10 Memory Systems Jobs

Role Overview: As a Hardware Engineering Intern at Google, you will be part of a team shaping the future of Google Cloud Silicon, including TPUs, Arm-based servers, and network products. You will collaborate with hardware and software architects and designers to architect, model, analyze, define, and design next-generation Cloud Silicon. Your responsibilities will be dynamic and multi-faceted, focusing on product definition, design, and implementation. You will work closely with Engineering teams to achieve the optimal balance between performance, power, features, schedule, and cost. Key Responsibilities: - Work with hardware and software architects and designers to architect, model, analyze, define, and design next-generation Cloud Silicon - Collaborate with Engineering teams to drive the optimal balance between performance, power, features, schedule, and cost - Have responsibilities in areas such as product definition, design, and implementation - Contribute to shaping the future of Google Cloud Silicon, including TPUs, Arm-based servers, and network products Qualifications Required: - Currently pursuing a PhD degree in Computer Engineering, Computer Science, Electronics and Communication Engineering, Electrical Engineering, or a related technical field - Experience in Hardware System Integration, Signal and Power Integrity, System Validation, Wireless Communications, Product Design, Computer Architecture, Digital Design Verification, Digital Circuits, ASIC Physical Design, FPGAs, Embedded Systems, Memory Systems - Experience in programming languages such as C++, Python, Verilog, UVM, Synopsys, and Cadence tools - Experience with wireless communication interfaces and sensors - Experience with performance modeling tools, C++, Python, Silicon design tools in Front End/Design Verification/Physical Design - Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies, computer architecture, linear algebra, ML/DL background - Knowledge of high performance and low power design techniques - Currently attending a degree program in India and available to work full time for 12 weeks outside of university term time Additional details of the company: Google is an engineering company that prioritizes security, efficiency, and reliability. The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services. Their end users are Googlers, Cloud customers, and people who use Google services around the world. The company focuses on developing the latest Cloud Si products and running a global network while driving towards shaping the future of hyperscale computing. Google engineers work on various technical challenges to make an impact on millions of users and revolutionize technology. (Note: The section "Additional details of the company" has been included based on the information provided in the job description),

As an AI Agent Engineer, your role involves designing, building, and deploying intelligent agents to automate complex workflows. Your focus will be on developing and implementing agent orchestration strategies for seamless multi-agent interactions, managing agent state and memory systems, integrating tool/function calling, and writing efficient code using Python asyncio. Key Responsibilities: - Design, build, and deploy intelligent agents to automate complex workflows. - Develop and implement agent orchestration strategies for seamless multi-agent interactions. - Manage agent state and memory systems for persistent, long-running processes. - Integrate and utilize tool/function calling to extend agent capabilities and connect them to external systems. - Write efficient, high-performance, and concurrent code using Python asyncio. Qualifications Required: - Expertise in LangGraph for building robust agentic systems. - Proven experience with AutoGPT frameworks. - Strong proficiency in tool/function calling for agent-environment interaction. - Comprehensive knowledge of various memory systems and their applications in AI agents. - Deep familiarity with Python asyncio. This role also values the following skills: - Experience with decision trees and other classical AI algorithms. - Domain knowledge in the manufacturing sector.,

The vision of Micron Technology is to transform how the world uses information to enrich life for all. Micron is a global 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 part of the responsibilities in this role, you will work closely with multiple subject areas and teams. It is essential to have a strong background in solid-state physics, semiconductor processing, and characterization. A deep understanding of device operation in memory systems, including NAND, DRAM, PCM, storage class, and cross-point memories, is required. Your passion to succeed and ability to independently learn innovative memory systems will be crucial. Additionally, being highly motivated with strong data analytical skills and experience in automating data analysis methods is important. You should be self-motivated and hardworking to find creative solutions to challenges. Excellent communication and interpersonal skills, both verbal and written, are also necessary. Experience in the operation and automation of semiconductor instrumentation is key, including but not limited to parameter analyzers, SPA, SMU, LCR meters, network analyzers, oscilloscopes, pulse & waveform generators, wafer probers, ATE, and bench systems. Knowledge of a variety of software tools and operating systems is required, including but not limited to Python, C/C++, Unix/Linux, and PJMP/JSL. Minimum Qualifications: - MS or PhD in Electrical/Electronics Engineering. Micron Technology, Inc. is an industry leader in innovative memory and storage solutions, transforming how the world uses information to enrich life for all. With a relentless focus on customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through its Micron and Crucial brands. The innovations created by Micron's people fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers For assistance with the application process and/or reasonable accommodations, please contact hrsupport_india@micron.com. Micron prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.,

