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Remote Gpu Programming 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 ...

DeepSig Inc

Senior Software Engineer

Arlington, VA · On-site +1

$141K - $185K/yr

Description Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the ... GPU development experience (e.g. CUDA) * Software-defined radio (SDR) experience * Embedded system ...

eSimplicity

Data Engineer II

Columbia, MD · On-site +1

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

eSimplicity

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 ...

Onyx Point, Inc.

Software Engineer 1-FFPP-8775

Hanover, MD · On-site +1

$78K - $250K/yr

... GPU-enabled applications - Experience with large-scale streaming data analytic systems Seven (7) ... Shall have demonstrated work experience with the Map Reduce programming model and technologies such ...

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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.
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Remote Gpu Programming jobs near you

Senior Kubernetes / VKS Platform Engineer

ROI Agency

Washington, DC • Remote

$107K - $146K/yr

Full-time

Posted 9 days ago

Job description

Senior Kubernetes / VKS Platform Engineer


Overview We are looking for a Senior Kubernetes Engineer with hands-on VMware vSphere Kubernetes Service (VKS) experience to support cloud-native workload platforms within VCF private cloud environments. You will provision and manage VKS clusters, enforce governance, and support AI/ML workload infrastructure.

Responsibilities

  • Deploy and manage VKS clusters across multiple VCF projects and namespaces
  • Configure RBAC, network policies (Antrea/CNI), storage, and cluster backup
  • Support GPU-enabled VKS clusters for AI/ML workloads where applicable
  • Integrate Kubernetes platform with Aria Automation self-service catalog
  • Enforce governance policies across distributed cluster fleets

Required Skills

  • 10+ years data center experience
  • VMware vSphere Kubernetes Service (VKS) or Tanzu Kubernetes hands-on experience
  • Kubernetes / K8s administration (CKA preferred)
  • VMware Cloud Foundation (VCF) environment experience
  • VMware certifications required

Bonus

  • NVIDIA GPU / vGPU cluster experience
  • VMware Private AI Foundation exposure
  • Helm, GitOps (ArgoCD/Flux)
  • Aria Automation integration experience

Work Details

  • 100% remote | Central or Eastern time zone preferred
  • ~40 hrs/week across 1–2 end clients | Through EOY, extendable
  • US Citizen required | 10-year background check
  • Must not be active on another Broadcom credit engagement
  • No CA or NY residents unless LLC registered in another state

Requirements:

Required Skills

  • 10+ years data center experience
  • VMware vSphere Kubernetes Service (VKS) or Tanzu Kubernetes hands-on experience
  • Kubernetes / K8s administration (CKA preferred)
  • VMware Cloud Foundation (VCF) environment experience
  • VMware certifications required