People Gamut HR Solutions
Location
Bangalore | India
Job description
Job Description: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. 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 toward 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.What you'll achieve:As a Principal Systems Development Engineer, you will be responsible for the engineering work necessary to develop 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 deploy, configure, and test AI workloads running on these infrastructures in 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 and 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 a technical review of all program deliverables before completing engineering work. Capture Engineering results to author technical content in the form of a Design Guide, Technical White Paper, Implementation Guide, Sizing Guide, and Technical Blogs.- Initiate review and analysis of internally and externally facing engineering-specific documentation with 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 the status of AI solution development work to relevant stakeholders, especially any issues that put the project timeline and quality at risk. Take the first step toward your dream careerHere's what we are looking for in this role:Essential Requirements :- 8 to 13 years of related (AI, Computer Vision) experience architecting, developing, and deploying end-to-end (infrastructure to the platform to application to the 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 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. (ref:hirist.tech)
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