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Remote Gpu Programming Jobs in Washington (NOW HIRING)

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 ...

New

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

Strong Python programming skills with experience building, testing, and deploying AI/ML ... Experience working with distributed computing environments, GPU-accelerated workloads, or large ...

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 ...

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 ...

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 ...

Autonomy SME, Lead

Washington, DC · On-site +1

$116K - $152K/yr

Remote Work: Hybrid Job Number: R0243516 Location: Washington,DC,US Share job via: Share Autonomy ... As an Autonomy and UAS Engineer, you will design, develop, and deploy machine learning models that ...

Showing results 21-29

Remote Gpu Programming information

What are some common challenges faced by professionals in remote GPU programming roles, and how can they be addressed?

Remote GPU programming roles often involve unique challenges such as managing high-latency connections to remote servers, troubleshooting hardware-specific issues without physical access, and ensuring code compatibility across different GPU architectures. Effective communication with distributed teams is crucial, as is using robust remote debugging tools and version control systems. Staying proactive with documentation and regularly syncing with team members can help address these obstacles and support successful project delivery.

What is remote GPU programming?

Remote GPU programming refers to the practice of developing and running code that utilizes graphics processing units (GPUs) on computers or servers that are accessed over a network, rather than on your local machine. This approach allows developers to leverage powerful, often cloud-based, GPU resources to handle computationally intensive tasks like machine learning, scientific simulations, or rendering without needing specialized hardware themselves. It often involves using remote desktop tools, cloud platforms, or custom APIs to access and manage GPU resources remotely.

What are the key skills and qualifications needed to thrive as a Remote GPU Programmer, and why are they important?

To thrive as a Remote GPU Programmer, you need in-depth knowledge of parallel computing, proficiency in programming languages like C/C++, and experience with GPU architectures, often backed by a degree in computer science or a related field. Familiarity with technical tools such as CUDA, OpenCL, and GPU profiling/debugging systems is commonly required, along with certifications in GPU programming or high-performance computing. Strong problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in distributed teams. These competencies are crucial for efficiently developing and optimizing GPU-accelerated applications while collaborating across remote environments.
What job categories do people searching Remote Gpu Programming jobs in Washington look for? The top searched job categories for Remote Gpu Programming jobs in Washington are:
What cities in Washington are hiring for Remote Gpu Programming jobs? Cities in Washington with the most Remote Gpu Programming job openings:
Infographic showing various Remote Gpu Programming job openings in Washington as of July 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 6% In-person, and 94% Remote job distribution.
Software Engineer - TS/SCI

Software Engineer - TS/SCI

VMD Corp

Bethesda, MD • On-site, Remote

Full-time

Posted yesterday


Job description

Description

Software Engineer  TS/SCI

Xcelerate Solutions has an exciting opening for you as our next TS/SCI cleared Software Engineer supporting a long-term DIA-NDOC DOMEX Technology Platform (DTP) contract. You will work closely with Systems Engineers, Software Engineers, Architects, and Operations Engineering/Manager on a broad scope of activities extending across the development of systems to include middle-tier and backend engineering tasks.  Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote work will vary based on client requirements/deliverables.

Specifically, we are looking for a skilled Python developer to join our team to build and maintain scalable microservices that interface with Kafka for real-time messaging and Elasticsearch for data indexing and search. You'll deploy and monitor your services in a Kubernetes environment and collaborate with cross-functional teams in designing reliable, observable, and secure systems. Our client’s overall mission is to design and implement a data centric architecture that leverages cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems. Come join our award-winning organization and work with some of the most talented and brightest minds in the GovCon industry.

Clearance:

TS/SCI

 

Location:

Bethesda, MD

Responsibilities:

  • Design, develop, test, and maintain Python microservices
  • Implement message consumers and producers with Apache Kafka
  • Integrate with Elasticsearch for real-time and batch data indexing and querying
  • Write unit and integration tests; ensure high code coverage and reliability
  • Build CI/CD pipelines for your services and deploy them in Kubernetes clusters
  • Participate in design discussions, code reviews, and architecture planning
  • Monitor and troubleshoot production issues with observability tools
  • Contribute to technical documentation and knowledge sharing within the team
  • Utilizes software engineering and design methodologies appropriate to the development, integration, and production environment
  • Foster an environment of collaboration with the different team members in the goal of providing quality service and product to our customers

Minimum Requirements:

 

  • Bachelor’s Degree and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience
  • Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph
  • Proficiency in Python and related backend frameworks (e.g., FastAPI, Flask).
  • Experience with containerization, especially with Docker
  • Experience in Extraction, Transformation, and Load (ETL)
  • Hands-on development experience in a Linux environment including bash or bash-like scripting
  • Strong understanding of RESTful APIs and microservice architecture
  • Hands-on experience with Kubernetes: deploying, monitoring, and debugging services
  • Understanding of common design patterns, security practices, and logging/monitoring principles
  • Familiarity with Git and collaborative workflows (PRs, reviews)
  • Experience with DevOps practices and tools including Continuous Integration/Continuous Delivery (CI/CD) tools and practices, especially Gitlab or Jenkins
  • Strong verbal and written communication skills
  • Experience with AGILE practices
  • Enthusiastic with the ability to work well in a team and a self-starter who can work on their own

 

Preferred Qualification:

  • Experience with designing and implementing software development kits
  • Familiarity DGX (Deep GPU Xceleration)
  • Active Security+ certification and ability to obtain Privileged User Account (PUA) certification by the Government
  • Elasticsearch certifications or other program stack related certifications
  • Experience of a production/enterprise systems at scale
  • Knowledge of distributed systems concepts (e.g., idempotency, eventual consistency)
  • Familiarity with schema registries and Kafka streaming patterns
  • Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner.
  • Experience with Amazon Web Services (AWS/C2S)
  • Familiarity or experience with building applications around Large Language Models, Agentic AI

 About Xcelerate Solutions:
Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (www.xceleratesolutions.com) is one of America's fastest-growing companies. Xcelerate’s culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal’s “50 Best Places to Work” list as well as being a “Great Place to Work” certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers!

Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability.
Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.