Systems Engineering Internship jobs at Texas Instruments - 90 jobs

We are seeking a highly motivated PhD student to join our Generative AI team this summer to work on cutting-edge Large Language Model (LLM) research and development for Edge AI applications. As a key member of our team, you will focus on advancing the state-of-the-art in LLMs and Agentic LLMs, with applications in coding generation and optimization. Your work will involve exploring innovative approaches to integrate LLMs with other AI techniques to achieve human-like decision-making capabilities. In this machine learning research engineer intern role, you'll have the chance to: + Research and develop novel LLM architectures and training methods to improve performance and efficiency + Explore the application of LLMs in coding generation, optimization, and other areas of interest + Collaborate with internal business teams to define and implement AI strategies for our products + Develop and maintain large-scale deep learning systems, incorporating LLMs and other AI techniques + Participate in the design and implementation of advanced Agentic LLM system About us **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 innovates that shape the future of technology with commits to building a better future. The future which covers from the responsible manufacturing of our semiconductors, to caring for our employees, to giving back to our communities and developing great minds. Put your talent to work with us - change the world, love your job! **Kilby Labs, TI's central technology organization** , is a global organization grouped by a variety of research engineers from multiple technology disciplines to deliver semiconductor technologies and solutions for future large volume products in a fast moving pace. The engineer is expected to do system modeling and simulations for solutions feasibility study, define and build system prototypes to demonstrate the functionality and understand application needs and limitations. Our Generative AI team is at the forefront of AI research, developing and applying AI algorithms, training models, and optimizing hardware and software for real-world problem-solving. We are passionate about harnessing the power of AI to create intelligent systems that can interact, learn, and adapt in complex environments. **Why TI?** + Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. + We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI (*************************************** UI/CandidateExperience/en/sites/CX/pages/4012) + Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. **About Texas Instruments** Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . 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. If you are interested in this position, please apply to this requisition. **Minimum Requirements** + Currently enrolled in a PhD program in Computer Science, Electrical and Computer Engineering, or related fields + Cumulative 3.0/4.0 GPA or higher **Preferred Qualifications:** + Solid background in Natural Language Processing, Large Language Models, and Deep Learning frameworks + Proven track record of designing, developing, and deploying machine learning models/LLMs as demonstrated by first-authored publications at leading AI/ML workshops or conferences + Proficiency in Python, C/C++, and software design, including debugging, performance analysis, and optimization + Excellent understanding of LLM architectures and transformer-based models + Experience with popular deep learning frameworks (e.g., PyTorch, JAX, ONNX) and LLM-specific libraries (e.g., transformers, trl, vllm) + Knowledge of few-shot learning, transfer learning, and fine-tuning + Knowledge of LLM performance evaluation + Knowledge of reinforcement learning for LLM; + Knowledge of LLM post-training implementation, including PPO, DPO, and GRPO + Experience with Agentic AI implementation with tool calling + Excellent communication and interpersonal skills, with the ability to work in a dynamic and distributed team **ECL/GTC Required:** Yes

This Systems Engineering Intern role is within Kilby Labs, the central R&D organization of Texas Instruments (TI). The lab is chartered to develop novel and innovative technologies and strategies for new business opportunities, drive next generation, differentiated technologies for existing businesses and recruit top technical talent for TI. In this Systems Engineering intern role, you will have the chance to innovate on system architectures and algorithms for sensing applications in industrial market, energy infrastructure, and robotics. You will be developing new system concepts and approaches including embedded AI models, demonstrating the concepts through system level simulations and hardware prototyping and engaging with the product group to drive new differentiated product development. We are looking for a dynamic, self-motivated, hard-working, results-oriented individual to contribute in an extremely talented team environment. **Responsibilities** System Knowledge: Develop and apply system expertise in a given application area and design solutions using existing TI silicon devices (DSPs, MCUs, MPUs, analog components, etc.) as well as specify and develop new devices Signal Processing: Develop algorithms to calibrate, intelligently operate and analyze sensor data, and provide desired excitation signals/results for a given application Hardware Design: Define data and control data paths, AFE hardware requirements for sensor and actuation interfaces to digital signal processing units (DSPs, MCUs, MPUs, etc) and work with board designers to develop prototype systems System Simulations: Develop complete system simulations to validate the viability of a given solution, analyze system performance requirements and perform system tradeoff analysis Prototyping: Develop a working prototype together with team members using TI product portfolio: DSP/MCU/MPU device + AFE + sensor to demonstrate solutions Product Development: Work with team members to provide necessary collateral (simulations, software, schematics, test infrastructure, user guides, and performance results) to ensure a smooth transition from prototyping to product development Intellectual Property: Generate relevant patents to protect TI position in the application space Emerging Technologies: Monitor competitive landscape for performance benchmarks relative to competition and find new applications/opportunities using existing TI products or define future products **Why TI?** + Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. + We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI (*************************************** UI/CandidateExperience/en/sites/CX/pages/4012) + Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. **About Texas Instruments** Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . 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. If you are interested in this position, please apply to this requisition. **Minimum Requirements** + Currently pursuing Masters or PhD degree in Electrical Engineering, Electrical and Computer Engineering or related field with algorithm and signal processing/data analytics background and mixed signal hardware experience + Cumulative 3.0/4.0 GPA or higher **Preferred Qualifications:** Demonstrated signal processing design experience for mixed-signal sensing solutions Proficient with simulation tools (e.g. Matlab/Simulink/Python) to develop system simulations that include sensor models and circuit components to analyze potential mixed-signal solutions Experience in resolving differences between simulation and real time prototype results to demonstrate value in proposed solution Circuit analysis to understand sensing frontend, noise sources, distortions, etc. Experience in debugging HW/SW and delivering a prototype that meets requirements Experience with current sensing using magnetic sensors On-time delivery of solutions with high quality Works well with others and can brainstorm potential solutions together **ECL/GTC Required:** Yes

