification • Experience with modular data center (MDC) deployments ...

Nvidia

Datacenter GPU Power Architect

Austin, TX

You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX/HGX based datacenters. * Early GPU & System Architecture exploration with focus on energy ...

Nvidia

Senior Solution Engineer, Compute Systems

Austin, TX

$54.75 - $70.50/hr

The NVIDIA Experience (NVEX) Solutions Engineering team is looking for an experienced solution engineer focused on customer support of NVIDIA's GPU accelerated platforms including DGX, HGX and MGX!

PICTOR LABS INC

Senior Software Engineer

Austin, TX · On-site

$118K - $156K/yr

Architect and implement containerized AI/ML inference pipelines for deployment on both cloud infrastructure and edge devices (NVIDIA DGX hardware) * Isolate and address performance issues end-to-end ...

Nvidia

Senior Software Engineer - Local AI

Austin, TX · On-site

$121K - $160K/yr

Partnering with NVIDIA software, research, architecture, and product teams to align strategies and technical needs for fostering the ecosystem of AI on RTX and DGX PCs. * Collaborate closely with ...

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Dgx information

See Texas salary details

$34.5K

$73.1K

$93.6K

How much do dgx jobs pay per year?

As of Aug 21, 2026, the average yearly pay for dgx in Texas is $73,081.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $87,100.00 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.

What are popular job titles related to Dgx jobs in Texas?

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What job categories do people searching Dgx jobs in Texas look for?

The top searched job categories for Dgx jobs in Texas are:

What cities in Texas are hiring for Dgx jobs?

Cities in Texas with the most Dgx job openings:

Dgx jobs near you
Infographic showing various Dgx job openings in Texas as of August 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,081 per year, or $35.1 per hour.

Senior Performance Engineer - DGX Cloud

Nvidia

Austin, TX • On-site

$103K - $142K/yr

Full-time

Posted 24 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

Joining NVIDIA's DGX Cloud AI Efficiency Team means advancing the performance, efficiency, and resiliency of large-scale AI workloads. We help AI researchers and platform teams understand end-to-end behavior across GPUs, networking, storage, and software stacks. We are seeking a Senior Performance Engineer to characterize workloads, establish performance baselines, diagnose bottlenecks, and drive optimizations from investigation through deployment. Your work will shape scalable DGX Cloud systems, turn complex measurements into prioritized engineering decisions, and continuously raise the performance and reliability of AI workloads. Join our technically diverse team of infrastructure experts to unlock more efficient AI at scale.

What you'll be doing:

  • Analyze end-to-end performance of large-scale AI workloads across compute, network, storage, and software stacks.

  • Design and execute rigorous performance studies to establish baselines, diagnose regressions, and quantify bottlenecks.

  • Define performance and efficiency evaluation methodologies, benchmarks, and success metrics for AI workloads.

  • Use profiling, observability, and data analysis to turn performance measurements into actionable optimization plans.

  • Partner with deep learning engineers, platform teams, and GPU architects to validate and deliver performance improvements.

  • Communicate performance findings, tradeoffs, and recommendations clearly to influence system and software design decisions.

What we need to see:

  • BS or higher degree in computer science, computer engineering, or a related field (or equivalent experience).

  • 12+ years of experience in strong programming skills in C++ and Python, with the ability to build reliable analysis and automation workflows

  • Solid foundation in operating systems, computer architecture, and distributed systems

  • Experience with performance engineering, benchmarking, profiling, and optimization of complex software or systems

  • Ability to communicate technical findings, prioritize high-impact work, and build alignment across teams

Ways to stand out from the crowd:

  • Experience analyzing large-scale AI clusters or distributed training and inference workloads

  • Experience with CUDA, GPU computing systems, and GPU performance analysis

  • Hands-on experience with deep learning frameworks such as PyTorch or JAX/XLA

  • Deep understanding of system-level performance analysis, workload characterization, and optimization

NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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