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Internship Nvidia Hardware Engineer Jobs in Silver Spring, MD

... hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize ... Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, 200, B300, L40S)

... hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize ... Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, 200, B300, L40S)

Collaborate with hardware engineers and other technical staff to evaluate hardware/software ... coursework, internships, or professional experience. * Ability to adapt quickly to changing ...

Software Systems Engineer

Chantilly, VA · On-site

$80K - $120K/yr

Work with flight software, ground software, hardware engineering, and cybersecurity teams to ... Academic or internship experience with spacecraft, satellite, launch vehicle, or ground control ...

Senior AI Engineer

Rockville, MD · On-site

$106K - $146K/yr

Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical ... NVIDIA GPU ecosystems * Vector databases Commitment to Non‑Discrimination All qualified ...

Research Engineering Interns

Reston, VA · On-site

$17.50 - $22.75/hr

Internship Opportunity We are seeking Electrical Engineering, Computer Science, and Computer ... Work as part of a team, designing, programming, integrating and/or testing hardware and software ...

... hardware, Kubernetes, and NVIDIA GPU products. As a Systems Engineer - HPC & GPU Infrastructure, you will play a pivotal role in designing, developing, and optimizing GPU clusters for the IC ...

Showing results 41-60

Internship Nvidia Hardware Engineer information

See Silver Spring, MD salary details

$52.7K

$151.2K

$203.1K

How much do internship nvidia hardware engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for internship nvidia hardware engineer in Silver Spring, MD is $151,169.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $168,500.00 per year, depending on experience, location, and employer.

What does an internship Nvidia hardware engineer do?

An Internship Nvidia Hardware Engineer works alongside experienced engineers to assist in designing, testing, and validating hardware components such as GPUs, processors, and related systems. Interns typically get hands-on experience with circuit design, simulation, debugging, and performance analysis. They may also collaborate with cross-functional teams to optimize hardware for efficiency and performance. This role gives students exposure to industry-standard tools and real-world engineering challenges, preparing them for future careers in hardware engineering.

What are the key skills and qualifications needed to thrive as an internship Nvidia hardware engineer?

To thrive as an Internship Nvidia Hardware Engineer, you need a solid understanding of electrical engineering fundamentals, digital/analog circuit design, and relevant coursework or project experience. Familiarity with hardware description languages (such as Verilog or VHDL), simulation tools (like ModelSim or Cadence), and version control systems is typically expected. Strong problem-solving abilities, effective teamwork, and clear communication distinguish top candidates in this role. These skills and qualities are crucial to efficiently contribute to complex hardware development projects and collaborate within multidisciplinary engineering teams.

What kinds of projects can an intern expect to work on as a hardware engineer at Nvidia?

As a Hardware Engineer intern at Nvidia, you can expect to be involved in hands-on projects that support the development, testing, and validation of hardware components such as GPUs, system boards, or AI accelerators. Interns often collaborate closely with experienced engineers, contributing to tasks like schematic reviews, board bring-up, signal integrity analysis, or automation of testing procedures. These projects provide opportunities to learn industry-standard tools and workflows, as well as gain practical experience in problem-solving and cross-functional teamwork. This exposure not only builds technical skills but also helps interns understand the end-to-end hardware development lifecycle.

What is the difference between Internship Nvidia Hardware Engineer vs Nvidia Hardware Engineer?

AspectInternship Nvidia Hardware EngineerNvidia Hardware Engineer
QualificationsEnrolled in a relevant degree program, some technical courseworkBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields
Work EnvironmentInternship program, mentorship, collaborative teamsFull-time, professional environment, project ownership
ResponsibilitiesAssist in hardware design, testing, and documentationDesign, develop, and optimize hardware components and systems

Internship Nvidia Hardware Engineers are students gaining practical experience, focusing on learning and assisting with hardware projects. Nvidia Hardware Engineers are full-time professionals responsible for designing and developing advanced hardware solutions. The internship offers a pathway to a career in hardware engineering, while full-time roles involve more responsibility and expertise.