We are seeking a highly motivated PhD student to join our Generative AI team this summer to work on cutting-edge Large Language Model (LLM) research and development for Edge AI applications. As a key member of our team, you will focus on advancing the state-of-the-art in LLMs and Agentic LLMs, with applications in coding generation and optimization. Your work will involve exploring innovative approaches to integrate LLMs with other AI techniques to achieve human-like decision-making capabilities. In this machine learning research engineer intern role, you'll have the chance to: * Research and develop novel LLM architectures and training methods to improve performance and efficiency * Explore the application of LLMs in coding generation, optimization, and other areas of interest * Collaborate with internal business teams to define and implement AI strategies for our products * Develop and maintain large-scale deep learning systems, incorporating LLMs and other AI techniques * Participate in the design and implementation of advanced Agentic LLM system About us 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 innovates that shape the future of technology with commits to building a better future. The future which covers from the responsible manufacturing of our semiconductors, to caring for our employees, to giving back to our communities and developing great minds. Put your talent to work with us - change the world, love your job! Kilby Labs, TI's central technology organization, is a global organization grouped by a variety of research engineers from multiple technology disciplines to deliver semiconductor technologies and solutions for future large volume products in a fast moving pace. The engineer is expected to do system modeling and simulations for solutions feasibility study, define and build system prototypes to demonstrate the functionality and understand application needs and limitations. Our Generative AI team is at the forefront of AI research, developing and applying AI algorithms, training models, and optimizing hardware and software for real-world problem-solving. We are passionate about harnessing the power of AI to create intelligent systems that can interact, learn, and adapt in complex environments. Minimum Requirements * Currently enrolled in a PhD program in Computer Science, Electrical and Computer Engineering, or related fields * Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: * Solid background in Natural Language Processing, Large Language Models, and Deep Learning frameworks * Proven track record of designing, developing, and deploying machine learning models/LLMs as demonstrated by first-authored publications at leading AI/ML workshops or conferences * Proficiency in Python, C/C++, and software design, including debugging, performance analysis, and optimization * Excellent understanding of LLM architectures and transformer-based models * Experience with popular deep learning frameworks (e.g., PyTorch, JAX, ONNX) and LLM-specific libraries (e.g., transformers, trl, vllm) * Knowledge of few-shot learning, transfer learning, and fine-tuning * Knowledge of LLM performance evaluation * Knowledge of reinforcement learning for LLM; * Knowledge of LLM post-training implementation, including PPO, DPO, and GRPO * Experience with Agentic AI implementation with tool calling * Excellent communication and interpersonal skills, with the ability to work in a dynamic and distributed team Minimum Requirements * Currently enrolled in a PhD program in Computer Science, Electrical and Computer Engineering, or related fields * Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: * Solid background in Natural Language Processing, Large Language Models, and Deep Learning frameworks * Proven track record of designing, developing, and deploying machine learning models/LLMs as demonstrated by first-authored publications at leading AI/ML workshops or conferences * Proficiency in Python, C/C++, and software design, including debugging, performance analysis, and optimization * Excellent understanding of LLM architectures and transformer-based models * Experience with popular deep learning frameworks (e.g., PyTorch, JAX, ONNX) and LLM-specific libraries (e.g., transformers, trl, vllm) * Knowledge of few-shot learning, transfer learning, and fine-tuning * Knowledge of LLM performance evaluation * Knowledge of reinforcement learning for LLM; * Knowledge of LLM post-training implementation, including PPO, DPO, and GRPO * Experience with Agentic AI implementation with tool calling * Excellent communication and interpersonal skills, with the ability to work in a dynamic and distributed team

We can't predict what the future holds, but we know Texas Instruments will have a part in shaping it. At TI, Systems engineers focus deeply on understanding the technical needs, and future trends of an industry or end equipment, then create new products and innovative forward-looking product roadmaps to solve them. Systems Engineers are an integral part each phase of new product development at TI. In the early stages of product development, systems engineers interface with key stakeholders (customer decision-makers, application engineers, marketing, management, sales, IC design engineers, technology development) to negotiate specifications, perform trade-offs, understand the competitive landscape, and ultimately develop detailed technical definitions for new products. They then collaborate with the full IC development team (design, applications, test, product engineers) to deliver products to the market which are compelling, competitive, cost-conscious, manufacturable, and importantly, successful in growing TI's business. We are seeking a highly motivated PhD student to join our Embedded AI team in Kilby Labs this summer to work on cutting-edge on-device training research and development for resource-constrained microcontroller applications. As a key member of our team, you will focus on enabling learning and adaptation capabilities directly on edge devices with strict power and cost constraints. Your work will involve exploring innovative approaches to co-optimize training algorithms, memory management, and hardware architectures to make on-device learning practical for embedded systems across diverse real-world applications. In this systems engineering intern role, you'll have the chance to: * Research and develop memory-efficient on-device training algorithms optimized for microcontroller-class devices, including techniques for supervised learning, unsupervised learning, and tiny reinforcement learning that enable local model adaptation and personalization without extensive cloud connectivity * Explore hardware-aware training algorithm development through system-level co-design, creating novel training methods specifically optimized for future generations of TI's low-power processors and accelerators * Apply edge training techniques to practical real-world applications on TI platforms * Collaborate with internal systems and application engineers to prototype and validate on-device training solutions through simulation, hardware evaluation, and real-world deployment scenarios * Develop and optimize training-aware neural network architectures and reinforcement learning agents specifically tailored for resource-constrained edge platforms with limited memory and compute resources * Investigate memory-efficient backpropagation techniques, gradient compression methods, sparse training approaches, and incremental learning strategies for embedded systems * Participate in the design and implementation of software frameworks and tools for on-device training deployment, benchmarking, and performance analysis across different application domains * Interface with application teams, customers, and internal stakeholders to understand real-world use cases, define system requirements for adaptive edge AI solutions, and identify opportunities for on-device learning in TI's product portfolio Put your talent to work with us as a systems engineering intern - change the world, love your job! Minimum Requirements: * 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 Qualifications: * Solid background in machine learning, embedded systems, computer architecture, and/or edge AI, with particular interest in on-device training, reinforcement learning, or resource-constrained learning systems * Proven track record of research in on-device learning, federated learning, continual learning, efficient training methods, or tiny ML as demonstrated by first-authored publications at leading ML/systems conferences (e.g., NeurIPS, ICML, MLSys, ICLR, ASPLOS, MobiCom, TinyML) * Strong programming skills in Python and C/C++, with experience in embedded software development and optimization for resource-constrained platforms * Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and embedded ML deployment (e.g., TensorFlow Lite, TinyML frameworks) * Knowledge of training optimization techniques including gradient compression, quantization-aware training, memory-efficient backpropagation, and low-rank adaptation methods * Understanding of reinforcement learning fundamentals and experience with lightweight RL algorithms suitable for embedded deployment * Familiarity with unsupervised and self-supervised learning techniques that can operate with limited labeled data on edge devices * Understanding of neural network pruning, knowledge distillation, model compression techniques, and neural architecture search * Experience with microcontroller platforms (e.g., ARM Cortex-M series, RISC-V) and real-time embedded systems programming * Knowledge of fixed-point arithmetic, low-precision training methods, and mixed-precision optimization * Experience with algorithm-hardware co-design and performance-power trade-off analysis for edge AI systems * Familiarity with control systems, feedback loops, signal processing, or sensing applications * 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 Minimum Requirements: * 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 Qualifications: * Solid background in machine learning, embedded systems, computer architecture, and/or edge AI, with particular interest in on-device training, reinforcement learning, or resource-constrained learning systems * Proven track record of research in on-device learning, federated learning, continual learning, efficient training methods, or tiny ML as demonstrated by first-authored publications at leading ML/systems conferences (e.g., NeurIPS, ICML, MLSys, ICLR, ASPLOS, MobiCom, TinyML) * Strong programming skills in Python and C/C++, with experience in embedded software development and optimization for resource-constrained platforms * Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and embedded ML deployment (e.g., TensorFlow Lite, TinyML frameworks) * Knowledge of training optimization techniques including gradient compression, quantization-aware training, memory-efficient backpropagation, and low-rank adaptation methods * Understanding of reinforcement learning fundamentals and experience with lightweight RL algorithms suitable for embedded deployment * Familiarity with unsupervised and self-supervised learning techniques that can operate with limited labeled data on edge devices * Understanding of neural network pruning, knowledge distillation, model compression techniques, and neural architecture search * Experience with microcontroller platforms (e.g., ARM Cortex-M series, RISC-V) and real-time embedded systems programming * Knowledge of fixed-point arithmetic, low-precision training methods, and mixed-precision optimization * Experience with algorithm-hardware co-design and performance-power trade-off analysis for edge AI systems * Familiarity with control systems, feedback loops, signal processing, or sensing applications * 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

