Join Ambiq as an AI-Assisted Memory Design Intern to explore AI-driven memory design techniques for improved performance and efficiency.
Posted by employer 4 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 19 hours ago
What you'll build
- Analyze conventional memory assist techniques
- Investigate AI/ML-based techniques for memory conditions
- Explore self-timed and self-adaptive memory techniques
- Develop AI/ML-assisted monitoring and control techniques
- Document and present self-adaptive memory architecture
Must have
- Pursuing a BS in EE, CE, Microelectronics, or related field
- Coursework in Digital Integrated Circuits, Analog Circuit Design, VLSI Design, or Semiconductor Devices
- Basic understanding of CMOS circuit design and IC layout concepts
- Working knowledge of Python and basic ML concepts
Nice to have
- Exposure to layout/schematic tools
- Interest in low-power IP for edge AI/IoT
- Strong passion and curiosity to learn transistor-level circuit design
Requirements
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
The AI-Assisted Memory Design Intern at Ambiq engages in the exploration of AI-driven memory design techniques, focusing on optimizing performance and power efficiency through innovative control logic and voltage modulation. Key skills include a background in electrical engineering or related fields, familiarity with machine learning concepts, and proficiency in Python. This role is ideal for rising juniors or seniors who possess strong analytical abilities and a keen interest in low-power semiconductor technologies. Ambiq's collaborative environment encourages creative problem-solving and growth in a fast-paced tech landscape.
Joblaze insights
- Listed 2 days ago — first seen on Joblaze October 1, 2026. Last confirmed on Ambiq's careers page October 3, 2026.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Python.
- What seniority level is this role?
- Ambiq targets intern candidates for this position.
- Is this full-time or contract?
- Internship for this AI-Assisted Memory Design Intern role at Ambiq.
From the original posting
Company Overview
About the Role
Work closely with foundation IP team and explore Artificial Intelligence (AI)-assisted and self-adaptive memory design techniques that leverage operating-condition awareness to dynamically optimize memory operation for improved performance, power efficiency, and yield.
Responsibilities
- Analyze conventional memory assist techniques and explore how AI/ML-driven learning and optimization can enhance control logic, supply modulation, boosted/negative voltages, and replica/tracking schemes.
- Investigate AI/ML-based techniques to analyze memory operating conditions, identify failure signatures, and predict robustness across voltage, temperature, process variation, timing, and parasitic effects.
- Explore self-timed, self-adaptive, and intelligent memory techniques that learn from operating conditions and dynamically optimize assist decisions for improved robustness, power, performance, and yield.
- Develop AI/ML-assisted monitoring, prediction, and adaptive control techniques for dynamically optimizing memory assist, voltage, timing, and read/write operations.
- Document, benchmark, and present the proposed self-adaptive memory architecture and key design insights.
Qualifications
- Pursuing a BS in EE, CE, Microelectronics, or related field (rising Junior/Senior).
- Coursework in Digital Integrated Circuits, Analog Circuit Design, VLSI Design, or Semiconductor Devices.
- Coursework in Machine Learning, Optimization, Data Analytics, Computational Methods or related courses.
- Basic understanding of CMOS circuit design and IC layout (DRC/LVS) concepts.
- Working knowledge of Python and basic ML concepts (regression, clustering).
- Comfort working with large datasets.
- Strong analytical and problem-solving ability.
Nice to Have
- Exposure to layout/schematic tools (Virtuoso, Calibre) or characterization tools (SiliconSmart, PrimeTime, Liberate)
- Interest in low-power IP for edge AI/IoT
- Strong passion, eagerness, and curiosity to learn and explore transistor-level circuit design.
Standard company text repeated across Ambiq's postings is omitted here.
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