DTCO Systems Analysis Engineer - Memory

Job Details: Job Description: We are seeking a Design Technology Co-Optimization (DTCO) Systems Analysis Engineer specializing in memory subsystems to join our team. This role focuses on optimizing memory architectures within ARM and other CPU/GPU core subsystems, working across software, firmware, board, and silicon/SoC components to deliver high-performance, cost-effective solutions that address critical memory bottlenecks.  Key Responsibilities   Memory Subsystem Architecture & Optimization   Analyze ARM and other CPU/GPU core subsystems to identify performance-critical memory components and bottlenecks  Work with memory providers to specify and validate memory instances that maximize power, performance, and area (PPA) optimization  Research system-level innovations to reduce memory bottlenecks, incorporating latest memory technology innovations  Lead memory subsystem architecture decisions and performance optimization strategies    Systems Architecture & Product Definition  Define comprehensive systems architecture including hardware and software integration across memory subsystems  Translate business opportunities into technical use cases and develop product specifications for required components  Lead design, analysis, and implementation of component-level choices focusing on performance, features, and cost optimization  Conduct technical risk assessments with emphasis on reliability, security, availability, maintainability, and sustainability    Integration & Implementation Leadership  Define systems implementation and integration solutions to ensure optimum performance and reliability across hardware and software  Deliver end-to-end technical solutions to solve customer problems, including solution deployment and benchmark testing  Prepare comprehensive technical documentation and performance analysis reports  Lead proof-of-concept development and feasibility studies for innovative memory solutions    Research & Innovation  Collaborate with cross-functional teams to analyze next-generation requirements and identify new opportunities  Guide research and academic collaboration on advanced systems and solutions beyond current industry approaches  Conduct lab experiments for proof-of-concept innovations and new feature feasibility studies  Simulate real-world environments and analyze prototype performance in laboratory settings  Qualifications: The Minimum qualifications are required to be considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.  Minimum Qualifications  Master's degree in Electrical Engineering, Computer Engineering, Computer Science or in a STEM-related field of study. 4+ years of experience in memory subsystem optimization for ARM or RISC-V SoCs Direct system simulation experience in memory subsystem optimization Experience with Python or other machine learning-capable coding environments and methodologies  Preferred Qualifications   Ph.D. in Electrical Engineering, Computer Engineering, Computer Science or in a STEM-related field of study.  Experience with EDA flows for Digital Implementation or Digital Frontend Validation  Advanced research background in computer architecture or memory systems  Experience with advanced memory technologies and emerging memory solutions  Experience with AI/ML workload memory requirements and optimization techniques  Experience with security and reliability considerations in memory subsystem design  Experience with multi-core and heterogeneous computing architectures  Experience with power management and thermal considerations in memory design  Experience with industry standards and emerging memory interface protocols  Experience with performance modeling and validation methodologies  What We Offer  Opportunity to work on cutting-edge memory subsystem technologies  Collaboration with world-class architects and memory technology experts  Access to advanced simulation tools and laboratory facilities  Direct impact on next-generation computing platforms and performance optimization             Job Type: Experienced Hire Shift: Shift 1 (United States of America) Primary Location: US, Texas, Austin Additional Locations: Business group: Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.     Annual Salary Range for jobs which could be performed in the US: $122,440.00-232,190.00 USD     The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.     Work Model for this Role This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change. * ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.