This Systems Engineering Intern role is within Kilby Labs, the central R&D organization of Texas Instruments (TI). The lab is chartered to develop novel and innovative technologies and strategies for new business opportunities, drive next generation, differentiated technologies for existing businesses and recruit top technical talent for TI. In this Systems Engineering intern role, you will have the chance to innovate on system architectures and algorithms for sensing applications in industrial market, energy infrastructure, and robotics. You will be developing new system concepts and approaches including embedded AI models, demonstrating the concepts through system level simulations and hardware prototyping and engaging with the product group to drive new differentiated product development. We are looking for a dynamic, self-motivated, hard-working, results-oriented individual to contribute in an extremely talented team environment. Responsibilities System Knowledge: Develop and apply system expertise in a given application area and design solutions using existing TI silicon devices (DSPs, MCUs, MPUs, analog components, etc.) as well as specify and develop new devices Signal Processing: Develop algorithms to calibrate, intelligently operate and analyze sensor data, and provide desired excitation signals/results for a given application Hardware Design: Define data and control data paths, AFE hardware requirements for sensor and actuation interfaces to digital signal processing units (DSPs, MCUs, MPUs, etc) and work with board designers to develop prototype systems System Simulations: Develop complete system simulations to validate the viability of a given solution, analyze system performance requirements and perform system tradeoff analysis Prototyping: Develop a working prototype together with team members using TI product portfolio: DSP/MCU/MPU device + AFE + sensor to demonstrate solutions Product Development: Work with team members to provide necessary collateral (simulations, software, schematics, test infrastructure, user guides, and performance results) to ensure a smooth transition from prototyping to product development Intellectual Property: Generate relevant patents to protect TI position in the application space Emerging Technologies: Monitor competitive landscape for performance benchmarks relative to competition and find new applications/opportunities using existing TI products or define future products Minimum Requirements * Currently pursuing Masters or PhD degree in Electrical Engineering, Electrical and Computer Engineering or related field with algorithm and signal processing/data analytics background and mixed signal hardware experience * Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: Demonstrated signal processing design experience for mixed-signal sensing solutions Proficient with simulation tools (e.g. Matlab/Simulink/Python) to develop system simulations that include sensor models and circuit components to analyze potential mixed-signal solutions Experience in resolving differences between simulation and real time prototype results to demonstrate value in proposed solution Circuit analysis to understand sensing frontend, noise sources, distortions, etc. Experience in debugging HW/SW and delivering a prototype that meets requirements Experience with current sensing using magnetic sensors On-time delivery of solutions with high quality Works well with others and can brainstorm potential solutions together Minimum Requirements * Currently pursuing Masters or PhD degree in Electrical Engineering, Electrical and Computer Engineering or related field with algorithm and signal processing/data analytics background and mixed signal hardware experience * Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: Demonstrated signal processing design experience for mixed-signal sensing solutions Proficient with simulation tools (e.g. Matlab/Simulink/Python) to develop system simulations that include sensor models and circuit components to analyze potential mixed-signal solutions Experience in resolving differences between simulation and real time prototype results to demonstrate value in proposed solution Circuit analysis to understand sensing frontend, noise sources, distortions, etc. Experience in debugging HW/SW and delivering a prototype that meets requirements Experience with current sensing using magnetic sensors On-time delivery of solutions with high quality Works well with others and can brainstorm potential solutions together