What are the most commonly searched types of Nvidia Hardware Engineer jobs in Silver Spring, MD?

The most popular types of Nvidia Hardware Engineer jobs in Silver Spring, MD are:

What are popular job titles related to Internship Nvidia Hardware Engineer jobs in Silver Spring, MD?

For Internship Nvidia Hardware Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Internship Nvidia Hardware Engineer jobs in Silver Spring, MD look for?

The top searched job categories for Internship Nvidia Hardware Engineer jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Internship Nvidia Hardware Engineer jobs?

Cities near Silver Spring, MD with the most Internship Nvidia Hardware Engineer job openings:

Infographic showing various Internship Nvidia Hardware Engineer job openings in Silver Spring, MD as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $151,169 per year, or $72.7 per hour.

Systems and Platform Engineer

Bethesda, MD • On-site

Leidos
IT Services • 10K+ employees

Full-time

Re-posted 19 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 154 frontline employees who took The Breakroom Quiz


Job description

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Employees enjoy career enrichment opportunities available through mobility and development, and experience rewarding relationships with supportive supervisors, talented colleagues, and customers. Your most important work is ahead.
If this sounds like the kind of environment where you can thrive, keep reading!
Leidos is looking for a highly skilled platform engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize Kubernetes clusters that power enterprise AI for the mission customers.
This is a 100% on-site position. All work must be performed at the customer site in Bethesda at the Intelligence Community Campus.
Responsibilities:
  • Kubernetes Cluster Engineering: Design, configure, and maintain enterprise Kubernetes platforms. Collaborate with a multidisciplinary team to define and optimize Kubernetes architecture, ensuring they meet performance, efficiency, and feature requirements.
  • Infrastructure as Code: Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, Salt, Ansible, Bash, Python or similar frameworks.
  • Collaborate with development teams to design and implement secure, automated, and repeatable pipelines (e.g., GitLab CI/CD).
  • Troubleshot complex systems issues across cloud, network, and platform layers.
  • Compliance & Documentation: Maintain technical documentation, architectural specifications, and Linux best practices. Support ATO (Authority to Operate) and ensure compliance with federal security standards.

You Bring
  • Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field. Additional years of experience may be considered in lieu of a degree.
  • 5+ years in Platform Engineering or System Engineering experience.
  • Strong expertise with Linux distributions. (RHEL, Ubuntu, Oracle Linux, and Rocky).
  • Experience administering Kubernetes clusters, including deploying, scaling, and maintaining containerized workloads.
  • Hands-on experience creating, managing, and troubleshooting Docker containers and container images throughout the software development lifecycle.
  • Experience with Kubernetes cluster management and AI/ML workflow orchestration (Argo, Airflow, and Kubeflow).
  • Strong track record with consuming, and troubleshooting RESTful APIs for platform integration and automation.
  • Excellent problem-solving skills and the ability to collaborate within a team.
  • Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP).

Preferred Qualifications
  • Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, 200, B300, L40S).
  • Experience with NVIDIA enterprise tools such as Base Command Manager, Run:AI, Nvidia AI Enterprise.
  • Knowledge of enterprise server components (storage/network controllers, HBA, SSDs).
  • Familiarity with GPU virtualization and cloud computing.
  • Experience developing and deploying infrastructure in AWS.
  • Knowledge of distributed resource scheduling systems. (Slurm , LSF, Open MPI,etc.)

Clearance
  • Active TS/SCI clearance with Polygraph required OR active TS/SCI and willingness to obtain and maintain a Poly.
  • US Citizenship is required due to the nature of the government contracts we support.

What You'll Gain
At Leidos, your work directly supports some of the most critical missions in the intelligence community. You'll be part of a high-performing, collaborative environment where your contributions shape national security operations. Whether optimizing secure networks, refining system baselines, or integrating next-generation technologies, you'll find meaningful work, continuous technical challenges, and a clear path for advancement.
At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "What's next?" before the dust settles on "what's now."
If you're already scheming step 20 while everyone else is still debating step 2... good. You'll fit right in.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
July 23, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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