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

OXOS Medical

UX/UI Design Intern

Atlanta, GA · On-site

... based, image management and sharing platform, including but not limited to: * Map MC2 and OXOS ... Explore and implement AI-enabled processes for modification of Figma designs and translation to ...

VHB

Transportation Design Intern- Spring 2027

Atlanta, GA · On-site

$19 - $26/hr

The final compensation will be based on a variety of factors such as individual qualifications ... Learning and development supported by evolving tools and technologies, including AI * Best-in-class ...

VHB

Transportation Design Intern- Spring 2027

Atlanta, GA · Hybrid

$19 - $26/hr

The final compensation will be based on a variety of factors such as individual qualifications ... Learning and development supported by evolving tools and technologies, including AI * Best-in-class ...

VHB

Transportation Design Intern- Spring 2027

Atlanta, GA · Hybrid

$19 - $26/hr

The final compensation will be based on a variety of factors such as individual qualifications ... Learning and development supported by evolving tools and technologies, including AI * Best-in-class ...

VHB

Transportation Design Intern- Spring 2027

Atlanta, GA · Hybrid

$19 - $26/hr

The final compensation will be based on a variety of factors such as individual qualifications ... Learning and development supported by evolving tools and technologies, including AI * Best-in-class ...

Rambus

SPE Analog Engineering

Johns Creek, GA · On-site

$169K - $254K/yr

Modeling of chip and block level at various levels of detail for design tradeoff analysis and ... The successful candidate's starting pay will be determined based on job-related skills, experience ...

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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 Aug 23, 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 is an AI based chip design intern?

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 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.

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Ai Based Chip Design Intern jobs near you
Infographic showing various Ai Based Chip Design Intern job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, and 6% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $39,351 per year, or $18.9 per hour.

ML Software Engineer Intern - AI/CAD Integration

Falcomm

Atlanta, GA • On-site

Other

Re-posted 16 days ago

Job description

Are you passionate about applying machine learning to transform the future of semiconductor design? At Falcomm, we are on a mission to revolutionize semiconductor technologies by integrating AI-driven solutions into the design and development of our energy-efficient power amplifier products. As a ML Software Engineer Intern in AI/CAD Integration, you will collaborate with our team of experts to develop and deploy AI/ML models that enhance CAD workflows, automate design processes, and accelerate innovation in RFIC design. This role offers a unique opportunity to work at the intersection of software engineering, machine learning, and semiconductor design, contributing directly to tools and methodologies that drive next-generation hardware solutions.
We are seeking an intern who thrives in a fast-paced environment, is eager to tackle complex technical challenges, and is motivated to turn AI research into practical engineering solutions. If you have a strong foundation in machine learning, software development, and a desire to apply these skills to advance semiconductor innovation, we invite you to join us. At Falcomm, your creativity and technical expertise will help shape energy-efficient technologies that set new industry standards.
Responsibilities
  • Design and implement code for training/serving ML models in chip design workflows
  • Automate creation of large datasets for training models
  • Integrate ML models into existing chip design software infrastructure
  • Write comprehensive tests and documentation
  • Collaborate with engineers to understand model requirements and deployment needs
  • Participate in code reviews and follow software engineering best practices
  • Research and evaluate new technologies for ML model serving and deployment

Requirements
  • Currently pursuing a degree in Computer Science, Electrical Engineering, or related field
  • Availability to work at least part-time starting in Fall 2026
  • Strong Python programming skills with experience in scripting and automation
  • Understanding of software engineering principles and code organization
  • Experience with data processing libraries (pandas, numpy, scipy)
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
  • Basic understanding of file I/O, data parsing, and format conversion
  • Experience with version control systems (Git) and collaborative development

Preferred Skills
  • Exposure to CAD tools or EDA software (Cadence, Synopsys, Mentor Graphics, etc.)
  • Knowledge of chip design file formats (GDSII, LEF/DEF, Verilog, SPICE)
  • Experience with shell scripting (bash) and command-line tools
  • Understanding of semiconductor design concepts
  • Familiarity with Linux environments
  • Experience with workflow automation and batch processing systems
  • Knowledge of data visualization tools (matplotlib, plotly) for design analysis
  • Understanding of software testing frameworks and debugging techniques

Benefits
  • Competitive Salary
  • Sick Leave

DISCLOSURE
  • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
  • Applicants wishing to view a copy of Falcomm's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm.
  • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

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