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

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 ...

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 ...

SoloPulse

Systems Engineering Intern

Peachtree Corners, GA · On-site

$15.75 - $20.50/hr

Mechanical design, fabrication, assembly, and system packaging * Debugging across software ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

C3 AI

Forward Deployed Engineer

Atlanta, GA · On-site

Engineer full-stack, AI-based enterprise applications on the C3 AI Platform. * Mentor junior team members. Share coding standards and design techniques with less experienced engineers. * Conduct ...

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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Ai Based Chip Design Intern information

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

As of Jul 12, 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 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 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 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:
What cities near Decatur, GA are hiring for Ai Based Chip Design Intern jobs? Cities near Decatur, GA with the most Ai Based Chip Design Intern job openings:
Ai Based Chip Design Intern jobs near you
Infographic showing various Ai Based Chip Design Intern job openings in Decatur, GA as of July 2026, with employment types broken down into 73% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $39,351 per year, or $18.9 per hour.
PhD Research Intern - Foundational AI (Fall 2026, Atlanta)

PhD Research Intern - Foundational AI (Fall 2026, Atlanta)

Dolby Laboratories, Inc.

Atlanta, GA

$53/hr

Other

Posted 24 days ago

Job description

Join the world leader in innovation and building unique entertainment experiences at Dolby. The Advanced Technology Group (ATG) at Dolby works at imagining, creating, and integrating cutting-edge technologies at Dolby and is central to its innovation. As a Research Intern at ATG, you will imagine new visual, audio, and multimodal experiences that enable content creators to deliver their stories with maximum impact while allowing consumers to enjoy these experiences with unprecedented quality and immersion. 

The Advanced Technology Group (ATG) at Dolby is at the forefront of research and development in audio-visual technologies. Our team explores novel approaches in spatial audio processing, high dynamic range (HDR) imaging, computer vision, machine learning, and perceptual modeling. We collaborate across disciplines to push the boundaries of what is possible in entertainment technology, translating cutting-edge research into innovations that shape the future of media experiences worldwide. 

While traditional focus on foundation models has centered around standard audio and visual technologies, Dolby is pioneering the application of these powerful AI systems to enhance media experiences. We are seeking a PhD research intern to join our Foundational AI lab to explore how large-scale models can be leveraged for spatial audio, HDR imaging/video, and high pixel depth imaging/video generation and representation learning. 

As a Research Intern, you will: 

  • Design and implement novel neural architectures for processing enhanced media formats. 

  • Develop training methodologies for foundation models that can understand and generate high-fidelity audio-visual content. 

  • Research techniques for efficient fine-tuning of large models for Dolby-specific applications. 

  • Collaborate with cross-functional teams to integrate research findings into Dolby's product ecosystem. 

  • Present research findings to internal stakeholders and potentially at academic conferences. 

The role will be based out of our research facility in Atlanta, GA, and offers the opportunity to work with state-of-the-art computing resources and proprietary datasets. 

Requirements 

  • Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Machine Learning, Computational Media, or related fields. 

  • Strong background in imaging/video/audio modeling and understanding. 

  • Demonstrable proficiency in training and fine-tuning large models (diffusion models, transformers, autoregressive models, etc.). 

  • Solid understanding of deep learning fundamentals and experience with frameworks such as PyTorch. 

  • Excellent programming skills in Python. 

  • Ability to work independently and as part of a collaborative research team. 

Desirable Experience 

  • First-authored publication in relevant domains at top conferences such as CVPR, ICCV, NeurIPS, ICLR, ICML, ICASSP, and similar venues. 

  • Experience with scaling up model training across multiple GPUs across hybrid infrastructures. 

  • Familiarity with audio processing, computer vision, or multimedia systems. 

  • Knowledge of perceptual quality metrics for audio and visual media. 

  • Prior work with HDR imaging or spatial audio technologies. 

Application Process 

We will review applications on a rolling basis. Qualified candidates should submit a CV, research statement, and relevant publications or project examples. For the best chance to have your resume reviewed and considered, we recommend submitting your application by June 26, 2026.  

Join us in shaping the future of entertainment technology through the power of AI and foundation models. 

Eligibility 

Currently enrolled in Doctoral program. Must be available to work full-time Monday - Friday for 12 weeks between September 2026 - December 2026.  

The start date for this internship is as follows (please note these dates are not flexible):  

  • September 21, 2026  

The Atlanta base hourly range for this internship position is $53/hr and can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.

Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12

Equal Employment Opportunity:
Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

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