Staff AI Research 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

We are hiring a highly technical and creative AI Research Engineer to join our AI team. You will research, prototype, and implement advanced AI techniques, contribute to internal innovation, and help share practical AI learnings for developers building on high-performance AMD hardware.

 

THE PERSON

You are comfortable turning cutting-edge research into practical outcomes. You can explain complex AI ideas clearly and build prototypes that demonstrate real-world impact. You stay current with fast-moving developments in generative AI and enjoy collaborating across teams. You are motivated by problems with substantial headroom for improvement, where thoughtful engineering and research can deliver outsized impact.

 

KEY RESPONSIBILITIES

• Research, prototype, and implement modern AI methods (for example: reasoning post-training, reinforcement learning approaches, and new generative model techniques).
• Translate advanced AI concepts into clear technical content and demos for broad developer audiences.
• Contribute to internal knowledge sharing around model training, inference, and optimization
• Build and improve practical workflows for deploying and showcasing AI capabilities on AMD platforms.
• Drive code optimization, debugging, and root-cause analysis across research prototypes and production-oriented AI workflows

 

PREFERRED EXPERIENCE

• Experience working in cross-functional teams in fast-paced technical environments.
• Publications at top-tier venues (for example: NeurIPS, ICLR, ICML, CVPR, ECCV, ICCV, COLM, or similar).
• Contributions to open-source projects or internal/external engineering blogs.
• Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX, plus effective use of GenAI tools to accelerate coding, prototyping, demos, and implementation.
• Demonstrated experience training and scaling LLMs and transformer-based models, including challenging training tasks, distributed/parallel training, and performance tuning across large workloads.
• Proven ability to simplify and communicate complex technical ideas through presentations, demos, and written content

 

ACADEMIC CREDENTIALS

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• Master's degree preferred; PhD is a strong plus, especially with publications in distributed systems, AI infrastructure, or GPU computing.

 

#LI-AG2 

#LI-HYBRID

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

We are hiring a highly technical and creative AI Research Engineer to join our AI team. You will research, prototype, and implement advanced AI techniques, contribute to internal innovation, and help share practical AI learnings for developers building on high-performance AMD hardware.

 

THE PERSON

You are comfortable turning cutting-edge research into practical outcomes. You can explain complex AI ideas clearly and build prototypes that demonstrate real-world impact. You stay current with fast-moving developments in generative AI and enjoy collaborating across teams. You are motivated by problems with substantial headroom for improvement, where thoughtful engineering and research can deliver outsized impact.

 

KEY RESPONSIBILITIES

• Research, prototype, and implement modern AI methods (for example: reasoning post-training, reinforcement learning approaches, and new generative model techniques).
• Translate advanced AI concepts into clear technical content and demos for broad developer audiences.
• Contribute to internal knowledge sharing around model training, inference, and optimization
• Build and improve practical workflows for deploying and showcasing AI capabilities on AMD platforms.
• Drive code optimization, debugging, and root-cause analysis across research prototypes and production-oriented AI workflows

 

PREFERRED EXPERIENCE

• Experience working in cross-functional teams in fast-paced technical environments.
• Publications at top-tier venues (for example: NeurIPS, ICLR, ICML, CVPR, ECCV, ICCV, COLM, or similar).
• Contributions to open-source projects or internal/external engineering blogs.
• Strong proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX, plus effective use of GenAI tools to accelerate coding, prototyping, demos, and implementation.
• Demonstrated experience training and scaling LLMs and transformer-based models, including challenging training tasks, distributed/parallel training, and performance tuning across large workloads.
• Proven ability to simplify and communicate complex technical ideas through presentations, demos, and written content

 

ACADEMIC CREDENTIALS

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• Master's degree preferred; PhD is a strong plus, especially with publications in distributed systems, AI infrastructure, or GPU computing.

 

#LI-AG2 

#LI-HYBRID

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.