Memory Lead Engineer

Reposted 18 Hours Ago
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Singapore, SGP
In-Office
Senior level
Hardware • Internet of Things • Software • Wearables • Semiconductor
Join the Team Powering the Future of Edge AI
The Role
Lead end-to-end memory deployments: define memory roadmap, evaluate and simulate memory architectures (SRAM/DRAM/HBM/RRAM/MRAM), lead characterization, work with architects, circuit and process teams, and third-party vendors to ensure energy-efficient, high-yield memory integration.
Summary Generated by Built In

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.


Scope 

We are seeking an experienced Memory Lead Engineer with expertise in memory technologies including SRAM, DRAM, HBM, RRAM, and MRAM. Energy Efficient memory has become vital for Ambiq’s products, particularly as edge AI workloads grow in complexity.  As a Memory Lead Engineer, you will be responsible for end-to-end memory deployments into our products, such as defining the memory roadmap, memory evaluation, recommending memory architectures and circuit design strategies, leading memory characterization, and more.  Your role will involve working closely with cross-functional teams, including system architects, circuit designers, and process engineers within Ambiq, as well as third-party memory vendors and foundries.

Responsibilities

  • Research and analyze the latest memory technologies to understand their characteristics, advantages, and its limitations to provide energy efficient memory solution
  • Collaborate with system architects and product teams to define memory requirements and specifications for next-generation products.
  • Evaluate and simulate memory circuits and develop memory architecture and customization proposals.
  • Serve as lead using both internal and third-party resources to implement new memory architectures and customizations.
  • Lead memory characterization and compiler efforts.
  • Conduct detailed circuit and system-level simulations to evaluate memory performance, stability, and reliability.
  • Work closely with process engineers and third-party foundry engineers to ensure high yield and reliability for new memories.
  • Conduct thorough analysis of memory test data, identify issues, and propose design enhancements or process modifications.
  • Stay up to date with the latest advancements and industry trends in emerging memory technologies and contribute to technical discussions and brainstorming sessions.

Qualifications

  • Bachelor’s degree in electronics engineering or a related field. A master's or Ph.D. degree is preferred.
  • Experience in memory architecture design and memory compilers, particularly in HBM, SRAM, DRAM, MRAM, and RRAM. Proficiency in low power and high-performance memory technologies.
  • Strong understanding of memory architectures, including memory cells, sense amplifiers, drivers, and peripheral circuits.
  • Proficiency in industry-standard EDA tools for circuit simulation and design.
  • Experience running memory characterization using standard EDA tools.
  • Knowledge of layout design principles and experience working closely with layout designers.
  • Familiarity with semiconductor manufacturing processes and integration challenges.
  • Ability to conduct detailed analysis and troubleshooting of memory test data.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Strong communication and teamwork skills to collaborate with cross-functional teams.
  • Demonstrated ability to adapt to changing project priorities and meet tight deadlines.

Skills Required

  • Bachelor's degree in electronics engineering or related field
  • Master's or Ph.D. degree
  • Experience in memory architecture design and memory compilers (HBM, SRAM, DRAM, MRAM, RRAM)
  • Proficiency in low-power and high-performance memory technologies
  • Strong understanding of memory cells, sense amplifiers, drivers, and peripheral circuits
  • Proficiency with industry-standard EDA tools for circuit simulation and design
  • Experience running memory characterization using standard EDA tools
  • Knowledge of layout design principles and experience working with layout designers
  • Familiarity with semiconductor manufacturing processes and integration challenges
  • Ability to analyze and troubleshoot memory test data
  • Excellent problem-solving, communication, and teamwork skills
  • Ability to adapt to changing project priorities and meet tight deadlines
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The Company
HQ: Austin, Texas
220 Employees
Year Founded: 2010

What We Do

Ambiq® enables intelligence (AI and beyond) everywhere by delivering the lowest-power semiconductor solutions for battery-powered edge devices. As a pioneer in ultra-low power SoCs, Ambiq empowers wearables, IoT, smart home, healthcare, and industrial products with always-on, energy-efficient intelligence. Backed by our SPOT® technology and global innovation leadership, Ambiq is shaping the future of edge AI.

Why Work With Us

Direct influence on silicon architecture Smaller, high-impact teams Hardware/software co-design in real time Faster technical decision cycles Visible ownership at Staff & Director level Austin-based collaboration culture

Ambiq Offices

OnSite Workspace

Building silicon and embedded AI systems requires tight collaboration across firmware, hardware, validation, and architecture teams. We believe the hardest engineering problems are solved through direct, daily collaboration.

Typical time on-site:
HQAustin, Texas
Taiwan
China
Singapore
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