Job Description

Senior Principal Software Systems Engineer

Our Software Systems Engineering team ensures that our customers have the software systems they need for a changing world. Working at the cutting edge, we design and deliver software systems modifications as well as enhancements of new products. We oversee product development at all stages: planning, designing, developing and testing operating systems, compilers, routers, utilities, databases, embedded management and control devices, plus internet-related tools.

Join us to do the best work of your career and make a profound social impact as a Senior Principal Software Systems Engineer on our Software System Engineering Team in Round Rock, Texas (hybrid role) .

What you’ll achieve

As a Senior Principal Software Systems Engineer, you will lead AI/GEN AI initiatives and architect/develop solutions aligned to our AI/GEN AI strategy. You will partner with business leaders, engineers, product managers and industry experts to influence the shaping of future AI/GEN AI products.

You will:

• Identify and scope projects around innovation opportunities as well as technology risks; build prototypes and scalable AI/ML solutions that will be integrated into software products; drive continuous improvement; generate IP to protect innovation
• Design and develop sophisticated software; adopt or develop CI/CD processes and tools to make our development and delivery simpler and more robust
• Contribute to business strategy by making recommendations based on deep dive data analysis
• Mentor team members in design, code reviews, development tools and processes

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

• 12+ years’ related experience creating scalable and efficient software with a strong understanding of systems architecture
• Coding skills in Python and one or more of the following: C#, C, Java; proficiency in SQL and NoSQL databases e.g., MySQL, PostgreSQL, MongoDB; experience with testing frameworks e.g. Jest, Mocha and methodologies; experience with data analytics tools e.g., Power BI, Tableau and machine learning algorithms using Python libraries such as scikit-learn, TensorFlow and Keras
• Experience with Machine Learning model development utilizing large data sets and knowledge of Deep Learning, NLP, Classification, Forecasting, Regression, GenAI etc.
• Extensive experience working with Linux and Linux tools; must have deep understanding of server internals and hardware components, digitalization, data warehousing, data retention and infrastructure planning
• Expertise in DevOps practices and tools, including Jenkins, Kubernetes, Docker, Kafka, and GitHub Actions for continuous integration and deployment

Desirable Requirements

• Undergraduate or Graduate degree in a qualitative field e.g. Computer Science, Statistics, Electrical Engineering

Compensation: Dell is committed to Fair and Equitable compensation practices. The Base Salary Range for this role in is $175,950 to $227,700.

Benefits and Perks of working at Dell Technologies

Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

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Job ID: R257930

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