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Edge Computing Jobs in Tennessee (NOW HIRING)

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 modules for multi-environment infrastructure deployments. * Develop secure and automated CI/CD pipelines ...

Knowledge and experience with IoT and Edge Computing strategies and concepts * Experience collaborating with clients to translate business requirements into technical requirements * Experience ...

Sr. Product manager, Device Service

Nashville, TN · On-site

$122K - $161K/yr

In this role, you'll define the vision and roadmap for how we maintain, repair, and optimize critical safety technologies-including AI-powered driver coaching cameras, edge computing systems, and ...

In this role, you'll define the vision and roadmap for how we maintain, repair, and optimize critical safety technologies-including AI-powered driver coaching cameras, edge computing systems, and ...

Sr. Product manager, Device Service

Nashville, TN · On-site

$122K - $161K/yr

In this role, you'll define the vision and roadmap for how we maintain, repair, and optimize critical safety technologies-including AI-powered driver coaching cameras, edge computing systems, and ...

Sr Manager, Prod Mgmt - Tech, Central RME

Nashville, TN · On-site

$122K - $161K/yr

... edge computing, prescriptive maintenance platforms, and field operations technology Work backwards from Field RME customer needs to define problems, CX, tenets, and product strategy through PR/FAQs ...

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Edge Computing information

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How much do edge computing jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for edge computing in Tennessee is $23.19, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $27.26 per hour, depending on experience, location, and employer.

Does edge computing have a future?

Edge computing is a growing field with increasing adoption across industries such as manufacturing, healthcare, and IoT, creating demand for professionals skilled in network architecture, security, and cloud integration. As data volume and latency requirements grow, the need for edge computing expertise is expected to expand, making it a promising career path for those with relevant technical skills and certifications. Job roles often involve working with distributed systems, real-time data processing, and hardware integration.

What are the key skills and qualifications needed to thrive in the Edge Computing position, and why are they important?

To excel in Edge Computing, you need a solid background in distributed systems, network engineering, and real-time data processing, typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools and platforms such as Docker, Kubernetes, IoT frameworks, and edge-specific cloud solutions, along with relevant certifications like CompTIA IoT+ or Cisco certifications, is highly advantageous. Strong problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating across technical and business teams. These skills ensure effective design, deployment, and maintenance of decentralized computing solutions that drive innovation and performance in various industries.

What is an Edge Computing job?

An Edge Computing job involves designing, deploying, and managing computing resources closer to the data source to reduce latency and improve real-time data processing. Professionals in this field work with distributed computing, networking, and security to ensure efficient and reliable performance of edge devices. Roles often include Edge Engineer, Edge Architect, or IoT Specialist, requiring expertise in cloud-native technologies, AI, and edge infrastructure. These jobs are critical in industries like healthcare, manufacturing, and autonomous systems where low-latency decision-making is essential.

What are typical daily responsibilities of an Edge Computing professional?

As an Edge Computing professional, your daily tasks often include designing and deploying edge infrastructure, optimizing real-time data processing pipelines, and monitoring system performance to ensure low latency operations. You may coordinate with software developers, hardware engineers, and security specialists to integrate edge devices with cloud services. Troubleshooting network and latency issues, updating firmware, and implementing security protocols are also regular parts of the role. This multidisciplinary environment allows you to see immediate impacts from your work while constantly collaborating with cross-functional teams to solve complex problems.

What are the most commonly searched types of Edge Computing jobs in Tennessee? The most popular types of Edge Computing jobs in Tennessee are:
What are popular job titles related to Edge Computing jobs in Tennessee? For Edge Computing jobs in Tennessee, the most frequently searched job titles are:
Infographic showing various Edge Computing job openings in Tennessee as of June 2026, with employment types broken down into 71% Full Time, 15% Part Time, 2% Temporary, 10% Contract, and 2% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $48,244 per year, or $23.2 per hour.
Postdoctoral Research Associate - HPC System Architecture and Intelligent Storage Design

Postdoctoral Research Associate - HPC System Architecture and Intelligent Storage Design

Oak Ridge National Laboratory

Oak Ridge, TN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

4th of 103 rated laboratories


Job description

Requisition Id 15604 

Overview:

The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in High-Performance Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing.

We are a leader in computational and computer science, with signature strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems in the world. This position is in the Technology Integration group within NCCS.

Specific areas of research interest include:

  • Telemetry collection and analysis to inform system optimization, workload characterization, and predictive fault tolerance in HPC systems.
  • Architectural exploration and performance modeling of high-bandwidth memory (HBM) and DDR memory systems in the context of data-intensive scientific computing.
  • Redesign of storage systems to meet evolving demands in AI/ML and edge-to-HPC workflows, including support for data movement, retention policies, and user-defined storage behaviors.

Major Duties and Responsibilities:

  • Collaborate with internal and external researchers on a variety of data and storage-related research projects for use cases in HPC, scientific AI, and scientific edge computing.
  • Conduct I/O and storage performance characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems.
  • Collect, analyze, and leverage telemetry data from HPC systems to support data-driven design decisions and performance tuning.
  • Explore trade-offs in DDR and HBM usage patterns, and propose architectural improvements for mixed-memory and bandwidth-intensive workloads.
  • Design and evaluation of ephemeral, user-configurable, and composable data and storage systems.
  • Design system-level approaches for time-sensitive or data-intensive processing of data originating at scientific edge systems using large-scale HPC/AI computational and storage systems.
  • Coauthor peer-reviewed publications, technical reports, and presentations.
  • Seek membership and service opportunities in professional, academic, and research organizations.

Basic Qualifications:

  • A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage research within past five years.

Preferred Qualifications:

  • Ability to work independently to design and deploy methods at scale.
  • Familiarity with hardware-software co-design, memory hierarchies (DDR, HBM), and system-level telemetry tools.
  • Experience in HPC and associated software development for applications, middleware, and/or system software.
  • Flexibility to adapt to diverse R&D projects and tasks.
  • Effective communicator in both verbal and written forms.
  • Ability to collaborate with scientists, engineers, and sponsors.
  • Interest in mentoring student internships.

Applicants cannot have received their PhD more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

Security, Credentialing, and Eligibility Requirements:

  • This position requires the ability to obtain and maintain an HSPD-12 PIV badge.
  • For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.
  • Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
  • To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

For foreign national candidates:

  • If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment.
  • Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.

About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.


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