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Intel AI Framework Engineer India, Karnataka, Bengaluru 484038084
algorithms/topologies,and optimizations to support end-to-end product rollout for key definitional partners to achieve the desired model and compute performance. Makes high-level design choices focused on feasibility, manageability, scalability, usability, resiliency, availability, security, and/or safety for the software structure, protocols, and algorithms. Determines coding, development tools, validation, and drive standards & compliance requirements. Collaborates and works closely with customers, data scientists, security experts, validation engineers, management, product owners, and project managers to evaluate the feasibility of requirements and determine priorities for development. Performs pathfinding, build out the technology, surveys other technologies to solve real-world problems, participates in standards committees, and presents at external and internal events. You will interact with multiple technologists in the company and industry to influence architectures and optimize/customize software offerings.
:
- MS in Electrical/Computer Engineering, Computer Science, Applied Mathematics, or a relevant science/engineering discipline.
- 5+ years of experience in C++ and/or Python & Object-Oriented Design Patterns.
- 4+ years of experience in AI/ML/Distributed-Systems/Network-Architecture, including experience with one or more AI frameworks (TensorFlow, PyTorch, Caffe)
- 2+ years of experience in multi-instance & multi-node cluster training and inference.
- 3+ years of experience improving the performance of models on at least one DL framework.
- Strong Mathematical/Algorithms/Analytical Skills or Experience
- Excellent Programming, Debugging, and Performance Analysis Skills
- Experience with AI training architectures on CPUs and GPUs.
- Experience working on Cloud and Edge-based architecture.
- Excellent written and verbal communication skills expected to frequently present complex ideas to technical leaders & C-Suite execs.
Preferred Qualifications:
- Experience building software from scratch for new products.
- Experience creating solutions that focus on UX/DX experience.
- Experience Contributing to Open-Source projects.
- Experience with federated learning.
- Experience with leading/ managing complex products and teams in highly matrixed organizations.
- Knowledge of Unix/Linux operating systems especially with virtual containerized environments (docker, conda)
- Multi-node cluster setup and orchestration (Kubernetes); CI/CD tools and methodologies.
- Research experience in deep learning, machine learning, graph analytics, and numerical analysis.
- Experience working in geographically distributed engineering teams.
- Have improved performance for one of the DL frameworks or the workflow end to end.
- Have implemented new model on one of the DL frameworks.
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