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Dgx Jobs (NOW HIRING)

Nvidia

OR · On-site

$172K - $204K/yr

NVIDIA DGX systems are the foundation of the world's most advanced AI infrastructure-purpose-built servers, workstations, and personal AI computers that bring together GPUs, CPUs, NVLink, NVIDIA ...

Nvidia

OR

DGX Station (Galaxy) is NVIDIA's workstation-class AI computer-built on GB300 Blackwell GPUs with NVLink interconnect, delivering data-center-grade AI compute in a deskside form factor. DGX Station ...

Nvidia

OR · On-site

DGX Station is NVIDIA's next-generation personal AI supercomputer-a deskside workstation built on the NVIDIA Grace Blackwell GB300 Superchip with massive coherent CPU+GPU memory, designed to bring ...

Nvidia

OR · On-site

NVIDIA DGX Cloud is building the operating model for reliable, scalable GPU infrastructure across internal, partner, and on-prem environments. We are looking for an Engineering Manager to lead a team ...

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How much do dgx jobs pay per year?

As of Jun 9, 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 are DGX jobs?

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 (NVIDIA DGX System) Specialist, and why are they important?

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.
More about Dgx jobs
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Dgx jobs near you
Infographic showing various Dgx job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $78,442 per year, or $37.7 per hour.
Manager, Distinguished Engineer - DGX Systems Software

Manager, Distinguished Engineer - DGX Systems Software

Nvidia

Santa Clara, CA

$203K - $240K/yr

Full-time

Posted 19 days ago

Job description

NVIDIA DGX systems are the foundation of the world's most advanced AI infrastructure-purpose-built servers, workstations, and personal AI computers that bring together GPUs, CPUs, NVLink, NVIDIA Networking, and a fully optimized AI software stack.

We are seeking an engineering leader responsible for end-to-end delivery of every DGX compute system-from firmware through the AI stack to customer deployment. You will ensure each DGX product ships as a production-ready system where firmware, OS, drivers, CUDA, networking, and AI applications work together seamlessly, while driving architecture and roadmap for next-generation platforms.

What you'll be doing:

  • End-to-End Stack Readiness: Ensure every DGX platform is ready for the full NVIDIA software stack-firmware, DGX OS, GPU drivers, CUDA toolkit, DCGM, DOCA/OFED, and management tools-as a validated, production-quality product. Own the GA SW/FW release process delivering firmware bundles, BaseOS ISOs, and release notes to OEM/OSV partners. Ensure platforms support AI agents like NemoClaw, Hermes agents, NIM microservices, and workloads customers expect out of the box.

  • Platform Firmware Development: Lead development of the manageability firmware stack (BMC, BIOS) for all DGX platforms. Ensure firmware from partner teams (GPU, CPU, networking) integrates correctly at system level. Manage 3rd-party vendors and drive platform requirements (NVPOR) across all firmware areas.

  • Validation Strategy: Define validation strategy proving each DGX platform is production-ready: end-to-end system validation including firmware regression, NVQual certification, DL workload performance, OS/CUDA stack testing, multi-user scenarios, power/thermal validation, and field upgrade reliability. Establish quality gates and zero ship-stopper discipline.

  • Platform Bring-Up & Architecture: Drive platform bring-up for each new DGX system-coordinating first boot across new silicon (CPU, GPU), board design, and firmware teams. Own architectural strategy for next-generation platforms including firmware update mechanisms, system security posture, and AI application readiness.

  • Customer Deployment & Enablement: Ensure firmware release flows meet CSP and enterprise deployment requirements. Represent DGX platform readiness in executive reviews and strategic planning with VP/SVP leadership. Engage with industry standards bodies (DMTF Redfish, OCP).

  • Product Delivery Lifecycle: Own the complete DGX delivery lifecycle-system architecture, firmware development, integration, full-stack validation, GA release, and customer deployment-for every DGX product.

  • Cross-Org Alignment: Serve as single point of accountability for DGX platform readiness across NVIDIA-aligning GPU, CPU, networking, security, OS, and AI software teams to deliver on schedule.

  • Quality & Vendor Management: Own RCCA processes for field issues. Manage external vendor partnerships (AMI for SBIOS, BMC contributors) with clear quality gates and program tracking.

  • Team Leadership: Build and lead a world-class engineering organization. Mentor and develop leaders. Foster a culture of technical excellence, intellectual honesty, and customer obsession.

What we need to see:

  • BS or MS in Computer Science, Electrical Engineering, or related field or equivalent experience.

  • 12+ overall years in systems firmware/software engineering, with 5+ years in engineering leadership.

  • Deep expertise in server system stack including SBIOS, BMC, OS, applications and system-level integration of complex multi-component products.

  • Proven track record delivering multi-generation server or data center platforms from architecture through customer deployment.

  • Experience managing engineering organizations across multiple geographies in a matrix environment.

  • Strong understanding of server hardware: CPU, GPU, interconnect, memory, PCIe, power delivery.

  • Experience owning end-to-end product quality-from firmware validation through full-stack system testing to field deployment.

Ways to stand out from the crowd:

  • Experience with NVIDIA DGX, or GPU-accelerated server platforms.Track record driving server bring-up for new silicon and system architecture redesigns.

  • Familiarity with DMTF Redfish, OCP standards, and server manageability ecosystems.

  • Experience with AI/DL workload validation and performance optimization at the platform level.Demonstrated ability to operate at VP/SVP level, influencing cross-BU strategic decisions.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 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.
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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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