Job Details

Software Architect, AI/ML
TX, United States
Job ID
Job Description

Company Overview:

Ambiq has been on a singular mission since 2010 to put intelligence everywhere by creating the most energy-efficient semiconductor solutions for IoT endpoint devices. Using the revolutionary Subthreshold Power Optimized Technology (SPOT®) Platform, Ambiq’s record-breaking ultra-low power solutions, including MCU and SoCs, have helped global device makers deliver more than 150 million products with advanced features, enhanced performance, and extended battery life.

With a leading market share in wearables at the speed of shipping 1 million units per month, Ambiq is now expanding its impact on novel endpoint products such as hearables, smart home automation, industrial IoT preventive monitoring, and more. 

Our innovative and fast-moving teams of research, development, production, marketing, sales and operations are spread across several continents, including the US (Austin and San Jose), Taiwan (Hsinchu), China (Shenzhen and Shanghai), Japan (Tokyo), and Singapore. We value continued technology innovation, fanatical attention to customer needs, collaborative decision making, and, above all, enthusiasm for energy efficiency. We embrace candidates who also share these same values. The successful candidate must be self-motivated, creative, and comfortable learning and driving exciting new technologies. We encourage and nurture an environment for growth and opportunities to work on complex, interesting, and challenging projects that will create a lasting impact. Come join us on our quest for 100 billion devices. The endpoint intelligence revolution starts here.

  • The candidate will be working with Global Marketing, Advance Development, Architecture & Artificial Intelligence teams to drive AI/ML architecture for new ultra-low power SoCs on Ambiq’s technology and product roadmaps.
  • Help define AI/ML flows and requirements at system level and appropriate hardware/software partitioning to meet overall machine learning objectives, working together with SoC Architects and AI data scientists.
  • Develop high level software specifications, establish end to end use cases and flows, and drive design reviews for AI/ML software, including the base ML SDK, tools and specifically targeted models
  • Define best practices for running prevalent ML frameworks on Ambiq SoC, including memory placement, IPC optimizations, DSP/sensor libraries etc. and help accelerate and automate deployment of AI models to Ambiq SoCs
  • Define and drive best practices for directly compiled AI/ML runtimes, and work with partners as needed
  • Work with the Software Development teams to transition architecture specification into Ambiq’s products
  • Apply best practices to Ambiq’s Model Zoo, working with the AI team.
  • Evaluation and selection of best libraries for integration with SDK.
  • Interface with customers to understand critical ML requirements and deployment scenarios for enablement of Ambiq AI/ML solutions
  • Support post-silicon analysis, testing and delivery of AI enabled products to customers for mass production
  • BS/MS (EE, CE, or CS) with 10+ years of Embedded Software development experience with embedded systems/real-time environments (bare metal and RTOS).
  • At least 4 years’ experience working on Artificial Intelligence and Machine Learning in the IoT space.
  • Prior experience with enablement of AI frameworks like Tensorflow (micro) and PyTorch
  • Familiarity with ML compilers like GLOW, TVM, and Vela highly preferred
  • Experience doing performance modeling and optimization preferred
  • Experience working with NPUs like ARM Ethos preferred
  • Understanding of software testing and test automation principles & defect management practices
Aleron companies (Broadleaf Results and TalentRISE) are Equal Employment Opportunity and Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

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