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Dgx Jobs (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 ...

Nvidia

Senior Performance Engineer - DGX Cloud

Santa Clara, CA · On-site

$122K - $168K/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 ...

Nvidia

Senior Performance Engineer - DGX Cloud

Redmond, WA

$117K - $160K/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 ...

Nvidia

OR · On-site

$104K - $143K/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 ...

Nvidia

Principal Software Engineer - DGX Cloud

Seattle, WA · On-site

$153K - $206K/yr

As a Principal Engineer in DGX Cloud, you will be at the pinnacle of technical leadership. You will directly craft the platform that fuels the future of AI and cloud computing. What you'll be doing:

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Dgx information

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$37K

$78.4K

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How much do dgx jobs pay per year?

As of Aug 8, 2026, the average yearly pay for dgx in the United States is $78,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $93,500.00 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 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 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.
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What cities are hiring for Dgx jobs? Cities with the most Dgx job openings:
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Dgx jobs near you
Infographic showing various Dgx job openings in the United States as of August 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $78,442 per year, or $37.7 per hour.

Senior Customer Success Engineer - DGX Cloud

Nvidia Corporation

Santa Clara, CA • On-site

$65 - $83.75/hr

Full-time

Posted 10 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA's DGX Cloud team helps some of the most advanced AI builders in the world move from idea to production faster. This Customer Success Manager role sits close to internal customers and acts as a strategic partner across onboarding, adoption, workload performance, and long-term platform success. The work is part customer success, part technical consulting, and part operational problem-solving, making it a strong fit for candidates who enjoy translating complex infrastructure into practical outcomes.
Customer Success Managers are typically most effective when they help customers achieve value quickly, build long-term trust, and bring customer insights back into the business to improve the product experience. This role is especially compelling because it combines customer partnership with cloud architecture, AI infrastructure, and resource planning in an environment where the work directly shapes how NVIDIA teams build and scale. Clear, familiar job titles and concise qualification lists also improve job-posting effectiveness and help attract the right candidates.gainsight
What you'll be doing:
  • Partner with internal customers across the full lifecycle of their DGX Cloud usage, helping teams adopt the platform, remove blockers, and get faster time to value.zendesk
  • Translate workload, business, and technical requirements into scalable recommendations across compute, networking, storage, and cloud environments.
  • Turn repeat customer needs into reusable playbooks, tooling, dashboards, and operating patterns that improve adoption and reduce friction.gainsight
  • Work across Engineering, Product, Operations, and Finance to surface customer insights, influence roadmap decisions, and improve infrastructure planning and GPU resource efficiency.gainsight+1
  • Guide customers through architecture reviews, performance tuning, and cloud portability decisions for AI and machine learning workloads.
  • Use data, usage signals, and operational trends to identify risks, spot opportunities, and improve how DGX Cloud supports current and future demand.zendesk
  • Contribute lightweight automation or code when needed to accelerate delivery and improve day-to-day operations.

What we need to see:
  • BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.
  • 12+ years of experience in customer success, solutions architecture, cloud engineering, technical account management, or a similar customer-facing infrastructure role.
  • Strong hands-on knowledge of cloud infrastructure, including compute, networking, storage, and deployment patterns across public cloud and on-prem environments.
  • Experience working with distributed systems, Kubernetes, schedulers, or large-scale platform infrastructure.
  • Ability to translate customer goals into technical solutions and influence cross-functional teams through strong written and verbal communication.gainsight
  • Experience using data, operational signals, or customer feedback to drive decisions, improve adoption, and shape better workflows or product outcomes.zendesk
  • Working knowledge of at least one programming or scripting language such as Python, Go, or shell scripting.
  • Track record of operating effectively in fast-moving or ambiguous environments and driving issues through resolution.

Ways to stand out from the crowd:
  • Experience supporting AI, ML, or HPC workloads in cloud or hybrid environments.
  • Background in GPU capacity planning, performance optimization, or infrastructure utilization.
  • Experience building automations, internal tools, or agentic workflows that improve customer operations at scale.gainsight
  • Strong executive communication skills, including the ability to present recommendations, trade-offs, and roadmap inputs clearly.
  • History of turning customer pain points into repeatable processes, product improvements, or measurable operational gains.

NVIDIA is leading 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 phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us.
#LI-Remote
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 2, 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

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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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