AI Solutions Development Engineer - Austin, TX, United States - Dell

Description

AI Solutions Development Engineer

Bringing together hardware and software systems design, Systems Development Engineering operates at the very cutting edge of technology to meet them.

We design and develop electronic and electro-mechanical or systems-orientated products, conduct feasibility studies on engineering proposals and prepare installation, operation and maintenance specifications and instructions.

We're proud to deliver programs and products to the highest quality standards, on time and within budget.

Technological advancements continue to empower human progress to newer heights and innovations in the space of Artificial Intelligence (AI) are at the pinnacle of this transformation.

With Generative AI (GenAI) led momentum in the industry, Dell Technologies remains at the forefront by helping solve customer challenges with its industry leading products and solutions.

Dell Technologies' Integrated Solutions brings Dell and partner hardware and software products together in the form of reference and validated designs.

Join us to do the best work of your career and make a profound social impact as an AI Solutions Development Engineer on our Systems Development Engineering Team in Austin, Texas .

As an AI Solutions Development Engineer, you will be responsible for the engineering work necessary to develop Dell Integrated Solutions based on the Generative AI-based compute, network, and storage infrastructure environment.

You will work closely with multiple Dell stakeholders to ensure all engineering solutions projects align with Dell Technologies' AI strategy.

Our Solutions Development Engineers operate at the cutting edge of technological advancements.

We design and develop AI and GenAI solutions integrating GPU accelerated compute, network, and storage products, in Slurm and Kubernetes clustered environments, allowing data scientists and developers to develop, fine tune, customize and deploy (for inference) AI models towards various use-cases and deployment environments (core, edge, cloud and anything in between).

Review requirements and develop test plans based on the Generative AI solution specifications and Product Manager's Product Requirements Document
critical responsibilities of the role are to troubleshoot and resolve issues, conduct technical reviews of all deliverables, and continually communicate project status to all relevant stakeholders
Examine and evaluate internal and external engineering-specific documentation related to projects; you will share knowledge with peers and leaders to improve internal processes and drive ideas to streamline future development work
Utilize your expertise to assist in the development of technical customer and partner content such as design guides, sizing guides, technical white papers, implementation guides, technical blogs

8+ years' professional Engineering experience developing and deploying end-to-end (infrastructure to platform to application to workload to use-cases solutions is highly desired)
~ Knowledge in infrastructure deployment and the hardware ecosystem e.g., servers, storage, and networking (to include IP addressing, subnets, VLANs etc.)
~ Solid understanding of Linux-based operating systems (deployment and configuration) and cluster management (including deploying and managing containers, Kubernetes and Slurm clusters)
~ must be able to work with all levels of the organization and effectively communicate status of development work to relevant stakeholders in a consistent and timely manner

Generative/Cognitive AI framework/models, Machine Learning/Deep Learning, AI platforms/libraries (e.g., Hugging Face, TensorFlow) and Open-Source Machine Learning framework (PyTorch)
Degree in a quantitative field (Computer Science, Mathematics, Statistics, Electrical Engineering, Physical Sciences, etc.)

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.

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