Your role at Micron Technology involves working closely with multiple subject areas and teams, showcasing a strong background in solid-state physics, semiconductor processing, and characterization. You will be expected to have a deep understanding of device operation in memory systems such as NAND, DRAM, PCM, storage class, and cross-point memories. Your passion for success and ability to independently learn about innovative memory systems will be key to your success in this role. Additionally, being highly motivated with strong data analytical skills and experience in automating data analysis methods is essential. You should be self-motivated and hardworking, demonstrating the ability to find creative solutions to challenges, along with excellent communication and interpersonal skills, both verbal and written. Your responsibilities will also include operating and automating semiconductor instrumentation like parameter analyzers, SPA, SMU, LCR meters, network analyzers, oscilloscopes, pulse & waveform generators, wafer probers, ATE, and bench systems. Proficiency in various software tools and operating systems such as Python, C/C++, Unix/Linux, and PJMP/JSL will be required. Qualifications for this role include an MS or PhD in Electrical/Electronics Engineering. Micron Technology, Inc. is a leading industry player in innovative memory and storage solutions, focusing on transforming how information enriches life for all. With a customer-centric approach, technological leadership, and operational excellence, Micron offers high-performance DRAM, NAND, and NOR memory and storage products through its Micron and Crucial brands. The daily innovations from Micron's workforce drive the data economy, facilitating advancements in artificial intelligence and 5G applications across various platforms. For more information, visit micron.com/careers. For assistance with the application process or for reasonable accommodations, please contact hrsupport_india@micron.com. Micron strictly prohibits the use of child labor and complies with all relevant laws, rules, regulations, and international labor standards.,

As an AI Agent Developer (Python) experienced in CrewAI and LangChain, you will have the opportunity to join a dynamic AI product engineering team. You will play a crucial role in designing, building, and deploying intelligent agents that address complex challenges at scale by leveraging various cutting-edge technologies. Your responsibilities will include developing modular, asynchronous Python applications using clean code principles. You will build and orchestrate intelligent agents using CrewAI, define agents, tasks, memory, and crew dynamics, and develop custom chains and tools using LangChain. Implementation of prompt engineering techniques such as ReAct, Few-Shot, and Chain-of-Thought reasoning will be essential. Integrating with APIs from OpenAI, Anthropic, HuggingFace, or Mistral for advanced LLM capabilities and utilizing semantic search and vector stores to build RAG pipelines will also be part of your core responsibilities. Additionally, you will extend tool capabilities, implement memory systems, and leverage DSA and algorithmic skills to structure efficient reasoning and execution logic. Deployment of containerized applications using Docker, Git, and modern Python packaging tools will also be a part of your role. The required skills for this position include proficiency in Python 3.x (Async, OOP, Type Hinting, Modular Design), hands-on experience with CrewAI (Agent, Task, Crew, Memory, Orchestration), familiarity with LangChain (LLMChain, Tools, AgentExecutor, Memory), expertise in Prompt Engineering (Few-Shot, ReAct, Dynamic Templates), knowledge of LLMs & APIs (OpenAI, HuggingFace, Anthropic), experience with Vector Stores (FAISS, Chroma, Pinecone, Weaviate), and understanding of Retrieval-Augmented Generation (RAG) Pipelines. Furthermore, skills in Memory Systems, Asynchronous Programming, DSA/Algorithms are essential for this role. Bonus skills that would be advantageous include experience with Machine Learning libraries (Scikit-learn, XGBoost, TensorFlow basics), familiarity with NLP concepts (Embeddings, Tokenization, Similarity scoring), and DevOps knowledge (Docker, GitHub Actions, Pipenv/Poetry). Joining this team offers you the opportunity to work on cutting-edge LLM agent architecture with real-world impact, be part of a fast-paced, experiment-driven AI team, collaborate with passionate developers and AI researchers, and have a significant influence on core product design.,

Role Overview: As a Distributed Systems Engineer, you will design and build the core execution primitives that power our cutting-edge agents. You will architect the underlying context monorepo, develop robust telemetry pipelines, and write high-performance runtimes in Rust, Go, or C++ to ensure deterministic execution at scale. Key Responsibilities: Build execution primitives including schedulers, telemetry pipelines, and durable execution sandboxes. Architect the context monorepothe memory and state bus that underpins agent performance. Develop runtimes capable of persisting and replaying millions of agent runs deterministically. Ensure high concurrency, efficient scheduling, and orchestration at scale with exceptional observability. Push the limits of distributed systems design, compilers, and infrastructure to power agents reliably. Skills : Deep expertise in building runtimes, storage engines, distributed execution engines, or compilers. A passion for declarative primitives, composability, and systems programming. Proven ability to design context management and memory systems that scale to frontier workloads. A preference for solving infrastructure challenges at the kernel/runtime level over application-level coding. Qualifications: Demonstrated experience working on distributed infrastructure, compilers, or runtime systems. A track record of designing and shipping primitives such as schedulers, memory systems, or query engines that require determinism and high performance. What we Offer Competitive compensation and benefits package Professional growth and career development opportunities A collaborative and innovative work environment Show more Show less

About the Role We are hiring an AI Agent Engineer to work on building and orchestrating intelligent agents. You will focus on workflow automation, tool/function calling, and state management for real-world applications. Manufacturing domain knowledge is a plus. Core Skills Agent orchestration Workflow automation State management Manufacturing domain knowledge (plus) Technical Requirements Expertise in LangGraph Experience with AutoGPT frameworks Proficiency in tool/function calling Knowledge of memory systems Strong in Python asyncio Familiarity with decision trees Show more Show less

