AI/ML Systems Design Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE:  Are you passionate about driving efficiency through AI and turning innovative ideas into real-world solutions? We are seeking a Systems Design Engineer with a focus on AI and software development. We're looking for someone who thrives in a hands-on, practical environment. Our team operates with a startup mindset, dedicated to solving real problems and delivering high ROI for a suite of dynamic products that leverage cutting-edge AI technology. THE PERSON: The ideal candidate is a hands-on systems design engineer who enjoys building real, production-ready AI solutions and thrives in a fast-moving, startup-like environment. This person is a strong software engineer at heart—comfortable with Python and modern AI/ML tooling—who knows how to take ideas from concept through deployment and deliver measurable impact. They are a structured, methodical problem solver who can break down complex challenges, document their thinking clearly, and communicate effectively with both technical and non-technical partners. They work well across disciplines, collaborating easily with data scientists, engineers, product managers, and hardware-focused teams, and they are comfortable operating at the intersection of software, AI, and systems. KEY RESPONSIBILITIES:  Software Development & Productization: Collaborate in the full software development lifecycle, from ideation to product deployment. Our focus is on creating robust, scalable AI solutions that enhance efficiency across AMD with a focus on CGC (Client, Graphics, and S3) Collaboration & Teamwork: Work closely with different teams, including data scientists, various engineers, and product managers to translate business unit and engineering needs into technical solutions. Problem Solving & Communication: Methodically deconstruct complex problems, documenting each step of the development process. Your ability to create clear, concise documentation, presentations, and communicate technical topics will be important in this role. Innovation & Agility: Embrace a startup-like approach as you develop and deploy new products. You'll be encouraged to innovate and experiment, with the flexibility to adapt quickly to new challenges and opportunities.   PREFERRED EXPERIENCE:  Proven experience in software development, particularly in productizing AI solutions. Proficiency in Python and commonly-used libraries in the ecosystem Experience in developing and deploying machine learning models at scale. Ability to work collaboratively in a team-oriented environment, with excellent communication skills. Strong problem-solving skills and a methodical approach to documentation. A passion for innovation and a drive to continuously improve product efficiency through AI. Experience with common lab equipment, including protocol/logic analyzers, oscilloscopes, etc. a plus as we deal with many hands-on hardware teams. ACADEMIC CREDENTIALS:  At least Bachelors degree in electrical or computer engineering, computer science, math, or any technical degree This role is not eligible for Visa Sponsorship. #LI-CB1 Benefits offered are described: AMD benefits at a glance. 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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Benefits offered are described: AMD benefits at a glance. 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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

THE ROLE:  Are you passionate about driving efficiency through AI and turning innovative ideas into real-world solutions? We are seeking a Systems Design Engineer with a focus on AI and software development. We're looking for someone who thrives in a hands-on, practical environment. Our team operates with a startup mindset, dedicated to solving real problems and delivering high ROI for a suite of dynamic products that leverage cutting-edge AI technology. THE PERSON: The ideal candidate is a hands-on systems design engineer who enjoys building real, production-ready AI solutions and thrives in a fast-moving, startup-like environment. This person is a strong software engineer at heart—comfortable with Python and modern AI/ML tooling—who knows how to take ideas from concept through deployment and deliver measurable impact. They are a structured, methodical problem solver who can break down complex challenges, document their thinking clearly, and communicate effectively with both technical and non-technical partners. They work well across disciplines, collaborating easily with data scientists, engineers, product managers, and hardware-focused teams, and they are comfortable operating at the intersection of software, AI, and systems. KEY RESPONSIBILITIES:  Software Development & Productization: Collaborate in the full software development lifecycle, from ideation to product deployment. Our focus is on creating robust, scalable AI solutions that enhance efficiency across AMD with a focus on CGC (Client, Graphics, and S3) Collaboration & Teamwork: Work closely with different teams, including data scientists, various engineers, and product managers to translate business unit and engineering needs into technical solutions. Problem Solving & Communication: Methodically deconstruct complex problems, documenting each step of the development process. Your ability to create clear, concise documentation, presentations, and communicate technical topics will be important in this role. Innovation & Agility: Embrace a startup-like approach as you develop and deploy new products. You'll be encouraged to innovate and experiment, with the flexibility to adapt quickly to new challenges and opportunities.   PREFERRED EXPERIENCE:  Proven experience in software development, particularly in productizing AI solutions. Proficiency in Python and commonly-used libraries in the ecosystem Experience in developing and deploying machine learning models at scale. Ability to work collaboratively in a team-oriented environment, with excellent communication skills. Strong problem-solving skills and a methodical approach to documentation. A passion for innovation and a drive to continuously improve product efficiency through AI. Experience with common lab equipment, including protocol/logic analyzers, oscilloscopes, etc. a plus as we deal with many hands-on hardware teams. ACADEMIC CREDENTIALS:  At least Bachelors degree in electrical or computer engineering, computer science, math, or any technical degree This role is not eligible for Visa Sponsorship. #LI-CB1