This Systems Engineering Intern role is within Kilby Labs, the central R&D organization of Texas Instruments (TI). The lab is chartered to develop novel and innovative technologies and strategies for new business opportunities, drive next generation, differentiated technologies for existing businesses and recruit top technical talent for TI. In this Systems Engineering intern role, you will be exploring cutting edge applications of reinforcement learning (RL) in next generation mixed signal and sensing systems. You will apply state of the art RL techniques to solve challenging problems in control, signal processing, and system level efficiency optimization - spanning domains such as power conversion, sensing and signal beamforming. You will develop intelligent control and adaptation strategies that push the limits of performance, efficiency, and robustness beyond traditional approaches. What you will do: * Research and implement RL based algorithms for optimizing dynamic, multi-objective systems. * Develop simulation and hardware in the loop environments to evaluate and validate RL performance. * Benchmark RL results against conventional control and optimization techniques. * Collaborate with TI's product and research teams to translate concepts into real silicon and system innovations. Responsibilities System Knowledge: Develop and apply system expertise in a given application area and design solutions using existing TI silicon devices (DSPs, MCUs, MPUs, analog components, etc.) as well as specify and develop new devices Signal Processing: Develop algorithms to calibrate, intelligently operate and analyze sensor data, and provide desired excitation signals/results for a given application. Hardware Design: Define data and control data paths, AFE hardware requirements for sensor and actuation interfaces to digital signal processing units (DSPs, MCUs, MPUs, etc) and work with board designers to develop prototype systems System Simulations: Develop complete system simulations to validate the viability of a given solution, analyze system performance requirements and perform system tradeoff analysis Prototyping: Develop a working prototype together with team members using TI product portfolio: DSP/MCU/MPU device + AFE + sensor to demonstrate solutions Product Development: Work with team members to provide necessary collateral (simulations, software, schematics, test infrastructure, user guides, and performance results) to ensure a smooth transition from prototyping to product development Intellectual Property: Generate relevant patents to protect TI position in the application space Emerging Technologies: Monitor competitive landscape for performance benchmarks relative to competition and find new applications/opportunities using existing TI products or define future products Minimum Requirements * Currently pursuing PhD degree in Electrical Engineering, Electrical and Computer Engineering or related field with algorithm and signal processing/data analytics background and mixed signal hardware experience * Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: * Strong foundation in reinforcement learning, control theory or optimization algorithms. * Proven experience with embedded control, hardware in the loop, or real-time experimentation. * Proficiency in Python (e.g. PyTorch, stable-baselines), Matlab/Simulink. * Creative thinker with hands-on problem solving and data-driven experimentation skills. * Experience in resolving differences between simulation and real time prototype results to demonstrate value in proposed solution. * Experience in debugging HW/SW and delivering a prototype that meets requirements. * On-time delivery of solutions with high quality. * Works well with others and can brainstorm potential solutions together Minimum Requirements * Currently pursuing PhD degree in Electrical Engineering, Electrical and Computer Engineering or related field with algorithm and signal processing/data analytics background and mixed signal hardware experience * Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: * Strong foundation in reinforcement learning, control theory or optimization algorithms. * Proven experience with embedded control, hardware in the loop, or real-time experimentation. * Proficiency in Python (e.g. PyTorch, stable-baselines), Matlab/Simulink. * Creative thinker with hands-on problem solving and data-driven experimentation skills. * Experience in resolving differences between simulation and real time prototype results to demonstrate value in proposed solution. * Experience in debugging HW/SW and delivering a prototype that meets requirements. * On-time delivery of solutions with high quality. * Works well with others and can brainstorm potential solutions together

This Systems Engineering Intern role is within Kilby Labs, the central R&D organization of Texas Instruments (TI). The lab is chartered to develop novel and innovative technologies and strategies for new business opportunities, drive next generation, differentiated technologies for existing businesses and recruit top technical talent for TI. In this Systems Engineering intern role, you will have the chance to innovate on system architectures and algorithms for sensing applications in industrial market, energy infrastructure, and robotics. You will be developing new system concepts and approaches including embedded AI models, demonstrating the concepts through system level simulations and hardware prototyping and engaging with the product group to drive new differentiated product development. We are looking for a dynamic, self-motivated, hard-working, results-oriented individual to contribute in an extremely talented team environment. Responsibilities System Knowledge: Develop and apply system expertise in a given application area and design solutions using existing TI silicon devices (DSPs, MCUs, MPUs, analog components, etc.) as well as specify and develop new devices Signal Processing: Develop algorithms to calibrate, intelligently operate and analyze sensor data, and provide desired excitation signals/results for a given application Hardware Design: Define data and control data paths, AFE hardware requirements for sensor and actuation interfaces to digital signal processing units (DSPs, MCUs, MPUs, etc) and work with board designers to develop prototype systems System Simulations: Develop complete system simulations to validate the viability of a given solution, analyze system performance requirements and perform system tradeoff analysis Prototyping: Develop a working prototype together with team members using TI product portfolio: DSP/MCU/MPU device + AFE + sensor to demonstrate solutions Product Development: Work with team members to provide necessary collateral (simulations, software, schematics, test infrastructure, user guides, and performance results) to ensure a smooth transition from prototyping to product development Intellectual Property: Generate relevant patents to protect TI position in the application space Emerging Technologies: Monitor competitive landscape for performance benchmarks relative to competition and find new applications/opportunities using existing TI products or define future products Minimum Requirements Currently pursuing Masters or PhD degree in Electrical Engineering, Electrical and Computer Engineering or related field with algorithm and signal processing/data analytics background and mixed signal hardware experience Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: Demonstrated signal processing design experience for mixed-signal sensing solutions Proficient with simulation tools (e.g. Matlab/Simulink/Python) to develop system simulations that include sensor models and circuit components to analyze potential mixed-signal solutions Experience in resolving differences between simulation and real time prototype results to demonstrate value in proposed solution Circuit analysis to understand sensing frontend, noise sources, distortions, etc. Experience in debugging HW/SW and delivering a prototype that meets requirements Experience with current sensing using magnetic sensors On-time delivery of solutions with high quality Works well with others and can brainstorm potential solutions together

Change the world. Love your job. In this system engineering intern role, you'll have the chance to: Develop advanced sensors and test novel design concepts Design, build, and operate test systems for advanced sensors Conduct data analysis and theoretical modeling Interface directly with TI business units to publish conclusions and define follow-on steps Put your talent to work with us as a Kilby Sensors engineering intern ! Minimum Requirements: 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 Qualifications: Matlab and Python expertise Automated data acquisition build/test experience Optical testbench experience Must have hands-on lab experience building test setups to characterize devices Knowledge of at least one programming language Strong written and verbal communication skills Strong analytical problem-solving / troubleshooting skills

