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Internship Nvidia Hardware Engineer Jobs in Springfield, VA

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

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

Washington, DC · On-site +1

$116K - $152K/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

Autonomy SME, Lead

Washington, DC · 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

Potomac, MD · 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 ...

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

Autonomy SME, Lead

Washington, DC · On-site

$62.25 - $85.50/hr

The role involves guiding autonomy architecture decisions, mentoring engineering teams, and ... hardware, such as NVIDIA Jetson, GPUs, and embedded platforms • Experience with robotics ...

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All JobsNvidia Hardware Engineer JobsInternship Nvidia Hardware Engineer JobsInternship Nvidia Hardware Engineer Jobs in Springfield, VA

Internship Nvidia Hardware Engineer information

See Springfield, VA salary details

$53.3K

$152.7K

$205.2K

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

As of Aug 9, 2026, the average yearly pay for internship nvidia hardware engineer in Springfield, VA is $152,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $170,300.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Internship Nvidia Hardware Engineer jobs in Springfield, VA? For Internship Nvidia Hardware Engineer jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Internship Nvidia Hardware Engineer jobs in Springfield, VA look for? The top searched job categories for Internship Nvidia Hardware Engineer jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Internship Nvidia Hardware Engineer jobs? Cities near Springfield, VA with the most Internship Nvidia Hardware Engineer job openings:
Internship Nvidia Hardware Engineer jobs near you
Infographic showing various Internship Nvidia Hardware Engineer job openings in Springfield, VA 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 $152,741 per year, or $73.4 per hour.

Autonomy SME, Lead

BOOZ, ALLEN & HAMILTON, INC.

Reston, VA • On-site

$112K - $257K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 7 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description

Autonomy SME, Lead
The Opportunity:
As an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that power intelligent behaviors on unmanned systems. You will work with advanced autonomy frameworks, including platforms such as Shield AI's Hivemind to build resilient navigation, perception, targeting, and collaborative autonomy capabilities.
You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the military transition from human-in-the-loop control to AI-assisted and autonomous mission execution.
As a technical lead, you will guide autonomy architecture decisions, mentor engineering teams, and support the integration of autonomy capabilities into operational military systems.
What You'll Work On:
  • Design and train machine learning models for perception, object detection, tracking, and classification.
  • Develop reinforcement learning and autonomy algorithms for navigation and mission execution.
  • Implement sensor fusion models combining EO, IR, LiDAR, GPS-denied navigation, and telemetry data.
  • Optimize AI models for deployment on edge compute platforms such as GPU, TPU, and embedded systems.
  • Develop and integrate autonomy behaviors within platforms such as Hivemind.
  • Implement mission planning logic and adaptive decision-making algorithms.
  • Enable collaborative autonomy between multiple UAS platforms.
  • Lead the design and implementation of autonomy architectures for UAS and multi-agent systems.
  • Build simulation-based training pipelines for autonomy validation.
  • Deploy containerized AI models to airborne and ground edge nodes.
  • Optimize inference latency and resource utilization.
  • Conduct hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing.
  • Develop secure software pipelines aligned to DoD cybersecurity standards.
  • Integrate AI outputs into tactical networks and mission command systems.
  • Implement CI/CD pipelines for rapid model iteration and field updates.
  • Provide technical leadership and mentorship to engineers developing autonomy capabilities.
  • Support flight testing, operational demonstrations, military exercises, and customer evaluations.
  • Collaborate with government stakeholders, operators, and engineering teams to define autonomy requirements and roadmaps.

Join us. The world can't wait.
You Have:
  • 5+ years of experience in software engineering, including AI/ML systems
  • Experience with Python and C++
  • Experience with deep learning frameworks, such as PyTorch, TensorFlow, and ONNX
  • Experience building and deploying AI models on edge hardware, such as NVIDIA Jetson, GPUs, and embedded platforms
  • Experience with robotics middleware, such as ROS or ROS2
  • Experience with computer vision or autonomous navigation systems
  • Experience leading technical teams, architecture decisions, or autonomy-focused development efforts
  • Experience integrating autonomous systems into operational, test, or simulation environments
  • Ability to obtain a Secret clearance
  • Bachelor's degree in a Computer Science, Robotics, Aerospace Engineering, or Electrical Engineering field

Nice If You Have:
  • Experience working in military exercises and war games
  • Experience with autonomy frameworks such as Hivemind, PX4, ArduPilot, NVIDIA Isaac, or ROS2
  • Experience with collaborative autonomy, swarming, or multi-agent mission execution
  • Ability to support flight testing and operational evaluations
  • Top Secret clearance
  • Master's degree
  • ML, AI, or Solution Architecture Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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