Job Details

Compute-in-Memory based AI Hardware Design Engineer (Kilby Labs)

Texas Instruments
Dallas, Texas, United States
About TI Texas Instruments Incorporated (TI) is a global semiconductor design and manufacturing company that develops analog and embedded processing ICs. By employing the world's brightest minds, TI creates innovations that shape the future of technology. We're committed to building a better future - from the responsible manufacturing of our semiconductors, to caring for our employees, to giving back inside our communities and developing great minds. Put your talent to work with us - change the world, love your job! About the job TI Kilby Lab is seeking highly qualified applicants for the position of research design engineer for Machine Learning enabled by Compute-in-Memory (CiM) technology for In-the-sensor-Computing in various IoT applications. Our team pursues deeply embedded, ultra-low power AI compute IC HW/SW to enable various smart audio/video devices, industrial sensor nodes, robotics, smart edge computing applications. As a member of the team, you will work on some of the most challenging technical problems. In this role: You will lead the development of low cost, ultra-low power, robust CiM macro(s) based on SRAM and other NVM technologies, and associated architecture and algorithmic innovations in the context of Deep Neural Network hardware acceleration and feature-extraction. You will work with various technologists from R team as well as various business units inside the company to put the solution from idea into products. In addition, you will have opportunity to engage with technical communities in TI to share your ideas and solutions. Minimum requirements: Masters degree in EE/CE (Analog/Digital Signal Processing/Circuit Design) or related areas. 3+ years' relevant work experience Preferred experience: Project level experience for Compute-in-Memory: which includes (but not limited to) in-depth knowledge of memory architecture, design, layout and process for SRAM and or NVM along with associated analog interface design (ADC/DAC) and timing circuits to implement DNN or any other computational applications Benchmark against none CiM based implementation with performance, power consumption, form factor for tradeoff analysis and architecture decisions Experience in silicon implementation, verification and validation of CiM macro and mixed-signal IPs as well as embedded CPU (such as ARM Cortex-M) based SoCs Experience in architecting/designing of ultra-low power mixed-signal sensing elements such as ADC/DAC, various filters, signal conditioning, analog components calibration over environmental parameters in the area of: circuits - design and verification, modelling for optimal analog-digital partitioning, cost/power optimizations, etc. Good understanding of CMOS process technology - including scaling, key technology components such as SRAM/NVM bit-cell, multi-Vt and multi-voltage support etc. Good understanding of Machine Learning technologies: feature-extraction, DNN topologies and algorithms, DNN training and quantization frameworks such as PyTorch/TensorFlow Be able to perform system level integrated performance benchmark and tests: HW vs SW implementations, MIPS/Memory/power trade-offs as well as experience at chip creation Comfortably get on the bench in the lab to take the measurements and debug the HW components at both IC level as well as PCB level. Collecting Analog or Digital signals using various lab equipments Excellent programming skills in Python, Pytorch, TensorFlow, Matlab, C/C++, as well as analog design platforms (Spice, etc) in the server farm platform Familiar with TinyML Expected to perform well in a fast-paced environment, to execute on the tasks assigned, to meet the project deadlines and at the same time, to explore independently new innovative ideas that can improve and optimize Ability to work with other research design engineers from multiple disciplines to create, test, benchmark/calibrate and optimize the final product. Be able to deliver end results with highest standards of quality, scientific rigor, innovation, and ease of use Successful applicants for this position must be fully vaccinated against COVID-19 as a condition of employment. Vaccine verification will be required by October 29, 2021 or your start date, whichever is later, unless an exemption has been approved by TI as a medical or religious accommodation. If you are interested in this position, please apply to this requisition. Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.

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