Senior Software Development Engineer (AI Acceleration)

Feb 10, 2024
Hyderabad, India
... Not specified
... Senior
Full time
... Office work


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_




SENIOR SOFTWARE DEVELOPMENT ENGINEER  

 

THE ROLE: 

AMD is looking for an influential software engineer role to enable AI acceleration at scale. You will be a member of the core team, working on developing ML tools and methodologies to optimize and realize full system performance for AI workloads on Ryzen AI SoC. Working on the latest AI models addressing vision, language, and generative models, working with the leading engineers in AMD’s CPU, GPU, and Adaptable Compute team 

 

KEY RESPONSIBILITIES: 

  • Develop AMD's Machine Learning products. 
  • Developing and optimizing code for VLIW processors. 
  • Consistently research and implement methods to improve performance of our solutions.  
  • Stay informed of software and hardware trends and innovations, especially pertaining to ML algorithms and architectures. 
  • Develop technical relationships with peers and partners. 
  • Work with AMD’s architecture specialists to improve future products. 

PREFERRED EXPERIENCE: 

  • Strong object-oriented programming background, C/C++ preferred with 3+ years of industry experience 
  • Ability to write high quality code with a keen attention to detail. 
  • Familiarity with SIMD processor coding. 
  • Familiarity with implementation of key ML operations like GEMM, CONV. 
  • Understanding the performance implications on AI acceleration of different compute, memory, and communication configurations and hardware and software implementation choices.   
  • Knowledge of AI frameworks like PyTorch, TensorFlow, ONNX is an added advantage. 
  • Knowledge of AMD’s AIE coding and process would be an advantage. 
  • Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers. 
  • Effective communication and problem-solving skills 

ACADEMIC CREDENTIALS: 

  • Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

 

#LI-SR4




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.

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.

SENIOR SOFTWARE DEVELOPMENT ENGINEER  

 

THE ROLE: 

AMD is looking for an influential software engineer role to enable AI acceleration at scale. You will be a member of the core team, working on developing ML tools and methodologies to optimize and realize full system performance for AI workloads on Ryzen AI SoC. Working on the latest AI models addressing vision, language, and generative models, working with the leading engineers in AMD’s CPU, GPU, and Adaptable Compute team 

 

KEY RESPONSIBILITIES: 

  • Develop AMD's Machine Learning products. 
  • Developing and optimizing code for VLIW processors. 
  • Consistently research and implement methods to improve performance of our solutions.  
  • Stay informed of software and hardware trends and innovations, especially pertaining to ML algorithms and architectures. 
  • Develop technical relationships with peers and partners. 
  • Work with AMD’s architecture specialists to improve future products. 

PREFERRED EXPERIENCE: 

  • Strong object-oriented programming background, C/C++ preferred with 3+ years of industry experience 
  • Ability to write high quality code with a keen attention to detail. 
  • Familiarity with SIMD processor coding. 
  • Familiarity with implementation of key ML operations like GEMM, CONV. 
  • Understanding the performance implications on AI acceleration of different compute, memory, and communication configurations and hardware and software implementation choices.   
  • Knowledge of AI frameworks like PyTorch, TensorFlow, ONNX is an added advantage. 
  • Knowledge of AMD’s AIE coding and process would be an advantage. 
  • Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers. 
  • Effective communication and problem-solving skills 

ACADEMIC CREDENTIALS: 

  • Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

 

#LI-SR4

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