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.    

 If you’re looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you’ll find it here. We’re recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more.    

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 Industrial & IoT Division at SAS is a vertically integrated line of business charged with innovation: innovation in products and solutions and innovation around market engagement. We encompass R&D, Product Management, Industry Advisory and Product Marketing. We are looking for a curious and innovative candidate who believes that AI can make a real difference for IoT applications. 

Within our Enablement team we are helping helps customers design modern, cloudready AI architectures that connect devices, ingest highvelocity streaming data, operationalize AI models, and deliver outcomes—like safety monitoring, asset health, and realtime insights. We collaborate closely with field sales, consulting, R&D, and product management to turn business problems into scalable technical solutions. 

As an intern, you might:  

• Design, develop and document architectures and applications for IoT/realtime AI use cases, including Computer vision, GenAI and Agentic AI concepts and technologies 

• Document best practices for architecture, model inferencing, including guidelines for fast, efficient deployment 

• Develop and contribute to PoCs, demos and prototypes for IoT and streaming AI pipelines (e.g., MQTT, Kafka, API, sensors, video streams,…); help design Cloud and on-premise architecture, processing and dashboards to showcase value and readiness. 

• Create technical collateral (solution briefs, diagrams, demos) used by Solution Advisors in customer engagements.  

• Collaborate with R&D, Product Management, and Industry advisory teams 

Required Qualifications  

• You’re an undergraduate college student enrolled in an accredited program studying Computer Science, Computer Engineering, Information Systems, or a related field enrolled, not graduating prior to December 2026. 
• Core skills (some academic or project exposure):  

• Programming & Scripting: Proficient in Python, with exposure to Java, Scala, or TypeScript; solid understanding of SQL fundamentals.  

• System Architecture Fundamentals: Familiar with core architectural concepts including components, APIs, data flows, interfaces, and non-functional requirements.  

• Cloud & DevOps Basics: Foundational knowledge of cloud platforms (Azure, AWS, or GCP), containerization (Docker, Kubernetes), and version control using Git.  

• Technical Communication: Strong written and verbal communication skills; confident presenting complex technical concepts to both technical and non-technical audiences. 

• 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 AI and embrace technology.  

Preferred Qualifications  

• Streaming & IoT Protocols: Hands-on experience with messaging systems like Kafka and MQTT, and familiarity with IoT communication protocols.  

• AI & Agentic Workflows: Understanding of AI lifecycle concepts, including Generative AI and Agentic AI process flows.  

• AI Frameworks: Exposure to machine learning and deep learning frameworks such as TensorFlow, PyTorch, or ONNX.  

• SAS & Analytics Platforms: Interest or experience with SAS Viya services (e.g., Event Stream Processing, CAS, ModelOps, Decisioning) or similar platforms for streaming analytics and model deployment.  

• Time Series Data Design: Knowledge of schema design for high-velocity sensor data, including partitioning, idempotency, and de-duplication strategies.  

• Edge-to-Cloud Architecture: Understanding of edge computing patterns, including gateways, brokers, and platforms like Azure IoT Hub/Edge, with considerations for connectivity, buffering, and backpressure.  

• Technical Writing: Ability to create clear, customer-facing technical documentation and solution collateral. 

Timeline 

• Applications open: October 30,  2025
• Applications close: This application will close early to mid-November 2025
• Interviews begin:  November 2025
• Internship: May 19, 2026 – August 7, 2026.

Perks of the job 

• Work with (and learn from) the best. As a SAS intern, you’ll get face time with our top executives! 
• Free SAS programming training and certification.   
• At SAS, flexible work is the norm. Want to work remotely? That’s cool. Prefer a hybrid mix of sweatpants and in-person collaboration? That’s great, too.  
• We work hard, but we like to play hard, too. Enjoy hackathons, social events and other opportunities to connect + engage.  
• Your well-being matters, and that’s why we support all dimensions of your well-being by offering programs that reduce stress and distractions to help you stay healthy and productive.  This includes an on-site and remote Work/Life Center staffed by master’s level social workers and an Employee Assistance Program.

Diverse and inclusive    

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.    

Additional Information

To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity/Affirmative Action employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Know Your Rights. Also view the Pay Transparency notice.

Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact Recruitingsupport@sas.com.

Pay Transparency: The hourly rate for SAS internships is determined by the applicant’s year in school and the position they are hired into. Hourly rates range from $15 – $31 for associate’s/bachelor’s level positions and $29 - $49/hour for master’s/Ph.D positions. Internship roles are not eligible for bonus.

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