Job Overview:
| Job Role | Blockchain Quality Assurance Engineer |
| Job Type | Full Time |
| Experience | 8-10 years |
| Qualification | B.E/B.Tec/MS/M.Tech |
| Year of Passing | 2015 & below |
| Salary | 8 LPA – 12 LPA |
| Job Location | Bangalore |
| Last Date | Apply Before the link Expires |
Dell Hiring for Principal Systems Development Engineer
About Company :
Dell is a Technology driven company with a unique Dell Direct model. Dell Information Technology department (Dell I/T) plays a key role in enabling the Dell Direct model by creating, deploying and supporting global industry-leading I/T assets and services that reliably deliver the best customer experience and competitive edge.
Official Company Website : www.dell.com
Dell Hiring for Principal Systems Development Engineer Position:
Job Responsibilities :
Principal Systems Development Engineer
Our customers system requirements are usually highly complex. Bringing together hardware and software systems design, Systems Development Engineering operates at the very cutting edge of technology to meet them. Dell Technologies Integrated Solutions brings Dell and partner hardware and software products together in form of reference and validated designs. These designs paired with various services offers customers to embark the AI and GenAI journey with confidence, irrespective of their starting point in this transformational journey.
Our solutions development engineers 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).
Join us to do the best work of your career and make a profound social impact as a Principal Systems Development Engineer on our Systems Development Engineering Team in Bangalore.
What youll achieve
As an Principal Systems 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 use deep technical and industry expertise in AI to do the deployment, configuration and testing of AI workloads running on these infrastructures in a highly available and scalable clustered configurations.
As a Principal Systems Development Engineer, you will design, define and implement complex system requirements for customers and prepare studies and analyses of existing systems.
You will
- Create Architecture Designs, Write Engineering Functional, Development and Test Plans based on the Generative AI solution specifications and requirements. Set up and deploy the technical environment necessary to execute all solution developments and testing required, as specified in the Engineering Test Plans.
- Troubleshoot/Resolve technical issues and conduct technical review of all program deliverables prior to completing engineering work. Capture Engineering results to author technical content in form of Design Guide, Technical White Paper, Implementation Guide, Sizing Guide, and Technical Blogs.
- Initiate review and analysis of internally and externally facing engineering-specific documentationwith stakeholders. Share innovation and technology knowledge gained from each project to help other engineering peers and leaders gain knowledge, help improve internal processes and future project decisions, and drive ideas for the streamlining and automation of future development work.
- Lead functional responsibilities of Generative AI solution projects. Consistently communicates status of AI solution development work to relevant stakeholders, especially any issues that put the project timeline and/or quality as risk.
Essential Requirements
- 8 to 10 years of related (AI, Computer Vision) experience architecting, developing and deploying end-to-end (infrastructure to platform to application to workload to use-cases) solutions.
- Strong knowledge of AI Technologies, including but not limited to Generative/Cognitive AI framework/models, Machine Learning/Deep Learning, AI platforms/libraries (Hugging Face, TensorFlow, etc.), and Open-Source ML framework (pytorch).
- In depth knowledge of infrastructure deployment, including knowledge of installation/configuration/troubleshooting of Servers, Storage, and Networking, knowledge of Linux-based operating systems (deployment and configuration) and networking (IP addressing, subnets, VLANs, etc).
- In depth knowledge of cluster management, including deploying and managing containers, Kubernetes and Slurm clusters.
Desirable Requirements
- Engineering or equivalent experience in Computer Science.
- Have outstanding communication skills and possess the ability to handle multiple simultaneous projects
