Job Description:

Sr. Software Engineer - Deep Learning

Job Locations

US-NC-Cary HQ | US

* You may work remotely for this role. Or, you may join us onsite at SAS Headquarters in Cary, NC.

Are you a problem solver, explorer, and knowledge seeker - always asking, "What if?"

If so, you may be the new team member we're looking for. Because at SAS, your curiosity matters - whether you're developing algorithms, creating customer experiences, or answering critical questions. Curiosity is our code, and the opportunities here are endless.

What we do

We're the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo and changing the way we live.

For eight years running, we're positioned as a leader in the Gartner Magic Quadrant for Data Science and Machine Learning platforms. We're committed to driving the future of analytics, and we're at the forefront of helping our customers understand what their data is telling them.

What you'll do

As a Sr Software Engineer - Deep Learning on the Advanced Analytics R&D Team at SAS, you will develop, maintain, and extend the software framework for deep learning algorithms running in multi-threaded and distributed environments. You will act as technical focal point for GPU development within the division.

You will:

Design and develop high quality, testable and scalable software solutions within established timelines while adhering to R&D best practices and processes.
• Participate in project scoping and scheduling; track progress of individual tasks and alert stakeholders of issues blocking or preventing completion of task.


• Ensure quality through functional, unit and performance testing; develop/extend automated test framework to support CI/CD processes.


• Maintain accountability for the entire life cycle of the code including support for both internal and external consumers.


• In collaboration with technical writers, author appropriate level of design and technical documentation that satisfies both internal and external consumers.


• Work closely with technical support and testing groups.


• Work closely with other product development teams to integrate deep learning tools into company solutions and analytical products.


• Develop prototypes and conduct performance studies.


• Act as the technical lead for GPU-related efforts within Advanced Analytics R&D.


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What we're looking for

• You're curious, passionate, authentic, and accountable. These are our values and influence everything we do.


• You have a bachelor's degree in Computer Science or a related quantitative field.


• 8+ years of professional software development in C/C++.


• Experience writing large scale distributed programs with significant numerical content in C or C++.


• Parallel and distributed programming skills.

The nice to haves

• Advanced degree in Computer Science or a related quantitative field.


• Significant programming experience with CAS actions.


• Base SAS programming skills.


• Python programming skills.


• Exposure to C++ interface for open source packages PyTorch and Tensorflow.


• CUDA C++ development experience.

Other knowledge, skills, and abilities

• Ability to work with open source software.


• Ability to write documentation.


• Working closely with testing.


• Collaborating with technical support groups.

Why SAS

• We love living the #SASlife and believe that happy, healthy people have a passion for life, and bring that energy to work. No matter what your specialty or where you are in the world, your unique contributions will make a difference.


• Our multi-dimensional culture blends our different backgrounds, experiences, and perspectives. Here, it isn't about fitting into our culture, it's about adding to it - and we can't wait to see what you'll bring.

#LI-TP1

SAS looks not only for the right skills, but also a fit to our core values. We seek colleagues who will contribute to the unique values that makes SAS such a great place to work. We look for the total candidate: technical skills, values fit, relationship skills, problem solvers, good communicators and, of course, innovators. Candidates must be ready to make an impact.

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 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:Equal Employment Opportunity is the Law. Also view the supplementEEO is the Law, and the Pay Transparency notice.

Equivalent combination of education, training and experience may be considered in place of the above qualifications. The level of this position will be determined based on the applicant's education, skills and experience.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.

All valid SAS job openings are located on the Careers page at www.sas.com. SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. Should you have any doubts about the authenticity of any type of communication from, for, or on behalf of SAS, please contact us at Recruitingsupport@sas.com before taking any further action.