We are seeking a highly motivated PhD student to join our Generative AI team this summer to work on cutting-edge Large Language Model (LLM) research and development for Edge AI applications. As a key member of our team, you will focus on advancing the state-of-the-art in LLMs and Agentic LLMs, with applications in coding generation and optimization. Your work will involve exploring innovative approaches to integrate LLMs with other AI techniques to achieve human-like decision-making capabilities. In this machine learning research engineer intern role, you'll have the chance to: Research and develop novel LLM architectures and training methods to improve performance and efficiency Explore the application of LLMs in coding generation, optimization, and other areas of interest Collaborate with internal business teams to define and implement AI strategies for our products Develop and maintain large-scale deep learning systems, incorporating LLMs and other AI techniques Participate in the design and implementation of advanced Agentic LLM system About us 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 innovates that shape the future of technology with commits to building a better future. The future which covers from the responsible manufacturing of our semiconductors, to caring for our employees, to giving back to our communities and developing great minds. Put your talent to work with us - change the world, love your job! Kilby Labs, TI's central technology organization, is a global organization grouped by a variety of research engineers from multiple technology disciplines to deliver semiconductor technologies and solutions for future large volume products in a fast moving pace. The engineer is expected to do system modeling and simulations for solutions feasibility study, define and build system prototypes to demonstrate the functionality and understand application needs and limitations. Our Generative AI team is at the forefront of AI research, developing and applying AI algorithms, training models, and optimizing hardware and software for real-world problem-solving. We are passionate about harnessing the power of AI to create intelligent systems that can interact, learn, and adapt in complex environments. Minimum Requirements Currently enrolled in a PhD program in Computer Science, Electrical and Computer Engineering, or related fields Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: Solid background in Natural Language Processing, Large Language Models, and Deep Learning frameworks Proven track record of designing, developing, and deploying machine learning models/LLMs as demonstrated by first-authored publications at leading AI/ML workshops or conferences Proficiency in Python, C/C++, and software design, including debugging, performance analysis, and optimization Excellent understanding of LLM architectures and transformer-based models Experience with popular deep learning frameworks (e.g., PyTorch, JAX, ONNX) and LLM-specific libraries (e.g., transformers, trl, vllm) Knowledge of few-shot learning, transfer learning, and fine-tuning Knowledge of LLM performance evaluation Knowledge of reinforcement learning for LLM; Knowledge of LLM post-training implementation, including PPO, DPO, and GRPO Experience with Agentic AI implementation with tool calling Excellent communication and interpersonal skills, with the ability to work in a dynamic and distributed team

We can't predict what the future holds, but we know Texas Instruments will have a part in shaping it. At TI, Systems engineers focus deeply on understanding the technical needs, and future trends of an industry or end equipment, then create new products and innovative forward-looking product roadmaps to solve them. Systems Engineers are an integral part each phase of new product development at TI. In the early stages of product development, systems engineers interface with key stakeholders (customer decision-makers, application engineers, marketing, management, sales, IC design engineers, technology development) to negotiate specifications, perform trade-offs, understand the competitive landscape, and ultimately develop detailed technical definitions for new products. They then collaborate with the full IC development team (design, applications, test, product engineers) to deliver products to the market which are compelling, competitive, cost-conscious, manufacturable, and importantly, successful in growing TI's business. We are seeking a highly motivated PhD student to join our Embedded AI team in Kilby Labs this summer to work on cutting-edge on-device training research and development for resource-constrained microcontroller applications. As a key member of our team, you will focus on enabling learning and adaptation capabilities directly on edge devices with strict power and cost constraints. Your work will involve exploring innovative approaches to co-optimize training algorithms, memory management, and hardware architectures to make on-device learning practical for embedded systems across diverse real-world applications. In this systems engineering intern role, you'll have the chance to: Research and develop memory-efficient on-device training algorithms optimized for microcontroller-class devices, including techniques for supervised learning, unsupervised learning, and tiny reinforcement learning that enable local model adaptation and personalization without extensive cloud connectivity Explore hardware-aware training algorithm development through system-level co-design, creating novel training methods specifically optimized for future generations of TI's low-power processors and accelerators Apply edge training techniques to practical real-world applications on TI platforms Collaborate with internal systems and application engineers to prototype and validate on-device training solutions through simulation, hardware evaluation, and real-world deployment scenarios Develop and optimize training-aware neural network architectures and reinforcement learning agents specifically tailored for resource-constrained edge platforms with limited memory and compute resources Investigate memory-efficient backpropagation techniques, gradient compression methods, sparse training approaches, and incremental learning strategies for embedded systems Participate in the design and implementation of software frameworks and tools for on-device training deployment, benchmarking, and performance analysis across different application domains Interface with application teams, customers, and internal stakeholders to understand real-world use cases, define system requirements for adaptive edge AI solutions, and identify opportunities for on-device learning in TI's product portfolio Put your talent to work with us as a systems engineering intern - change the world, love your job! Minimum Requirements: 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 Qualifications: Solid background in machine learning, embedded systems, computer architecture, and/or edge AI, with particular interest in on-device training, reinforcement learning, or resource-constrained learning systems Proven track record of research in on-device learning, federated learning, continual learning, efficient training methods, or tiny ML as demonstrated by first-authored publications at leading ML/systems conferences (e.g., NeurIPS, ICML, MLSys, ICLR, ASPLOS, MobiCom, TinyML) Strong programming skills in Python and C/C++, with experience in embedded software development and optimization for resource-constrained platforms Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and embedded ML deployment (e.g., TensorFlow Lite, TinyML frameworks) Knowledge of training optimization techniques including gradient compression, quantization-aware training, memory-efficient backpropagation, and low-rank adaptation methods Understanding of reinforcement learning fundamentals and experience with lightweight RL algorithms suitable for embedded deployment Familiarity with unsupervised and self-supervised learning techniques that can operate with limited labeled data on edge devices Understanding of neural network pruning, knowledge distillation, model compression techniques, and neural architecture search Experience with microcontroller platforms (e.g., ARM Cortex-M series, RISC-V) and real-time embedded systems programming Knowledge of fixed-point arithmetic, low-precision training methods, and mixed-precision optimization Experience with algorithm-hardware co-design and performance-power trade-off analysis for edge AI systems Familiarity with control systems, feedback loops, signal processing, or sensing applications 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

