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Ai Based Chip Design Intern Jobs in Decatur, GA (NOW HIRING)

B-Yond

AI Developer

Atlanta, GA · On-site

... Design and build LLM-powered AI agents integrated into: • Azure DevOps (ADO) • Git repositories • Jira • CI/CD pipelines • Kubernetes-based deployment workflows • Develop Tool-using ...

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Lorven Technologies

Tech Lead (AI)

Alpharetta, GA · On-site

Role: Tech Lead (AI) Location: NYC, NY (3 days onsite in a week) Position Type: Fulltime 12- 15 ... Design, develop, and maintain Python-based backend services supporting NLP and chatbot solutions ...

Safran Defense & Space, Inc.

Engineering Intern

Norcross, GA · On-site

$15.75 - $20.50/hr

Assured PNT, Geospatial AI, Optronics, Space Solutions, and Testing & Telemetry. Safran DSI Testing ... The Engineering Intern will support practical engineering tasks such as design documentation ...

Safran Defense & Space, Inc.

Engineering Intern

Norcross, GA · On-site

$15.75 - $20.50/hr

Assured PNT, Geospatial AI, Optronics, Space Solutions, and Testing & Telemetry. Safran DSI Testing ... The Engineering Intern will support practical engineering tasks such as design documentation ...

AGG

Security Automation Intern

Atlanta, GA · On-site

The intern will assist with incident response orchestration, AI-assisted threat detection and ... Exposure to SOAR platforms and playbook design, including how playbooks are used to standardize and ...

GEI Consultants

AI Engineer

Atlanta, GA · On-site

Build and deploy AI-based solutions using pretrained models and Copilot technologies. * Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.

GEI Consultants

AI Engineer

Atlanta, GA

$110K - $150K/yr

Build and deploy AI-based solutions using pretrained models and Copilot technologies. * Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.

Sapsol Technologies Inc

Tech Lead (AI)

Alpharetta, GA · On-site

This role will contribute to modernizing advisor-facing experiences by embedding AI-enabled ... Key Responsibilities • Design, develop, and maintain Python-based backend services supporting NLP ...

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How much do ai based chip design intern jobs pay per hour?

As of May 31, 2026, the average hourly pay for ai based chip design intern in Decatur, GA is $18.92, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $21.11 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Based Chip Design Intern, and why are they important?

To thrive as an AI Based Chip Design Intern, you need a solid understanding of digital circuit design, computer architecture, and a background in electrical engineering or computer science. Familiarity with hardware description languages (such as Verilog or VHDL), AI frameworks (like TensorFlow or PyTorch), and electronic design automation (EDA) tools is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and innovate within multidisciplinary teams. These skills and qualities are crucial for successfully contributing to the development of advanced, efficient AI hardware solutions.

What types of projects and daily tasks can an AI-Based Chip Design Intern expect to work on?

As an AI-Based Chip Design Intern, you can expect to work on projects that involve modeling, simulating, and optimizing integrated circuits using AI-driven methodologies. Typical daily tasks may include assisting in developing and testing machine learning algorithms for hardware design automation, analyzing data from chip simulations, and collaborating closely with senior engineers to improve chip performance or power efficiency. You’ll likely get hands-on experience with industry-standard tools such as Python, TensorFlow, and EDA software, while participating in team meetings to discuss design challenges and solutions.

What are AI Based Chip Design Interns?

AI Based Chip Design Interns are students or early-career professionals who assist in the development of semiconductor chips that utilize artificial intelligence technologies. They typically work under the guidance of engineers to help design, test, and optimize chips for AI applications such as machine learning, deep learning, or neural networks. Their responsibilities can include running simulations, analyzing data, and supporting the hardware-software integration process. This internship provides hands-on experience in chip design, exposure to current industry tools, and insights into the rapidly evolving AI hardware field.
What job categories do people searching Ai Based Chip Design Intern jobs in Decatur, GA look for? The top searched job categories for Ai Based Chip Design Intern jobs in Decatur, GA are:
Ai Based Chip Design Intern jobs near you
AI Developer

AI Developer

B-Yond

Atlanta, GA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
B-Yond is a private global group of companies focused on helping enterprises work smarter and more efficiently through innovative AI solutions. The AI Developer will design and build enterprise AI agents to automate and standardize application development workflows, primarily working in lab environments to enhance developer productivity and streamline processes.
Responsibilities:
• AI agents assist developers working on Mobility service and network design systems by:
• Generating and validating JEST test cases from requirements, React components, and Node.js services
• Reviewing test coverage and identifying defect-prone areas before code submission
• Generating design documentation directly from MERN codebases
• Assisting with JSON/YAML validation for service definitions and configurations
• Supporting Jira workflows by creating, updating, and summarizing tickets from commits and test results
• Directly accelerates the MERN team’s SDLC responsibilities without changing their tools or processes
• AI Agents Support ADO Engineers And Vendor-facing Workflows By
• Reviewing vendor repositories for compliance
• Proper use of HashiCorp Vault
• Secure pipeline practices
• Assisting with ADO pipeline creation and templating for consistency across teams and vendors
• Analyzing pipeline execution failures and summarizing root causes
• Generating deployment readiness checks for Kubernetes-based applications
• Assisting vendors and application SMEs with troubleshooting and best practices
• Reduces review cycles and manual consulting overhead for ADO engineers
• AI Agents Are Designed To
• Analyze Kubernetes deployment configurations (Helm charts, manifests)
• Validate environment-agnostic deployment assumptions
• Assist with troubleshooting issues on Linux-based ADO agents
• Help standardize vendor-provided artifacts without taking ownership of image or Helm creation
• Aligns with the team’s scope: application-level deployment, not infrastructure provisioning
• Design and build LLM-powered AI agents integrated into:
• Azure DevOps (ADO)
• Git repositories
• Jira
• CI/CD pipelines
• Kubernetes-based deployment workflows
• Develop Tool-using Agents Capable Of
• Reading and writing JSON/YAML
• Analyzing test results, logs, and pipeline output
• Interacting with internal APIs and documentation
• Build Retrieval-augmented Generation (RAG) Pipelines Leveraging
• Requirements documents
• Design specs
• Internal standards and policies
• Historical defects and pipeline issues
• Create Reusable Agent Templates For
• Test automation
• Vendor compliance checks
• Deployment readiness validation
• Ensure agents comply with security, governance, and audit standards
• Partner with MERN developers, ADO engineers, and vendors as an enablement function
Qualifications:
Required:
• Hands-on experience building AI agents or autonomous workflows
• Familiarity with CI/CD pipelines (ADO preferred)
• Automated testing concepts
• Git and Jira-based workflows
• Experience integrating AI tools into existing engineering workflows (not greenfield AI products)
Company:
B-Yond is an AI-based startup that develops network automation solutions. Founded in 2017, the company is headquartered in San Mateo, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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