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Remote Gpu Programming Jobs in Reston, VA (NOW HIRING)

OptiTrack

Machine Learning & Operations Engineer

Arlington, VA · Remote

$71.10K - $96.20K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Optimize GPU/compute utilization across cloud and on-prem environments. * Deploy, monitor, and ...

vCluster Labs

Sr. Product Manager

Washington, DC · Remote

$175K - $200K/yr

GPU scheduling, multi-tenant accelerator workloads, LLM deployment patterns. * Internal Developer ... and we have a remote-first work culture. We are the leading platform for operating GPU ...

Armada

AI Factory Customer Engineer

Springfield, VA · On-site +1

This role will be remote in the US What You\'ll Do (Key Responsibilities) Bring a high-ownership ... GPU based systems from partners such as Nvidia. Understand client challenges and propose ...

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See Reston, VA salary details

$34.3K

$67.6K

$99.4K

How much do remote gpu programming jobs pay per year?

As of May 30, 2026, the average yearly pay for remote gpu programming in Reston, VA is $67,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $83,200.00 per year, depending on experience, location, and employer.

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 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.
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Remote Gpu Programming jobs near you

Senior Kubernetes / VKS Platform Engineer

ROI Agency

Washington, DC • Remote

$107K - $146.90K/yr

Full-time

Posted 11 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