Change the world. Love your job. In this system engineering intern role, you'll have the chance to: * Develop advanced sensors and test novel design concepts * Design, build, and operate test systems for advanced sensors * Conduct data analysis and theoretical modeling * Interface directly with TI business units to publish conclusions and define follow-on steps * Put your talent to work with us as a Kilby Sensors engineering intern ! Minimum Requirements: * 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 Qualifications: * Matlab and Python expertise * Automated data acquisition build/test experience * Optical testbench experience * Must have hands-on lab experience building test setups to characterize devices * Knowledge of at least one programming language * Strong written and verbal communication skills * Strong analytical problem-solving / troubleshooting skills Minimum Requirements: * 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 Qualifications: * Matlab and Python expertise * Automated data acquisition build/test experience * Optical testbench experience * Must have hands-on lab experience building test setups to characterize devices * Knowledge of at least one programming language * Strong written and verbal communication skills * Strong analytical problem-solving / troubleshooting skills

This Systems Engineering Intern role is within Kilby Labs, the central R&D organization of Texas Instruments (TI). The lab is chartered to develop novel and innovative technologies and strategies for new business opportunities, drive next generation, differentiated technologies for existing businesses and recruit top technical talent for TI. In this Systems Engineering intern role, you will be exploring cutting edge applications of reinforcement learning (RL) in next generation mixed signal and sensing systems. You will apply state of the art RL techniques to solve challenging problems in control, signal processing, and system level efficiency optimization - spanning domains such as power conversion, sensing and signal beamforming. You will develop intelligent control and adaptation strategies that push the limits of performance, efficiency, and robustness beyond traditional approaches. What you will do: Research and implement RL based algorithms for optimizing dynamic, multi-objective systems. Develop simulation and hardware in the loop environments to evaluate and validate RL performance. Benchmark RL results against conventional control and optimization techniques. Collaborate with TI's product and research teams to translate concepts into real silicon and system innovations. Responsibilities System Knowledge: Develop and apply system expertise in a given application area and design solutions using existing TI silicon devices (DSPs, MCUs, MPUs, analog components, etc.) as well as specify and develop new devices Signal Processing: Develop algorithms to calibrate, intelligently operate and analyze sensor data, and provide desired excitation signals/results for a given application. Hardware Design: Define data and control data paths, AFE hardware requirements for sensor and actuation interfaces to digital signal processing units (DSPs, MCUs, MPUs, etc) and work with board designers to develop prototype systems System Simulations: Develop complete system simulations to validate the viability of a given solution, analyze system performance requirements and perform system tradeoff analysis Prototyping: Develop a working prototype together with team members using TI product portfolio: DSP/MCU/MPU device + AFE + sensor to demonstrate solutions Product Development: Work with team members to provide necessary collateral (simulations, software, schematics, test infrastructure, user guides, and performance results) to ensure a smooth transition from prototyping to product development Intellectual Property: Generate relevant patents to protect TI position in the application space Emerging Technologies: Monitor competitive landscape for performance benchmarks relative to competition and find new applications/opportunities using existing TI products or define future products Minimum Requirements Currently pursuing PhD degree in Electrical Engineering, Electrical and Computer Engineering or related field with algorithm and signal processing/data analytics background and mixed signal hardware experience Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: Strong foundation in reinforcement learning, control theory or optimization algorithms. Proven experience with embedded control, hardware in the loop, or real-time experimentation. Proficiency in Python (e.g. PyTorch, stable-baselines), Matlab/Simulink. Creative thinker with hands-on problem solving and data-driven experimentation skills. Experience in resolving differences between simulation and real time prototype results to demonstrate value in proposed solution. Experience in debugging HW/SW and delivering a prototype that meets requirements. On-time delivery of solutions with high quality. Works well with others and can brainstorm potential solutions together

We can't predict what the future holds, but we know Texas Instruments will have a part in shaping it. At TI, Systems engineers focus deeply on understanding the technical needs, and future trends of an industry or end equipment, then create new products and innovative forward-looking product roadmaps to solve them. Systems Engineers are an integral part each phase of new product development at TI. In the early stages of product development, systems engineers interface with key stakeholders (customer decision-makers, application engineers, marketing, management, sales, IC design engineers, technology development) to negotiate specifications, perform trade-offs, understand the competitive landscape, and ultimately develop detailed technical definitions for new products. They then collaborate with the full IC development team (design, applications, test, product engineers) to deliver products to the market which are compelling, competitive, cost-conscious, manufacturable, and importantly, successful in growing TI's business. We are seeking a highly motivated PhD student to join our Embedded AI team in Kilby Labs this summer to work on cutting-edge digital compute in-memory (CIM) research and development for resource-constrained microcontroller applications. As a key member of our team, you will focus on advancing energy-efficient computing architectures that enable intelligent edge processing on cost and power-constrained platforms. Your work will involve exploring innovative approaches to co-optimize algorithms, architectures, and hardware implementations for CIM systems. In this systems engineering intern role, you'll have the chance to: 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 Put your talent to work with us as a systems engineering intern - change the world, love your job! Minimum Requirements: 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 Qualifications: 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

