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Dgx Jobs (NOW HIRING)

Nvidia

OR

$108K - $147K/yr

Joining NVIDIA's DGX Cloud AI Efficiency Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on developing tools for optimizing efficiency and ...

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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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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.

Principal Software Engineer - DGX Cloud

Nvidia

Santa Clara, CA

$158K - $212K/yr

Full-time

Re-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 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.

We are looking for a Principal Software Engineer to join our DGX Cloud team and build the foundational systems that drive NVIDIA's high-performance GPU infrastructure. You will play a meaningful role in crafting scalable automation solutions, integrating diverse systems, and enabling seamless workflows across global cloud operations. 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:

  • Lead the build and development of next-generation APIs, state management, and workflow orchestration systems that automate fleet lifecycle operations at a massive scale.

  • Drive technical alignment across dependent systems and partner teams to ensure cohesive integration, clear interfaces, and reliable end-to-end workflows, with a strong focus on delivery.

  • Act as a force-multiplier by coaching, mentoring, and encouraging senior engineers, elevating the technical standards and guidelines across the organization.

  • Maintain an incredible focus on the customer experience and product requirements, translating deep technical insight into high-impact business solutions.

  • Partner with executive and engineering leadership to codify critical business processes into self-measuring, scalable, and operationally consistent platforms, drastically reducing manual toil.

  • Direct the integration strategy for key technologies, including common AI schedulers (e.g., Kubernetes, Slurm) and innovative observability systems (e.g., Prometheus, OpenTelemetry, Grafana).

What We Need To See:

  • 16+ years of progressive industry experience

  • Master's or Bachelor's degree, or equivalent experience defining and shipping complex distributed systems.

  • Deep, hands-on expertise in establishing, operating, and scaling services in a fast paced, high-reliability environment.

  • Thrive in ambiguous, fast paced environments by rapidly testing ideas, iterating toward working solutions, and then hardening the winners into reliable, scalable systems.

  • Outstanding proficiency in modern systems programming languages such as Go, Java, or Python.

  • Proven track record of defining, owning, and evolving the architecture of high-scale distributed systems, including advanced patterns for APIs, control planes, and data pipelines.

  • Deep understanding of global cloud infrastructure (AWS, GCP, Azure) and container ecosystems (Docker, Kubernetes).

  • Demonstrated ability to drive technical strategy and influence outcomes across organizational boundaries.

  • Outstanding ability to communicate complex technical concepts, drive organizational consensus, and mentor high-performing engineers.

Ways to Stand Out from the Crowd:

  • A history of successfully leading the development and adoption of organization-wide workflow orchestration systems for petabyte-scale infrastructure.

  • Experience in a Principal/Staff+ capacity, delivering measurable improvements in operational efficiency, reliability, and security across a large engineering org.

  • Deep familiarity with the operational and deployment aspects of the NVIDIA AI/ML software stack (CUDA, cuDNN, containerization).

  • Patent contributions or a strong publication record in areas related to distributed systems, cloud computing, or infrastructure automation.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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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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