Year Round 2025 - Customer Advisory Sizing Intern

 

 

Nice to meet you!  

We’re the leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers.    

  

We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you’re looking for a dynamic, fulfilling internship coupled with flexibility and world-class employee experience, you’ll find it here.   

   

What you’ll do 

Looking for *that* internship? The game-changing one that’ll help you learn, grow, and chart your path forward? You’ll find it at SAS. Our interns aren’t coffee runners – they do real, meaningful work. Our award-winning internship program is focused on development, culture, and community. We’ll help you grow professionally, find (or further) your passion, and make memorable connections that last beyond the summer.  

 

The Global Performance and Sizing team is responsible for evaluating the performance of SAS products translating into customer facing deliverables and service levels. The performance aspect of the team is tasked with evaluating performance by designing and executing automated test suites at customer scale for a given SAS product. Outputs include performance briefs, 2-to-3-page papers summarizing performance and system metrics and best practices for optimizing performance of SAS products.   

 

Downstream of performance is hardware sizings.  To deploy SAS products, SAS customers and 3rd party integrators need to know the computing capacity required to efficiently/performantly run SAS products be it on-premise or in-cloud environments. Performance ‘benchmarks’ provide quantitative data points (to sizing) which are used in the design of sizing algorithms and sizing guidelines.  

 

Customer ‘sizing’ requests are workload specific queries from customers (via presales teams) seeking SAS guidance on hardware capacity planning.  Sizings are unique to each customer/product/solution and based on workload dynamics including input data sizes, user concurrency, processing requirements etc. Each sizing request (over 3000 in 2024) gets evaluated by sizing team for which a custom hardware sizing (e.g., nodes, cores, memory, storage, etc.) is created and shared with presales teams to review and interpret with SAS customers.  

 

The Global Performance and Sizing team is a hardware/performance centric team… if you love computing at its core, this is the team for you!  

  

As an intern, you might:  

• Shadow performance and sizing engineers to learn the principles, concepts, tools, technology and inputs required to service SAS customer sizing requests 
• Monitor sizing queue, handoff requests where appropriate and/or own individual sizing requests 
• Participate in the design or refresh of existing tooling, documentation and/or guidelines 
• Recommend, develop and implement automated tooling to optimize workflows  

Required Qualifications  

• Degree Type: Bachelor’s 
• Targeted majors: Compute Science and related fields
• Desire to learn and apply computing concepts and technologies for servicing SAS customers via hardware sizing requests 
• Desire to learn the computing requirements and sizing concepts for SAS products and solutions  
• You’re a college student enrolled in an accredited program, not graduating prior to December 2025.  
• You’re curious, passionate, authentic, and accountable. These are our values and influence everything we do.  
• Strong communication skills – both written and verbal.  
• Leadership abilities. Your past experiences demonstrate you’ll take initiative and go above and beyond the call of duty.  
• You’re interested in the future of Analytics and embrace technology.  

  

Preferred Qualifications  

• Passion for learning and working with computing hardware and terminology (cores, memory, storage, NFS, etc.)  
• Prior experience or passion for learning SAS products and solutions 
• Prior experience or passion for learning cloud computing such as Azure, AWS or Google 
• Understanding or passion for learning about Kubernetes 
• Confident programming skills in Python 
• Customer centric—with a customer first mentality.   

 

Location  

This internship will be a hybrid position based in Cary, NC, with the option to be fully remote.

 

  

Internship dates:

May 20 – August 8, 2025: Full-time during the Summer (35hr/week)

August 9 and onward: Part-Time during the school semester (15-20hr/week)