AI Architect at AMD

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AMD
AI Architect
Austin, Texas

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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. AMD together we advance_ THE ROLE: The focus of this role in the Embedded Processors Group is to envision roadmap and lead team in conceptualizing use-case / models for embedded markets (Automotive, Industrial, Networking and Storage), prototyping with partners to optimize the AMD AI stack and deploying same or similar working with customers in a production environment. You would also own the AMD Embedded AI roadmap and will be the project tech lead in which all other AI engineers and partners will go-to. THE PERSON: You have a passion for innovation and developing product solutions for bleeding edge AI/ML platform enablement. Must be a team player who has excellent communication skills and experience collaborating in a corporate environment with other architects & engineers located in different sites/time-zones. Should have strong analytical capabilities, employ common sense and bring exceptional problem-solving skills with an open-minded approach and willing to learn and take on challenges as they arise. KEY RESPONSIBILITIES: Collaborating with Product Teams to understand new product requirements including HPC and AI/ML Products and ensuring the platform supports a wide range of AI applications. Collaborating closely with broader GenAI teams and our internal (COE) AI engineers to understand their needs and ensuring the platform supports a wide range of AI applications Monitoring platform performance, implementing enhancements, and ensuring platform scalability and stability. Establishing a Security Protocol for GenAI applications developing and implementing robust security measures to protect the GenAI Platform. This includes vulnerability assessments, regular security audits, and ensuring compliance with industry-standard security protocols. Finding optimal solutions to deploy GenAI products in embedded environments like automotive, industrial, networking & storage verticals using sophisticated design techniques, services, and tools. Collaborating with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, embedded teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments. Integrating and Optimizing OTA Deployment methods and managing SW stack deployments, including provisioning these services into the cloud. Optimizing AI/ML pipelines and workload in a production environment on GenAI platform Diagnosing, root-causing and creating requirements for MLOps improvements depending on customer and product requirements. Building a strong Platform Enablement team: Hiring experienced professionals with right expertise defining clear roles and responsibilities, establishing communication protocols, and providing ongoing training and support to ensure team members are equipped to handle complex challenges. Developing a roadmap for GenAI Platform enablement: Conducting a thorough analysis of current and future needs, identifying gaps, and prioritizing initiatives to deliver value quickly Working closely with business stakeholders to understand their requirements and ensure that the platform meets their needs. Developing a comprehensive training program: Developing a comprehensive training program for users of the GenAI Platform. This program should cover the basics of Cloud, Kubernetes, containers, MLOps, and SRE as well as best practices for using the platform. PREFERRED EXPERIENCE: Demonstrated ability to architect and design complex technical solutions tailored to client requirements. Extensive background and technical expertise with embedded systems, orchestration & automation systems, data centers and cloud architecture including containerization, as well as excellent communication and planning skills Understanding of embedded designs including automotive, industrial, compute, storage, and networking Hands-on Linux and Scripting skills Knowledge of OS Kernels and system engineering Understanding of standard software engineering principles and enterprise system architecture with an automate and Scale approach. Experienced with automation as well as experience with productivity tools and process automation is a big plus. A track record of quickly understanding new technologies outside of your domain expertise and deploying systems in sophisticated configurations from hardware through multiple layers of software in a fast-paced environment Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design Experience in large scale QA environments, for product bring-ups. ACADEMIC CREDENTIALS: BS in Computer Science, Computer Engineering or related field LOCATION: Austin, TX #LI-KW1 #LI-HYBRID At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to 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, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

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