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Nvidia Hardware Engineer Jobs in Washington (NOW HIRING)

... 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)

Senior System Administrator

Laurel, MD · On-site

$164K - $200K/yr

... engineers work every day. this role requires a forward leaning professional who enjoys working ... Install, configure, and maintain high-performance computer hardware, including NVIDIA H100, H200 ...

Showing results 21-40

Nvidia Hardware Engineer information

See Washington salary details

$57.8K

$165.6K

$222.6K

How much do nvidia hardware engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for nvidia hardware engineer in Washington is $165,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,900.00 and $184,600.00 per year, depending on experience, location, and employer.

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

To thrive as an Nvidia Hardware Engineer, you need a strong background in electrical engineering, digital and analog circuit design, and familiarity with ASIC/FPGA development, typically demonstrated through a relevant degree and experience. Expertise with industry-standard tools like Cadence, Synopsys, and scripting languages, as well as knowledge of hardware validation methods, is frequently required. Strong problem-solving abilities, teamwork, and effective communication help engineers navigate complex projects and work across multidisciplinary groups. These skills and qualities are critical for designing innovative, high-performance hardware components and ensuring their successful integration into Nvidia’s advanced technologies.

What does an Nvidia hardware engineer do?

A typical day for an Nvidia Hardware Engineer involves designing, simulating, and testing hardware components, often working closely with software, verification, and product teams to ensure designs meet performance and reliability standards. The role includes reviewing schematics, running validation tests, analyzing data, and addressing technical challenges as they arise. Engineers regularly participate in cross-functional meetings to align on project goals, share updates, and troubleshoot issues collaboratively. This collaborative environment ensures that new Nvidia products are developed efficiently and meet the industry’s demanding standards, providing engineers with significant opportunities for learning and professional growth.

What is an Nvidia hardware engineer?

An Nvidia Hardware Engineer is responsible for designing, developing, and optimizing cutting-edge hardware components such as GPUs, AI accelerators, and high-performance computing chips. They work on circuit design, system architecture, validation, and performance optimization to ensure Nvidia's products meet industry standards. These engineers collaborate with software teams to enhance hardware-software integration and improve efficiency. The role requires expertise in areas like VLSI design, FPGA/ASIC development, and power management. Strong problem-solving skills and a background in electrical or computer engineering are essential.

What are the most commonly searched types of Nvidia Hardware Engineer jobs in Washington? The most popular types of Nvidia Hardware Engineer jobs in Washington are:
What are popular job titles related to Nvidia Hardware Engineer jobs in Washington? For Nvidia Hardware Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Nvidia Hardware Engineer jobs in Washington look for? The top searched job categories for Nvidia Hardware Engineer jobs in Washington are:
What cities in Washington are hiring for Nvidia Hardware Engineer jobs? Cities in Washington with the most Nvidia Hardware Engineer job openings:
Infographic showing various Nvidia Hardware Engineer job openings in Washington as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,620 per year, or $79.6 per hour.

Systems and Platform Engineer

Leidos

Bethesda, MD • On-site

Full-time

Posted 16 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

77th of 483 rated business services


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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