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Remote Gpu Engineer Jobs in Washington (NOW HIRING)

ManTech

AI Engineer

Washington, DC · On-site +1

$141K - $236K/yr

Manage and optimize Kubernetes-based AI deployments, focusing on GPU inference optimization ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Leidos

Senior Systems Engineer

Bethesda, MD · On-site +1

$131K - $237K/yr

Percentage of remote work will vary based on client requirements/deliverables. As a senior member ... Broad understanding of GPU-enabled systems architecture and engineering, including GPU integration ...

Leidos

Sr. Software Engineer

Bethesda, MD · On-site +1

$131K - $172K/yr

The percentage of remote work will vary based on client requirements/deliverables. Specifically, we ... Familiarity DGX (Deep GPU Xceleration) * Active Security+ certification and ability to obtain ...

VMD Corp

Software Engineer - TS/SCI

Bethesda, MD · On-site +1

The percentage of remote work will vary based on client requirements/deliverables. Specifically, we ... Familiarity DGX (Deep GPU Xceleration) * Active Security+ certification and ability to obtain ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... I. Model Optimization on GPU architecture. Leveraging C++, CUDA. * Knowledge of Machine Learning ...

System One

Machine Learning/AI Engineer

Merrifield, VA · Remote

Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and established 1099 options (no c2c ... I. Model Optimization on GPU architecture. Leveraging C++, CUDA. * Knowledge of Machine Learning ...

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Remote Gpu Engineer information

What is a remote GPU engineer?

Remote GPU Engineers are specialized software or hardware engineers who work primarily with Graphics Processing Units (GPUs) from a remote location. They focus on designing, optimizing, and maintaining GPU-based systems for applications such as machine learning, high-performance computing, and graphics rendering. These professionals often collaborate with teams virtually, leveraging cloud-based GPU resources and remote access tools. Their work enables companies to efficiently utilize GPU technology without requiring engineers to be on-site.

What are the key skills and qualifications needed to thrive as a remote GPU engineer?

To thrive as a Remote GPU Engineer, you need strong expertise in GPU architectures, parallel programming (CUDA/OpenCL), and a solid background in computer science or engineering. Familiarity with tools like CUDA Toolkit, performance profilers, and version control systems, as well as experience with relevant certifications, is typically required. Excellent problem-solving abilities, communication skills, and the capacity to collaborate effectively in remote, distributed teams are standout soft skills. These competencies ensure efficient GPU solution development, effective troubleshooting, and seamless teamwork in a remote engineering environment.

What are some common challenges faced by remote GPU engineers when collaborating with distributed teams?

Remote GPU Engineers often work with global teams, which can present challenges such as coordinating across different time zones, ensuring consistent communication, and managing access to high-performance hardware remotely. To overcome these hurdles, it's important to leverage collaboration tools, maintain clear documentation, and establish regular check-ins. Additionally, using remote desktop solutions and cloud-based GPU environments can help facilitate smoother development and debugging processes.

What are the most commonly searched types of Gpu Engineer jobs in Washington?

The most popular types of Gpu Engineer jobs in Washington are:

What are popular job titles related to Remote Gpu Engineer jobs in Washington?

For Remote Gpu Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Gpu Engineer jobs in Washington look for?

The top searched job categories for Remote Gpu Engineer jobs in Washington are:

What cities in Washington are hiring for Remote Gpu Engineer jobs?

Cities in Washington with the most Remote Gpu Engineer job openings:

Remote Gpu Engineer jobs near you
Infographic showing various Remote Gpu Engineer job openings in Washington as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 100% Remote job distribution.

AI Engineer

ManTech

Washington, DC • On-site, Remote

$141K - $236K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 28 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 245 rated software companies

Job description

Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!
***This is for a future opportunity***

MANTECH seeks a motivated, career, and customer-oriented AI Engineer for a new initiative. This effort supports the rapid design, deployment, operation, and sustainment of enterprise-scale AI, data, and mission platform capabilities across a cloud, edge, and classified operational environment.

The AI Engineer supports the development and operationalization of advanced AI and agentic AI systems in production mission environments. You will accelerate operational AI adoption through a modern Hub-and-Spoke architecture, supporting mission applications and enterprise AI governance.

Responsibilities include but are not limited to:

  • Design, develop, and operationalize full-lifecycle AI/ML operations (MLOps/LLMOps).
  • Implement and deploy Retrieval-Augmented Generation (RAG) architectures in production.
  • Build and maintain scalable AI orchestration frameworks and production-ready AI systems.
  • Manage and optimize Kubernetes-based AI deployments, focusing on GPU inference optimization.
  • Conduct core Python development for AI systems and integrate OpenAI-compatible APIs into mission solutions.
  • Operationalize AI agents using advanced frameworks like LangGraph or Semantic Kernel.

Minimum Qualifications:

  • Must possess 7 or more years of experience in AI/ML production engineering, development, or related roles. Relevant additional experience will be considered in lieu of degree.
  • Proven proficiency in Python development and experience with AI/ML libraries like TensorFlow or PyTorch.
  • In-depth knowledge of MLOps/LLMOps principles and full machine learning lifecycle management.
  • Experience with Kubernetes-based AI deployments and GPU optimization techniques.
  • Proven experience designing, building, securing or monitoring scalable solutions within the Microsoft Azure ecosystem (e.g., Azure OpenAI, Azure Synapse, Databricks, or Azure Security Center).

Preferred Qualifications:

  • Bachelor's degree in Computer Science, Engineering or a related field.
  • Experience with LangGraph, Semantic Kernel, and agentic AI systems.
  • Familiarity with Ray, NVIDIA GPU ecosystems, or Vector databases.
  • Advanced degree (Master's or PhD) in a technical field.

Clearance Requirements:

  • TS/SCI with the ability to obtain and maintain a polygraph 

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Constantly operates a computer and other office productivity machinery.

The projected compensation range for this position is $141,500.00-$236,000.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories.  In addition, MANTECH invests in its employees beyond just compensation.  MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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