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Nvidia Hardware Engineer Jobs in Virginia (NOW HIRING)

Leidos

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

Designing, implementing, and testing software to configure and control RF hardware devices ... Experience with NVIDIA development and profiling tools and libraries, including Compute Sanitizer ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Mclean, VA · On-site

$112K - $257K/yr

As an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Fairfax, VA · On-site

$112K - $257K/yr

As an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Reston, VA · On-site

$112K - $257K/yr

As an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Lorton, VA · On-site

$112K - $257K/yr

As an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that ... Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and ...

Browserstack

Data Centre Engineer

Ashburn, VA

$117K - $140K/yr

We help Tesco, Shell, NVIDIA, Discovery, Wells Fargo, and over 50,000 customers deliver quality ... Collaborate with senior engineers to deploy new hardware and software in the datacenter environment ...

BrowserStack

Data Centre Engineer

Ashburn, VA · On-site

$117K - $140K/yr

We help Tesco, Shell, NVIDIA, Discovery, Wells Fargo, and over 50,000 customers deliver quality ... Collaborate with senior engineers to deploy new hardware and software in the datacenter environment ...

Leidos

Senior AI Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical ... Ollama * Ray * NVIDIA GPU ecosystems * Vector databases If you're looking for comfort, keep ...

Sunayu

AI Engineer - Top Secret

Alexandria, VA · On-site

Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical ... NVIDIA GPU ecosystems * Vector databases ----- Who We Are Sunayu, LLC serves as a premier ...

New

CACI International, Inc.

$155K/yr

Provide summaries of roadmaps for Intel, AMD, NVIDIA, networking, and storage. * Compare and ... Working knowledge of server and switch hardware. * Working knowledge of thin clients/zero clients

CACI International, Inc.

$63K - $127K/yr

Provide summaries of roadmaps for Intel, AMD, NVIDIA, networking, and storage. * Compare and ... Working knowledge of server and switch hardware. * Working knowledge of thin clients/zero clients

CACI International, Inc.

$155K/yr

Provide summaries of roadmaps for Intel, AMD, NVIDIA, networking, and storage. * Compare and ... Working knowledge of server and switch hardware. * Working knowledge of thin clients/zero clients

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All JobsNvidia Hardware Engineer JobsNvidia Hardware Engineer Jobs in Virginia

Nvidia Hardware Engineer information

See Virginia salary details

$50.6K

$145K

$194.8K

How much do nvidia hardware engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for nvidia hardware engineer in Virginia is $144,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,400.00 and $161,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Nvidia Hardware Engineer position, and why are they important?

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 a typical day look like for an Nvidia Hardware Engineer, and how do they collaborate with other teams?

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 a Nvidia Hardware Engineer job?

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 Virginia? The most popular types of Nvidia Hardware Engineer jobs in Virginia are:
What are popular job titles related to Nvidia Hardware Engineer jobs in Virginia? For Nvidia Hardware Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Nvidia Hardware Engineer jobs in Virginia look for? The top searched job categories for Nvidia Hardware Engineer jobs in Virginia are:
Nvidia Hardware Engineer jobs near you
Infographic showing various Nvidia Hardware Engineer job openings in Virginia as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $144,976 per year, or $69.7 per hour.
GPU Software Engineer

GPU Software Engineer

Leidos

Arlington, VA • On-site

$107K - $195K/yr

Full-time

Retirement, PTO

Re-posted 7 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

56th of 451 rated business services

Job description

Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Our division currently has an exciting opportunity for a Software Engineer to perform design, development, and hardware/software integration in Arlington, VA for the Electronic Warfare Division. Our division primarily focuses on research & development and advanced prototyping, transforming state of the art signal processing algorithms into real-time software systems.
The successful candidate will be responsible for designing and implementing real-time signal processing algorithms on GPUs.
The successful candidate will be responsible for:
  • Contributing to design and development of advanced systems as a part of multi-disciplinary teams. These teams are made up of other software team members and subject matter experts from the areas of systems engineering, hardware, firmware, machine learning, RF front end design, and signal processing.
  • Achieving key project/program objectives and deliverables for entire projects or processes spanning multiple technical areas and independently managing large projects or processes
  • A solid understanding of GPU programming and parallel computing architectures
  • Understanding signal processing algorithms written in MATLAB
  • Parallelization of existing algorithms
  • Decomposing complex signal processing chains into discrete components and kernels
  • Hand crafting bespoke CUDA kernels for high performance
  • Designing and implementing multi-threaded software architectures
  • Designing, implementing, and testing high speed data transfer / Latency codes
  • Designing, implementing, and testing real-time C/C++ software for multi-core systems running Linux or a real-time operating systems, such as VxWorks
  • Build software products that utilize third party mathematics and communication libraries
  • Interface communication standards / protocols such as TCP/IP, UDP, and DDS
  • Work with Linux operating system as well as experience with real-time operating systems
  • Designing, implementing, and testing software to configure and control RF hardware devices
  • Documenting the developed systems
  • Support system field testing and collection events
  • Must be willing to travel up to 10% of the time

At Leidos, we offer competitive benefits http://www.leidos.com/careers/pay-benefits, including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Electronic Warfare Technology!
The successful candidate will have the following education/experience:
  • Bachelor's Degree in Computer Engineering, Electrical Engineering, or Computer Science
  • 8+ years of software development experience, including strong experience in C/C++ software development
  • Experience with Government open architectures for real-time systems, such as Big Iron or Cobra
  • Experience with NVIDIA development and profiling tools and libraries, including Compute Sanitizer, NCU, cuBLAS, cuFFT, cuSOLVER, and cuRAND
  • Experience using version control (Subversion, GIT, etc.) and continuous integration software tools (Jenkins)
  • Must have active Secret level security clearance with the ability to obtain a TS/SCI.

Bonus education/experience:
  • Master's Degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent
  • Existing security clearance higher than the Secret level
  • Experience with Machine Learning and/or Artificial Intelligence algorithms and libraries, such as TensorFlow
  • Experience with MATLAB GPU coder tool
  • Experience with High Performance Computing including parallel and distributed computation
  • Experience with Model-Based Design code generation practices
  • Experience with cloud-based computing platforms, such as Amazon Web Services (AWS)
  • Experience with other programming languages such as Python and/or Java

NKE
ElectronicWarfare
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:
June 8, 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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