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AMD
Data Engineer for AI
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:  

In the rapidly expanding world of AI and HPC, enabling solid system level integration and validation via automation becomes paramount. Our DCGPU solutions, including APUs and GPUs, demand rigorous testing for optimum performance and reliability.

 

We are seeking a Data Engineer to help enable our data infrastructure and analytics. The Systems Design Engineering team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.  

 

THE PERSON:  

You will be part of a team to drive and improve AMD’s abilities to deliver the highest quality, industry-leading technologies to market. Your Data Engineering expertise will enable our engineering teams to advance the state of HPC and AI at an accelerated pace.

  

KEY RESPONSIBILITIES:  

  • Enable more effective collecting, storing, analysis and reporting on data within the org
  • Enable key data technologies for internal automation infrastructures
  • Collaborate with infrastructure developers, analysts and data architects to enable data driven decision making to achieve faster time to market and high quality AI/HPC products

PREFERRED EXPERIENCE:  

  • Proven work experience as a Data Engineer, Data Scientist, Data Analyst, or similar role
  • In-depth expertise of databases and other data solutions including data lakes and warehouses
  • Experience in data analytics and report generation
  • Understanding of ML/AI concepts and solutions is an asset
  • Python and other object-oriented based solutions in a team environment
  • Experience with other languages, web development, REST and databases is an asset
  • Power user of Linux, Docker, Kubernetes, containers, etc.
  • Experienced with creating modular and maintainable code adhering to best practices
  • Software and hardware test + debug experience
  • Experience in cross OS development in Linux and windows environment preferred
  • Familiar with source controls systems like GitHub, Perforce and SVN

ACADEMIC CREDENTIALS:  

Bachelors or Masters Degree in Computer Engineering, Electrical Engineering, or Computer Science

 

LOCATION:

Austin, TX

 

#LI-SL2




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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