
Federal Technical Staff, Systems Development Engineering - DOE
- Round Rock, TX
- Permanent
- Full-time
As a senior member of our AI Solution Engineering team, you will be responsible for early investigation, evaluation, validation and producing solutions and publication ready reference architectures for GenAI Solutions based on Dell server, storage and networking products, GPUs/DPUs/SmartNICs and applications from alliance partners. You will collaborate with AI, Server, Storage, Network architects, engineers, developers, product managers, and sales staff to ensure that our AI solutions are best-in-class for customer needs while being cost-effective.You will:
- Perform technical planning, analysis and hardware performance studies to meet solution requirements and perform component hardware and software integration and derive solution level requirement needed in early POC phases.
- Investigate and resolve technical issues related to the system, software and solution level interoperability, functionality, performance and scaling
- Engage with sales and extended teams to scope project work aligned to priorities; work with system engineers, project managers and Lab operation team members to design, develop, release and support the solution
- Create presentations describing the technical details of our solutions in a format appropriate for use with sales teams and customers
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:Essential Requirements
- 10 + years of experience in architecting, developing and deploying end-to-end (infrastructure to platform to application to workload to use-cases) AI solutions Management Solutions or equivalent experience
- 10+ years of hands-on experience on system engineering with AI related experience and performance
- Experience with NVDIA GPUS hardware, software and management stack/Experience with Dell hardware, serves, networking and software
- Experience with GenAI, AI, ML technologies\Outstanding communication skills
- Hands on experience with Kubernetes, Openshift
- BS/MS or equivalent experience in Electrical Engineering, Computer Science
- Hands on experience in dealing with Block, File and Object Storage/Experience with various GPU silicon technologies including NVIDIA, AMD and Intel
- Experience on AI tools and Models, including Hugging Face, Meta, ML Frameworks like Pytoch and Jupyter, MLOps such as mlflow, etc