This Systems Engineering Intern role is within Kilby Labs, the central R&D organization of Texas Instruments (TI). The lab is chartered to develop novel and innovative technologies and strategies for new business opportunities, drive next generation, differentiated technologies for existing businesses and recruit top technical talent for TI. In this Systems Engineering intern role, you will be exploring cutting edge applications of reinforcement learning (RL) in next generation mixed signal and sensing systems. You will apply state of the art RL techniques to solve challenging problems in control, signal processing, and system level efficiency optimization - spanning domains such as power conversion, sensing and signal beamforming. You will develop intelligent control and adaptation strategies that push the limits of performance, efficiency, and robustness beyond traditional approaches. What you will do: + Research and implement RL based algorithms for optimizing dynamic, multi-objective systems. + Develop simulation and hardware in the loop environments to evaluate and validate RL performance. + Benchmark RL results against conventional control and optimization techniques. + Collaborate with TI's product and research teams to translate concepts into real silicon and system innovations. **Responsibilities** System Knowledge: Develop and apply system expertise in a given application area and design solutions using existing TI silicon devices (DSPs, MCUs, MPUs, analog components, etc.) as well as specify and develop new devices Signal Processing: Develop algorithms to calibrate, intelligently operate and analyze sensor data, and provide desired excitation signals/results for a given application. Hardware Design: Define data and control data paths, AFE hardware requirements for sensor and actuation interfaces to digital signal processing units (DSPs, MCUs, MPUs, etc) and work with board designers to develop prototype systems System Simulations: Develop complete system simulations to validate the viability of a given solution, analyze system performance requirements and perform system tradeoff analysis Prototyping: Develop a working prototype together with team members using TI product portfolio: DSP/MCU/MPU device + AFE + sensor to demonstrate solutions Product Development: Work with team members to provide necessary collateral (simulations, software, schematics, test infrastructure, user guides, and performance results) to ensure a smooth transition from prototyping to product development Intellectual Property: Generate relevant patents to protect TI position in the application space Emerging Technologies: Monitor competitive landscape for performance benchmarks relative to competition and find new applications/opportunities using existing TI products or define future products **Why TI?** + Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. + We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI (*************************************** UI/CandidateExperience/en/sites/CX/pages/4012) + Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. **About Texas Instruments** Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . 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. If you are interested in this position, please apply to this requisition. **Minimum Requirements** + Currently pursuing PhD degree in Electrical Engineering, Electrical and Computer Engineering or related field with algorithm and signal processing/data analytics background and mixed signal hardware experience + Cumulative 3.0/4.0 GPA or higher **Preferred Qualifications:** + Strong foundation in reinforcement learning, control theory or optimization algorithms. + Proven experience with embedded control, hardware in the loop, or real-time experimentation. + Proficiency in Python (e.g. PyTorch, stable-baselines), Matlab/Simulink. + Creative thinker with hands-on problem solving and data-driven experimentation skills. + Experience in resolving differences between simulation and real time prototype results to demonstrate value in proposed solution. + Experience in debugging HW/SW and delivering a prototype that meets requirements. + On-time delivery of solutions with high quality. + Works well with others and can brainstorm potential solutions together **ECL/GTC Required:** Yes

What you do at AMD changes everything We care deeply about transforming lives with AMD technology to enrich our industry, our communities and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence, while being direct, humble, collaborative and inclusive of diverse perspectives. This is who we are at our best. One Company. One Team. AMD together we advance_ THE ROLE: Come join the team responsible for driving AMD's Shift-Left strategies, planning and execution of our Client Compute Products, which are used by major OEM and compute solution customers in the world. In this role, you get to interact with multiple stakeholders (firmware/BIOS, SW, IP, DV, system architects) to plan, create, execute, and debug system use cases on emulation/FPGA platforms, in addition to advancing pre-silicon infrastructure to expand validation capabilities. THE PERSON: AMD is seeking an emulation system engineer who thrives in an environment that requires creative debugging skills, drive to improve pre-silicon system validation coverage capabilities, and a passion for improving our overall Shift-Left strategies and goals. KEY RESPONSIBILITIES: Responsible for the design and development of test environment components to support the pre-silicon validation of embedded firmware, BIOS code features, SW and directed tests. Responsible for writing directed tests to verify features in a co-simulated and emulated/FPGA hardware environment. Responsible for writing monitors and checkers to support end-to-end firmware/hardware validation. Responsible for writing and developing coverage goals and test plans. Responsible for running emulator workloads to test new features. PREFERRED EXPERIENCE: Experience with FPGA and/or emulation platforms (Veloce, Palladium, ZEBU, HAPs, Protium) Experience developing System Verilog based test content. Experience developing C++, Python, Perl, Ruby, Shell and TCL test content. Experience validating hardware features for at least 3 or more projects in a pre-silicon environment. Experience debugging failures using waveform viewers, log files and microcode trace dumps. Experience debugging software using debuggers and trace files. Knowledge of UEFI, core-boot, Chrome, Windows Operating Systems Knowledge of low power and secure boot features Knowledge of x86 and/or ARM SoC Architecture Knowledge of one or more protocols; SPI, DDR, SATA, USB, AXI, PCI, PCIe, MIPI, WLAN or I2C ACADEMIC CREDENTIALS: One of the following combinations of Degree and Experience. Pursuing Bachelors/Masters in Computer Science, Computer Engineering or Electrical Engineering with experience and/or coursework in hardware validation & debug, writing Software modules to validate hardware, in pre-silicon validation environment Location: Austin, TX Requisition Number: 186721 Country: United States State: Texas City: Austin Job Function: Student/ Intern/ Temp Benefits offered are described here. AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers. We consider candidates regardless of age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status. Please click here for more information.

**Our vision is to transform how the world uses information to enrich life for** **_all_** **.** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. **Department Introduction** Micron's Data Services team builds scalable, reliable infrastructure to power business-critical analytics and operations. We focus on designing robust data models, developing ETL/ELT pipelines, and creating intuitive front-end applications that transform data into actionable insights. **Position Overview** As a Software Engineering Intern, you will contribute to the development of data services and front-end applications. You'll work on RESTful APIs, data pipelines, and user interfaces that support Micron's analytics and operational needs. This role is ideal for candidates passionate about software craftsmanship, data storytelling, and secure, scalable systems. **Responsibilities** + Build reliable, scalable data services and front-end applications. + Design and operate ETL/ELT pipelines and RESTful APIs. + Develop front-end applications using modern frameworks to visualize data. + Collaborate with business analysts and product managers to clarify requirements. + Document designs, write README notes, and follow secure coding practices. **Minimum Qualifications** + Pursuing an M.S. in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or related field; B.S. already completed. + Solid understanding of CS fundamentals including data structures, algorithms, complexity, and basic networking. + Ability to solve straightforward problems with guidance and work independently on assigned tasks. + Familiarity with the software development lifecycle, coding standards, source control, and build pipelines. + Awareness of secure coding hygiene and IP protection expectations. **Preferred Qualifications** + Experience with Python, JavaScript, Node.js, or C# (.NET) in team projects. + Familiarity with Docker, cloud platforms (AWS/Azure/GCP), and observability tools. + Understanding of authentication protocols (OAuth2/OIDC/JWT) and secure coding practices. + For front-end focused candidates: proficiency in TypeScript and React. + Knowledge of web fundamentals (HTML5, CSS3), responsive layouts, accessibility, and performance optimization (e.g., Core Web Vitals). As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your **right to work click here. (************************************************ To learn more about Micron, please visit **micron.com/careers** For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_************* or ************** (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert **:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

