AI-Assisted Foundation IP Development Intern
Ambiq Micro, Inc.
Salary undisclosed
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Description
Company Overview
Ambiq is on a mission to enable intelligence everywhere — powering the AI edge revolution with the world's lowest-power semiconductor solutions.
Built on our proprietary sub- and near-threshold technology, our chips deliver multi-fold improvements in energy efficiency without costly process scaling. Since 2010, we've shipped over 300 million units to customers building smarter wearables, medical devices, IoT products, and AI-powered edge applications.
Our cross-functional teams span design, research, development, production, marketing, sales, and operations across Austin, Hsinchu, Shanghai, Shenzhen, and Singapore. We move fast, tackle hard problems, and create space for people to grow through complex, meaningful work that shapes the future of technology.
We're looking for self-motivated, creative problem-solvers who are eager to push technological limits and make a real impact in energy efficiency.
At Ambiq, we live by five values: Innovate. Collaborate. Focus. Learn. Achieve.
If that's you, join us — the intelligence everywhere revolution starts here.
AI-Assisted Foundation IP Development Intern
About the Role
Part of Foundation IP team on standard cell and memory compiler IP for edge AI SoCs — including using data analysis and ML to spot trends in characterization data and flag outliers early.
Responsibilities
- Support circuit design, spice/Monte Carlo simulation and layout of standard cells
- Perform layout tasks (placement, routing, DRC/LVS cleanup) for foundation IP
- Characterize standard cells (timing, power, noise) across PVT corners
- Run characterization flows using tools like Liberate
- Analyze characterization data using Python (pandas, scikit-learn) to find trends and outliers
- Build simple predictive models to flag likely failures and reduce simulation runs
- Help debug mismatches between simulated and characterized results
- Document findings and share with the IP team
Qualifications
- Pursuing a BS in EE, CE, Microelectronics, or related field (rising Junior/Senior)
- Coursework in digital logic, Analog, AI/ML, data Science, VLSI, or semiconductor devices
- Basic understanding of circuit design and IC layout (DRC/LVS) concepts
- Working knowledge of Python and basic ML concepts (regression, clustering)
- Comfort working with large datasets
Nice to Have
- Exposure to layout/schematic tools (Virtuoso, Calibre) or characterization tools (Liberate, Tempus)
- A class project applying ML to engineering or scientific data
- Interest in low-power IP for edge AI/IoT
About this role
Ambiq's Foundation IP team is developing the standard cell and memory compiler building blocks for edge AI semiconductors, and this internship puts you at the intersection of circuit design and data science. You'll support the full lifecycle of these components—from circuit simulation and physical layout through characterization across process, voltage, and temperature corners—while using Python and machine learning to analyze characterization data, spot trends, and flag potential failures before they become expensive problems. The role combines hands-on IC design work with the kind of data analysis that can meaningfully reduce simulation time and improve design quality.
This is a good fit if you're a rising junior or senior in electrical engineering, computer engineering, or a related discipline with some grounding in circuit design, VLSI, and Python. You should be comfortable with the fundamentals of digital and analog circuits, understand layout concepts like DRC and LVS, and have picked up basic ML ideas like regression or clustering—either in a class or through a project. Prior exposure to industry tools like Virtuoso, Calibre, or Liberate is a plus but not required; what matters more is that you can learn them quickly and think analytically about data.
You'll be working in-office in Singapore as part of a cross-functional team that values moving fast and solving hard problems. If you're self-motivated, curious about how low-power chips actually get built, and interested in applying ML to real engineering challenges, this internship offers meaningful work on technology that powers millions of edge devices.
Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable AI-Assisted Foundation IP Development Intern postings in your area, and analyze any offer before you accept it.
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