Sr. Software Systems Engineer - AI Special Projects

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: 

We are looking for an adaptive, self-motivated expert systems engineer to join our growing AI Special Projects team. As a technical leader, you’ll collaborate across internal teams, leveraging your expertise to explore opportunities to improve new and existing products. As part of this role, you will be responsible for performance analysis, benchmarking, and profiling AI applications within the EPYC CPU and Instinct GPU ecosystem.

THE PERSON:

You're a collaborative engineer with a strong background in accelerated computing, problem solving and exceptional communication skills. You bring a strong desire to quickly learn new technologies and provide recommendations to improve products and features. You are comfortable sharing your knowledge with a variety of stakeholders & ultimately conveying the value of AMD's technology.

KEY RESPONSIBILITIES: 

• Technical lead for the AI/ML segment, focusing on AI frameworks, models for CPU- and GPU-based platforms
• Perform software development and profiling guided software optimization & tuning for various AI/ML software stacks
• Provide guidance to performance and test engineers on methodologies & runtime configurations for AMD EPYC, Instinct and competitive server platforms
• Analyze performance data, provide feedback and interact with partners, ISVs and customers to showcase the performance & overall value-proposition of AMD EPYC and Instinct based systems
• Work closely with other team members to understand design architecture and to propose solutions to improve and enhance products  

PREFERRED EXPERIENCE: 

• Academic achievement through PhD in Computer Science, Computer Engineering, AI/ML or Computational Science
• Strong knowledge of AI frameworks (i.e. PyTorch), LLMs and classical ML algorithms 
• Experience with C , HIP or CUDA and OpenCL
• CPU/GPU software optimization, profiling, and tuning 
• Experience with leading HPC leadership clusters
• Ability to work independently in a fast paced, deadline driven environment; effective communication skills and teamwork

ACADEMIC CREDENTIALS: 

• PhD in Electrical Engineering, Computer Engineering, Computer Science, Computational Science, or a closely related field 

#LI-MM2

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.