Texas Instruments · 4 hours ago
Systems Engineering Intern (CIM)
Texas Instruments is a global semiconductor company that designs and manufactures analog and embedded processing chips. They are seeking a highly motivated PhD student for a Systems Engineering Intern role to work on cutting-edge digital compute in-memory research and development for resource-constrained microcontroller applications.
ComputerDSPSemiconductor
Responsibilities
Research and develop novel digital compute in-memory architectures optimized for edge AI workloads on microcontrollers
Explore algorithm-hardware co-design techniques to maximize energy efficiency and computational throughput within strict power and cost constraints
Collaborate with internal technology design teams to simulate and validate CIM-based solutions
Develop and optimize machine learning models and inference engines specifically tailored for in-memory computing paradigms
Participate in the design and implementation of software toolchains and simulation frameworks for CIM evaluation
Investigate memory hierarchy optimizations and data movement reduction strategies for edge processing
Qualification
Required
Currently pursuing a graduate degree in Electrical Engineering, Computer Engineering, Electrical and Computer Engineering or related field
Cumulative 3.0/4.0 GPA or higher
Preferred
Solid background in computer architecture, digital design, memory systems, and/or embedded systems
Proven track record of research in compute in-memory architectures, processing-in-memory (PIM), or near-memory computing as demonstrated by first-authored publications at leading architecture/systems conferences (e.g., ISCA, MICRO, HPCA, DAC, ISSCC)
Proficiency in hardware description languages (Verilog/VHDL) and/or architectural simulation tools
Strong programming skills in Python and C/C++, including performance analysis and optimization
Experience with machine learning model optimization, quantization, and deployment on resource-constrained devices
Knowledge of SRAM/DRAM circuit design and memory architecture principles
Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) and embedded ML libraries (e.g., TensorFlow Lite, CMSIS-NN)
Understanding of energy-efficient computing techniques and power modeling
Experience with algorithm-hardware co-design methodologies
Excellent communication and interpersonal skills, with the ability to work in a dynamic and distributed team
Ability to establish strong relationships with key stakeholders critical to success, both internally and externally
Strong verbal and written communication skills to audiences of varied background
Ability to simplify complex problems and navigate uncertainty
Ability to quickly ramp on new systems and processes
Demonstrated strong interpersonal, analytical and problem-solving skills
Ability to work in teams and collaborate effectively with people in different functions
Ability to take the initiative and drive for results
Strong time management skills that enable on-time project delivery
Benefits
Competitive pay and benefits designed to help you and your family live your best life
Company
Texas Instruments
Texas Instruments is a global semiconductor company that manufactures, designs, tests, and sells embedded and analog processing chips.
H1B Sponsorship
Texas Instruments has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (189)
2024 (184)
2023 (148)
2022 (222)
2021 (165)
2020 (179)
Funding
Current Stage
Public CompanyTotal Funding
$13.61BKey Investors
U.S. Department of Commerce
2025-05-20Post Ipo Debt· $1.2B
2024-12-20Grant· $1.61B
2024-05-28Post Ipo Equity· $2.5B
Leadership Team
Recent News
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2026-01-13
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