**Our vision is to transform how the world uses information to enrich life for** **_all_** **.** Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a software engineering intern in Micron's Storage and Memory Systems (SMS) group within TPG Pathfinding, you will be part of a software engineering team in a pathfinding and strategy organization that is exploring future memory architectures for high-performance compute (HPC) and artificial intelligence (AI) systems. The software engineering team supports broad software development needs that may include software development to enable proof-of-concept system features, application optimization and analysis, system performance benchmarking, development tool support, and open-source software advancement. You will have an opportunity to work on proof-of-concept heterogeneous memory and compute systems that include multiple host servers, GPUs, and memory accelerators. This position is located in Richardson, TX. **Your responsibilities may include, but are not limited to:** + Developing Linux-based applications and libraries in C++, C, Python, Rust, SYCL and/or CUDA + Developing modeling tools or emulators for AI system performance estimation and analysis + Porting, optimizing and analyzing parallel processing, scientific compute and AI applications and libraries for heterogeneous computer systems + Improving software engineering processes and tools + Collaborating with hardware and software engineers to root cause and fix complex integration issues with proof-of-concept system hardware in a lab environment + Working closely with software technical leads and system architects to clarify early-stage requirements **Minimum Qualifications:** + Must be pursuing a Computer Engineering, Software Engineering, Computer Science, or equivalent degree + Bachelor's, Master's or PhD candidates who are currently enrolled in school, and continuing education in the Fall semester of 2026 + C++ and C programming experience + Linux programming experience + Strong understanding of computer system architecture concepts including caching and virtual memory **Preferred Qualifications:** + Strong debug and problem-solving skills + Excellent verbal and written communication skills + Ability to work in a team environment + Experience programming GPUs (CUDA, OpenCL, SYCL, etc.) is highly desired + Familiarity with scaling and parallelization technologies and libraries is desired + Knowledge of AI and Machine Learning models or software is highly desired + Understanding of parallel computing, inter-process communications and host-to-host communications is highly desired As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your **right to work click here. (************************************************ To learn more about Micron, please visit **micron.com/careers** For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_************* or ************** (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert **:** Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a software engineering intern in Micron's Storage and Memory Systems (SMS) group within TPG Pathfinding, you will be part of a software engineering team in a pathfinding and strategy organization that is exploring future memory architectures for high-performance compute (HPC) and artificial intelligence (AI) systems. The software engineering team supports broad software development needs that may include software development to enable proof-of-concept system features, application optimization and analysis, system performance benchmarking, development tool support, and open-source software advancement. You will have an opportunity to work on proof-of-concept heterogeneous memory and compute systems that include multiple host servers, GPUs, and memory accelerators. This position is located in Richardson, TX. Your responsibilities may include, but are not limited to: * Developing Linux-based applications and libraries in C++, C, Python, Rust, SYCL and/or CUDA * Developing modeling tools or emulators for AI system performance estimation and analysis * Porting, optimizing and analyzing parallel processing, scientific compute and AI applications and libraries for heterogeneous computer systems * Improving software engineering processes and tools * Collaborating with hardware and software engineers to root cause and fix complex integration issues with proof-of-concept system hardware in a lab environment * Working closely with software technical leads and system architects to clarify early-stage requirements Minimum Qualifications: * Must be pursuing a Computer Engineering, Software Engineering, Computer Science, or equivalent degree * Bachelor's, Master's or PhD candidates who are currently enrolled in school, and continuing education in the Fall semester of 2026 * C++ and C programming experience * Linux programming experience * Strong understanding of computer system architecture concepts including caching and virtual memory Preferred Qualifications: * Strong debug and problem-solving skills * Excellent verbal and written communication skills * Ability to work in a team environment * Experience programming GPUs (CUDA, OpenCL, SYCL, etc.) is highly desired * Familiarity with scaling and parallelization technologies and libraries is desired * Knowledge of AI and Machine Learning models or software is highly desired * Understanding of parallel computing, inter-process communications and host-to-host communications is highly desired As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits. Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit micron.com/careers For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_************* or ************** (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Department Introduction Micron's Data Services team builds scalable, reliable infrastructure to power business-critical analytics and operations. We focus on designing robust data models, developing ETL/ELT pipelines, and creating intuitive front-end applications that transform data into actionable insights. Position Overview As a Software Engineering Intern, you will contribute to the development of data services and front-end applications. You'll work on RESTful APIs, data pipelines, and user interfaces that support Micron's analytics and operational needs. This role is ideal for candidates passionate about software craftsmanship, data storytelling, and secure, scalable systems. Responsibilities * Build reliable, scalable data services and front-end applications. * Design and operate ETL/ELT pipelines and RESTful APIs. * Develop front-end applications using modern frameworks to visualize data. * Collaborate with business analysts and product managers to clarify requirements. * Document designs, write README notes, and follow secure coding practices. Minimum Qualifications * Pursuing an M.S. in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or related field; B.S. already completed. * Solid understanding of CS fundamentals including data structures, algorithms, complexity, and basic networking. * Ability to solve straightforward problems with guidance and work independently on assigned tasks. * Familiarity with the software development lifecycle, coding standards, source control, and build pipelines. * Awareness of secure coding hygiene and IP protection expectations. Preferred Qualifications * Experience with Python, JavaScript, Node.js, or C# (.NET) in team projects. * Familiarity with Docker, cloud platforms (AWS/Azure/GCP), and observability tools. * Understanding of authentication protocols (OAuth2/OIDC/JWT) and secure coding practices. * For front-end focused candidates: proficiency in TypeScript and React. * Knowledge of web fundamentals (HTML5, CSS3), responsive layouts, accessibility, and performance optimization (e.g., Core Web Vitals). As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits. Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit micron.com/careers For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_************* or ************** (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.