As a Junior Lab Assistant at the Artificial Intelligence Lab in the Department of Computer Science at Ashoka University, you will be responsible for maintaining and supporting the AI/ML lab equipment, software, and hardware to ensure smooth operations. This includes installation, configuration, updating, and troubleshooting technical issues related to lab systems and software. You will also be assisting students and researchers in setting up AI/ML experiments, guiding them in using lab resources such as GPUs, cloud platforms, and datasets. Additionally, you will schedule resources, provide logistics support, assist faculty in AI-related research projects, and help with data preprocessing, model training, and testing. Your administrative duties will include maintaining lab inventory, scheduling, managing the webpage, and assisting in organizing AI workshops, hackathons, and training sessions. You will be expected to have a diploma or undergraduate degree in Computer Science, IT, Electronics, or a related field. Work experience is preferred but not required. The ideal candidate will have proficiency in Linux, including command-line operations, file systems, and basic scripting, as well as familiarity with Windows for lab management. Essential programming skills required include Python and basic knowledge of C/C++. Familiarity with CPU architectures, memory systems, and microcontroller platforms is essential. Knowledge of IoT frameworks and wireless protocols such as Wi-Fi, Bluetooth, and LoRa would be advantageous. The work hours for this position will be split to ensure that the lab is operational later in the day and over the weekends when students can best access it. Join us at Ashoka University to contribute meaningfully to both the theoretical and societal dimensions of the field of Computer Science.,

As a Software Engineer & Instructor specializing in Computer Architecture at Newton School of Technology located in Sonipat, you will play a pivotal role in redefining how engineers are trained by bridging the gap between academia and the real world. With a focus on industry-aligned, project-based curriculum development, you will have a unique opportunity to kickstart your academic career while creating a meaningful impact. Your responsibilities will include delivering project-based, hands-on sessions in Computer Architecture covering various aspects such as ISA design, processor fundamentals, memory systems, pipelining, and performance optimization. Additionally, you will collaborate on updating and evolving the curriculum to ensure its industry relevance, provide mentorship to students working on architecture-focused capstone projects, offer career guidance in system-level software, embedded systems, and hardware optimization, and work closely with experienced faculty and industry professionals to enhance the learning experience. To excel in this role, you should hold a Bachelors or Masters degree in Computer Engineering, Computer Science, Electrical Engineering, or related fields, along with 13 years of practical experience in system-level software, embedded development, or performance-critical programming. A strong understanding of C/C++, assembly programming fundamentals, memory systems, pipelining, ISA concepts, and OS-hardware interactions is essential. Basic knowledge of architecture simulators or profiling tools is also required. While exposure to Verilog/VHDL or hardware-level programming, interest or experience in compiler design, firmware, or GPU computing, and knowledge of Linux internals or kernel-level programming are considered advantageous, what truly sets the ideal candidate apart is a passion for teaching and mentoring, clear communication skills, a collaborative mindset, and enthusiasm for working in a dynamic academic environment. In return, you will receive competitive compensation, access to state-of-the-art labs and tools, and the opportunity to contribute to pioneering, practice-led tech education within a supportive, impact-driven academic culture. Join us at Newton School of Technology to embark on your academic journey and help shape the engineers of tomorrow.,

As a Software Engineer & Instructor in Computer Architecture at Newton School of Technology, you will be based in Sonipat at Rishihood University. With 13 years of experience, you will play a crucial role in the mission to redefine engineer training by bridging the gap between academia and the real world. Your responsibilities will include teaching core concepts in Computer Architecture such as ISA design, processor fundamentals, memory systems, pipelining, and performance optimization through project-based, hands-on sessions. You will also contribute to updating the industry-aligned curriculum, mentor students in architecture-focused projects, provide career guidance in system-level software and hardware optimization, and collaborate with experienced faculty and industry professionals to deliver impactful learning experiences. To excel in this role, you should hold a Bachelors or Masters degree in Computer Engineering, Computer Science, Electrical Engineering, or related fields. Your solid practical experience in system-level software, embedded development, or performance-critical programming along with a strong understanding of C/C++, assembly programming, memory systems, pipelining, ISA concepts, and OS-hardware interactions will be valuable assets. Basic knowledge of architecture simulators or profiling tools is essential. Exposure to Verilog/VHDL, interest in compiler design, firmware, GPU computing, Linux internals, or kernel-level programming will be advantageous. The ideal candidate will have a passion for teaching, clear communication skills, a collaborative mindset, and enthusiasm for working in a dynamic academic environment. In return, you will receive competitive compensation, access to state-of-the-art labs and tools, the opportunity to contribute to practice-led tech education, and be part of a supportive, impact-driven academic culture. Join us at Newton School of Technology and embark on a journey to shape the engineers of tomorrow.,