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Remote Edge Computing Jobs (NOW HIRING)

EnCharge AI

Principal DFT Engineer

$180K - $220K/yr

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing ... remote environments. As a Principal DFT(Design for Test) Engineer, you will lead our testing ...

EnCharge AI

Principal DFT Engineer

OR · Remote

$180K - $220K/yr

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing ... remote environments. As a Principal DFT(Design for Test) Engineer, you will lead our testing ...

Lynx Software Technologies

Compliance Manager

$100K - $130K/yr

Our secure edge computing solutions enable innovation and operational excellence in the world ... Remote work opportunities based on role * Employee Assistance Program (EAP) * Career growth and ...

NTT DATA Services

IoT / Edge Software Engineer

MD · Remote

$68K - $141K/yr

We are currently seeking a IoT / Edge Software Engineer to join our team in Bethesda (REMOTE ... This role is essential for delivering a robust, secure, and resilient edge computing infrastructure ...

NTT America

IoT / Edge Software Engineer

Bethesda, MD · Remote

$68K - $141K/yr

We are currently seeking a IoT / Edge Software Engineer to join our team in Bethesda (REMOTE ... This role is essential for delivering a robust, secure, and resilient edge computing infrastructure ...

Lynx Software Technologies

Sr. Embedded Software Engineer

$126K - $166K/yr

Our secure edge computing solutions enable innovation and operational excellence in the world ... Remote work opportunities based on role * Employee Assistance Program (EAP) * Career growth and ...

United Airlines

Google Edge Tech Lead

Nashville, TN · On-site +1

$86K - $203K/yr

Edge Computing (GDCC) and IoT Solutions on GCP * Build highly reusable and modular Terraform ... Deep, hands-on expertise with Terraform (advanced level), including reusable modules, remote state ...

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Remote Edge Computing information

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$15

$27

$37

How much do remote edge computing jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for remote edge computing in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 per hour, depending on experience, location, and employer.

What is the difference between Remote Edge Computing vs Remote Cloud Engineer?

AspectRemote Edge ComputingRemote Cloud Engineer
Required CredentialsNetworking, IoT, hardware knowledge, certifications in edge computing or networkingCloud platforms, scripting, certifications like AWS, Azure, GCP
Work EnvironmentDistributed hardware, local data processing sites, on-site or remote hardware managementData centers, cloud platforms, virtual environments
Employer & Industry UsageTech companies, IoT providers, manufacturing, retailTech firms, SaaS providers, enterprise IT, startups

Remote Edge Computing focuses on deploying and managing computing resources at the data source or network edge, often involving hardware and IoT devices. In contrast, Remote Cloud Engineers work primarily with cloud platforms to develop, deploy, and maintain cloud-based applications and infrastructure. Both roles require technical certifications and involve remote work, but they differ in their focus on hardware versus cloud services.

More about Remote Edge Computing jobs
What cities are hiring for Remote Edge Computing jobs? Cities with the most Remote Edge Computing job openings:
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Remote Edge Computing jobs near you
Infographic showing various Remote Edge Computing job openings in the United States as of June 2026, with employment types broken down into 44% Full Time, 41% Part Time, and 15% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.
Software Engineer - AI Platforms & Edge Computing

Software Engineer - AI Platforms & Edge Computing

MatrixSpace

Burlington, MA • Remote

$125K - $160K/yr

Full-time

Posted 12 days ago

Job description

At MatrixSpace, we are building technology that bridges the physical and digital worlds — combining embedded systems, radar sensing, cloud computing, and AI to unlock powerful real-world intelligence.

We’re looking for a software engineer to help build and scale our edge and cloud platform for AI-powered applications. In this role, you’ll work on backend services, distributed systems, and infrastructure that enable real-time data processing and intelligent decision-making at the edge.

You’ll collaborate closely with experienced engineers across platform, AI, and embedded systems, contributing to the design and implementation of scalable systems while growing your skills in edge computing and modern cloud infrastructure.

This is not a fully remote role -- you will be required to be onsite at least a few days per week!

Key Responsibilities:
  • Design and implement platform software supporting AI workloads, edge inference, and distributed data pipelines across hybrid environments.
  • Contribute to the architecture, design, and deployment of scalable systems in both cloud-based and on-premises runtime environments.
  • Develop and maintain high-performance components in C/C++, Go, and Python, optimized for edge and real-time environments.
  • Build and manage API-based middleware that connects AI models, data services, and frontend interfaces.
  • Implement service-oriented architectures (SOA) and Software-as-a-Service (SaaS) frameworks to support modular, extensible system design.
  • Leverage Infrastructure-as-Code (IaC) for automated provisioning, deployment, and configuration management.
  • Employ containerization (Docker) and orchestration (Kubernetes) for edge-to-cloud deployments and lifecycle management.
  • Integrate networking protocols (TCP/IP, HTTPS) for secure, high-throughput edge-cloud communication.
  • Use CMake and BASH scripting for build automation, testing, and deployment pipelines.
  • Collaborate using Git-based configuration management systems in a modern CI/CD environment.
  • Work closely with data scientists and AI engineers to embed ML models into production-grade edge systems.
  • Optimize performance, reliability, and scalability across resource-constrained and distributed computing environments.
Required Skills and Experience:

Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.

  • 2-4 years of software engineering experience in embedded, cloud, or distributed systems.
  • Proficiency and recent experience coding in C/C++ required.
  • Strong knowledge of edge computing, AI platform development, or real-time data systems.
  • Experience building backend systems or APIs
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Understanding of basic distributed systems concepts (e.g., scalability, latency, reliability)
  • Ability to collaborate effectively and learn quickly in a fast-paced environment
Preferred Qualifications
  • Experience with Go, and/or Python a plus.
  • Experience with containers or Kubernetes
  • Exposure to infrastructure-as-code or CI/CD pipelines
  • Interest in AI/ML systems or model deployment
  • Exposure to edge computing or real-time systems
Why Join Us
  • Join a team that thrives on innovation and collaboration.
  • Work on cutting-edge technology bridging embedded systems, cloud computing, and AI applications
  • Collaborate with world-class engineers solving complex distributed systems challenges
  • High ownership, fast iteration, and opportunities to lead architecture and innovation initiatives
  • Competitive compensation, equity options, and a culture that values innovation and technical excellence.

Compensation range: $125,000 - $160,000. Actual position within the range will be determined based on experience level of the candidate.