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Remote Nvidia Hardware Engineer Jobs in Maryland

NTT DATA Services

IoT / Edge Software Engineer

MD · Remote

$68K - $141K/yr

... gateway hardware, supporting features such as device authentication, data encryption, remote ... The engineer ensures that all edge software is auditable, maintainable, and aligned with the ...

Wyetech

Software Engineer 2 (Hybrid)

Laurel, MD · On-site +1

$64.04 - $120.27/hr

Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT ... Resolve system problem reports and contributes to system design, including hardware/software trade ...

Wyetech

Software Engineer 2 (Hybrid)

Laurel, MD · On-site +1

$64.04 - $120.27/hr

Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT ... Resolve system problem reports and contributes to system design, including hardware/software trade ...

Impruvon

Senior Software Engineer

Baltimore, MD · On-site +1

$140K - $160K/yr

Remote - USA Reporting To: Principal Engineer (Head of Engineering) Compensation: $140,000 - $160,000 / year Description Impruvon builds software and connected hardware that transforms how care teams ...

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Remote Nvidia Hardware Engineer information

What does a remote Nvidia hardware engineer do?

A Remote Nvidia Hardware Engineer focuses on designing, developing, and testing hardware components and systems for Nvidia products, such as graphics processing units (GPUs) and related technologies, while working from a remote location. They collaborate with cross-functional teams to ensure hardware solutions meet performance, reliability, and efficiency standards. Their work may include circuit design, board layout, hardware debugging, and supporting the integration of Nvidia hardware into various devices. Remote engineers use digital communication and collaboration tools to work effectively with global teams and contribute to innovative hardware solutions.

What are the key skills and qualifications needed to thrive as a remote Nvidia hardware engineer, and why are they important?

To thrive as a Remote Nvidia Hardware Engineer, you need a strong background in electrical or computer engineering, experience with GPU architecture, and proficiency in hardware design and validation. Expertise with tools such as Verilog/VHDL, simulation environments, and familiarity with Nvidia’s development platforms or relevant certifications is common. Strong problem-solving abilities, effective remote communication, and collaborative teamwork skills set top candidates apart. These competencies ensure efficient development, troubleshooting, and innovation in high-performance hardware solutions within distributed teams.

What are some common challenges faced by remote Nvidia hardware engineers, and how can they be addressed?

Remote Nvidia Hardware Engineers often encounter challenges related to effective collaboration and communication, especially when working on complex hardware design and testing with distributed teams. Staying aligned with project milestones, ensuring access to necessary hardware resources, and troubleshooting remotely can also be demanding. These challenges can be addressed by leveraging robust collaboration tools, maintaining clear documentation, and scheduling regular virtual meetings to synchronize efforts. Additionally, using remote desktop solutions and cloud-based simulation environments can help bridge the gap when physical access to hardware is limited.

What is the difference between Remote Nvidia Hardware Engineer vs Remote Nvidia Software Engineer?

AspectRemote Nvidia Hardware EngineerRemote Nvidia Software Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related; hardware design certificationsBachelor's or higher in Computer Science, Software Engineering, or related; programming certifications
Work EnvironmentDesigning and testing hardware components, collaborating with hardware teamsDeveloping software, drivers, and algorithms for Nvidia products
Industry UsageHardware development for GPUs, AI accelerators, and embedded systemsSoftware development for drivers, SDKs, and AI frameworks

The main difference is that Remote Nvidia Hardware Engineers focus on designing and testing physical hardware components, while Remote Nvidia Software Engineers develop the software that runs on Nvidia hardware. Both roles require technical expertise but differ in their focus areas within the Nvidia ecosystem.

What are the most commonly searched types of Nvidia Hardware Engineer jobs in Maryland?

The most popular types of Nvidia Hardware Engineer jobs in Maryland are:

What are popular job titles related to Remote Nvidia Hardware Engineer jobs in Maryland?

For Remote Nvidia Hardware Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Nvidia Hardware Engineer jobs in Maryland look for?

The top searched job categories for Remote Nvidia Hardware Engineer jobs in Maryland are:

What cities in Maryland are hiring for Remote Nvidia Hardware Engineer jobs?

Cities in Maryland with the most Remote Nvidia Hardware Engineer job openings:

Remote Nvidia Hardware Engineer jobs near you
Infographic showing various Remote Nvidia Hardware Engineer job openings in Maryland as of June 2026, with employment types broken down into 71% Full Time, 21% Part Time, and 8% Contract. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution.

Software Engineer 2 (Machine Learning) (TS/SCI with Poly)

SOLERITY

Fort George G Meade, MD • On-site, Remote

$275K - $282K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Description

Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative, mission-focused solutions supporting some of the nation's most critical missions in data analytics, software engineering, and advanced technology systems.


Solerity is seeking a Software Engineer 2 (SWE2). 


ML Deployment Engineer moves video,image,speech,and text analytics (VISTA)models from research prototype to production inference services that downstream engineering teams can run in Kubernetes or similar environments. You will work individually or as part of a small research/SDK team to:

  • Collaborate cross-functionally working directly with end users to understand requirements and with researchers to align development with real-world neds.
  • Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT execution providers and Business Logic Scripting (BLS) in-service pipelines.
  • Tune pipelines for throughput, and support them through customer transition.
  • Review and test software components against design requirements.
  • Create comprehensive user documentation and establish deployment best practices.
  • Resolve system problem reports and contributes to system design, including hardware/software trade-offs, software reuse, infrastructure-as-code, and requirements analysis from the system level down to individual components.

Requirements

  • Top Secret Clearance with Full Scope poly
  • Bachelor's Degree in Computer Science or a related discipline. 14+ years of software engineering experience. Four (4) years of additional software development experience on comparable projects may be substituted for a bachelor's degree.
  • Strong Python experience
  • Solid understanding of DevOps practices and CI/CD pipelines
  • Intermediate/Advanced experience with containerization (Docker) container creation and performance optimization
  • Beginner/Intermediate experience with orchestration tools such as Kubernetes
  • Experience taking projects from prototype to production
  • Strong communication skills for technical and non-technical audiences
  • Self-motivated with ability to work independently and collaboratively

Preferred Qualifications/Experience

  • Software Development experience: C++, Java, GoLang, CUDA
  • Experience supporting production ML systems
  • Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing
  • Knowledge of model formats and optimization (ONNX, TensorRT)


BENEFITS YOU'LL ENJOY:

1. Medical, dental and vision coverage

2. Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care

3. Flexible work schedule to include onsite, hybrid or remote, as dictated by position

4. 401(k) and company-funded life insurance

5. Generous Paid Time Off (PTO)

6. Tuition and training assistance

7. Financial rewards for employee referrals.

8. Pet insurance

9. Employee discount program


EMPLOYMENT OPPORTUNITIES: Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer's expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor.


APPLY TODAY!


JOB ID- 369

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