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Entry Level Edge Concepts Jobs (NOW HIRING)

Entry Level Marketing

Atlanta, GA · On-site

$60K - $70K/yr

We are seeking an Entry Level Marketing Representative to help support the growth of our Atlanta ... The primary responsibility of this position is to implement fresh, cutting-edge marketing ...

... edge connectivity between sites and datacenters. Perform routine troubleshooting for network ... concepts. Experience with network monitoring or ticketing tools. Associate- or entry-level ...

... edge connectivity between sites and datacenters. Perform routine troubleshooting for network ... concepts. Experience with network monitoring or ticketing tools. Associate- or entry-level ...

Teaching Assistant (Associate)

New York, NY · On-site

$20.50 - $25.75/hr

About Financial Edge Do you have a passion for finance? Do you enjoy explaining financial concepts ... Teaching Assistants provide support to the Instructor and participants on entry level programs from ...

Teaching Assistant (Associate)

New York, NY · On-site

$20.50 - $25.75/hr

About Financial Edge Do you have a passion for finance? Do you enjoy explaining financial concepts ... Teaching Assistants provide support to the Instructor and participants on entry level programs from ...

... edge technologies and solutions to consistently stay at the forefront of the technology wave ... Qualifications Desired Skills & Experience Strong knowledge on Object Oriented Programming concepts ...

Junior Cloud Developer

Mclean, VA · On-site

$67K - $87K/yr

At Prescient Edge , we believe that acting with integrity and serving our employees is the key to ... Basic knowledge of cloud networking concepts (VPCs, subnets, firewalls, etc). * Awareness of cloud ...

Our analysts work closely with government program offices in the acquisition of cutting edge ... Candidates must be proficient in quantitative analysis, project management concepts, and data ...

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Entry Level Edge Concepts information

What is the difference between Entry Level Edge Concepts vs Network Technician?

AspectEntry Level Edge ConceptsNetwork Technician
Required CertificationsCompTIA A+, Cisco CCNA (basic)CompTIA Network+, Cisco CCNA
Work EnvironmentData centers, network labs, field sitesOffice, data centers, on-site troubleshooting
Industry UsageIT, networking, cybersecurityIT, telecommunications, networking
Common Search IntentEntry level networking roles, network conceptsNetwork troubleshooting, installation, maintenance

Entry Level Edge Concepts focuses on foundational networking and cybersecurity principles, often requiring basic certifications. Network Technicians perform hands-on troubleshooting and maintenance of network systems. While both roles share similar environments and certifications, Edge Concepts emphasizes understanding core concepts, whereas Network Technicians focus on practical implementation and problem-solving.

More about Entry Level Edge Concepts jobs
What are the most commonly searched types of Edge Concepts jobs? The most popular types of Edge Concepts jobs are:
Software Engineer - AI & Edge Kubernetes Orchestration

Software Engineer - AI & Edge Kubernetes Orchestration

ZEDEDA

San Jose, CA • On-site

Full-time

Posted 5 days ago


Job description

Job Summary:
ZEDEDA unlocks the value of AI where it matters most, enabling enterprises to create, secure and operate edge AI at scale. The company is seeking a curious, self-driven entry level Software Engineer who will work alongside experienced engineers on real-world problems in edge orchestration, focusing on integrating AI tools and technologies into their daily workflow.
Responsibilities:
• Design, develop, and maintain software components that bridge AI model lifecycle management with Kubernetes-based edge orchestration.
• Build and extend Kubernetes controllers, operators, and Custom Resource Definitions (CRDs) to support AI workload scheduling and deployment at the edge.
• Work with ONNX, GenAI, and ML models — integrating them into production-ready pipelines and edge environments.
• Use AI coding agents (Claude Code, Copilot, Codex, etc.) as first-class tools in your daily development workflow.
• Participate in design discussions, write clean code, submit pull requests, and iterate rapidly based on feedback.
• Contribute to open-source components related to ZEDEDA's platform and the broader cloud-native ecosystem.
• Write and maintain Helm charts for deploying services into Kubernetes clusters.
• Collaborate with cross-functional teams across AI, infrastructure, and product to ship features end-to-end.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field — or equivalent practical experience.
• Foundational knowledge of machine learning concepts: neural networks, deep learning, model training and inference, and attention mechanisms (self-attention / transformers).
• Familiarity with ONNX models, GenAI model architectures, or frameworks like PyTorch or TensorFlow.
• Practical exposure to Kubernetes — understanding of pods, deployments, services, namespaces, and controllers. Familiarity with lightweight Kubernetes distributions such as k3s is a plus, particularly in the context of resource-constrained edge environments.
• Comfort working with Git, submitting pull requests, reading diffs, and collaborating in a version-controlled environment.
• Ability to work with vague or evolving problem statements and drive toward clarity independently.
• Language-agnostic development mindset — you pick the right tool for the job and learn what you don't know.
• Comfortable with basic Linux commands and shell scripting.
Preferred:
• Hands-on experience with Kubernetes advanced constructs: Custom Resource Definitions (CRDs), Operators, Controllers, and the kubeconfig API.
• CKA (Certified Kubernetes Administrator) or CKD certification, or active preparation for it.
• Experience with AI agent frameworks: LangChain, LangGraph, LangFuse, or similar.
• Demonstrated use of AI coding tools (Claude Code, GitHub Copilot, OpenAI Codex) in real development workflows — not just familiarity, but fluency.
• Prior contribution to, or porting of, open-source projects.
• Experience with CI/CD systems: Jenkins, CircleCI, GitHub Actions, or similar.
• Familiarity with AWS or Azure tooling.
• Knowledge of cloud-native technologies: Kafka, REST APIs, SSO/OAuth, microservices patterns.
• Exposure to Helm chart authoring, not just usage.
• Awareness of edge computing concepts, IoT, or distributed systems.
• Familiarity with edge AI hardware platforms and inference infrastructure: NVIDIA Jetson (Jetpack SDK), Qualcomm IQ9, NVIDIA Triton Inference Server, vLLM, or similar model serving frameworks.
• Familiarity with ArgoCD or other GitOps-based continuous delivery tools for Kubernetes.
Company:
ZEDEDA is a provider of distributed orchestration and virtualization software for Edge AI Compute. Founded in 2016, the company is headquartered in San Jose, USA, with a team of 51-200 employees. The company is currently Growth Stage.