June 16, 2022
Full time openings at Intel in CE/AI/Heterogenous computing
Position Type: | Research |
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Priority: | No |
Degree Requirement: | BS, MS, PhD |
Full time openings at Intel in CE/AI/Heterogenous computing
I am Ravi Gupta, Purdue graduate – 2016 EE batch and work at Intel at the convergence of Heterogenous computing, AI and HPC.
We are ramping up multiple teams and are looking for qualified candidates – both masters and PhD who are graduating soon and available to start.
If any candidate is interested, directly reach out to me on my email, ravi1.gupta@intel.com, or Linkedin.
Full time openings at Intel in CE/AI/Heterogenous computing
Reference Job descriptions(1):
Conducts design and development to build and optimize AI software.
Designs, develops, and optimizes for AI frameworks (e.g., OpenVINO) and to contribute to external frameworks (e.g., TensorFlow, PyTorch).
Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks.
Transforms computational graph representation of neural network model, and develops machine learning and/or deep learning primitives in mathematical libraries.
Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams.
Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, and utilizing experience with machine learning and/or deep learning frameworks.
Qualifications:
Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications:
-
Bachelors with 2 or more years, having or expecting a Masters degree in Computer Science.ORElectrical Engineering, Computer Engineering, or related technical discipline by Summer 2022.
-
One or more years of experience with the following technical skills
- Familiar with deep learning algorithms and models.
- Excellent performance analysis and tuning skills.
- Proven track record of deliver result in time on short release cycle.
- Excellent development and debugging skills.
- Experience in deep learning frameworks such as Tensor Flow and PyTorch.
- The candidate should be solid on at least two of the three programming languages (Python/C++/Java).
- Experience working with Windows and Visual studio.
- The candidate should have experience building and troubleshooting issues with both Linux and Windows systems, e.g. native windows, Windows in VMs, Cygwin, WSL, different Linux variants etc.
Preferred Qualifications:
- Have LLVM/Clang experience.
- Have improved performance for one of the frameworks is a plus.
- Have implemented new model on one of the frameworks is a plus.
- Have ported a model from one framework to another is a plus.
- Have used existing model to improve state-of-art of empirical problem is a plus.
- Have used Bazel and Jenkins is a plus.
Reference Job description(2)
Conducts design and development to build and optimize AI software.
Designs, develops, and optimizes for AI frameworks (e.g., OpenVINO) and to contribute to external frameworks (e.g., TensorFlow, PyTorch). Implements various distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in machine learning, and/or deep learning frameworks. Transforms computational graph representation of neural network model, and develops machine learning and/or deep learning primitives in mathematical libraries.
Profiles distributed deep learning models to identify performance bottlenecks and proposes solutions across individual component teams. Optimizes code for various computing hardware backends, and interacts with machine learning and/or deep learning researchers, and utilizing experience with machine learning and/or deep learning frameworks.
We create cutting-edge AI software products and solutions covering data analytics, classical ML, and Deep Learning. Artificial Intelligence and Analytics (AIA) organization focuses on supporting the SW Ecosystem, popular libraries, and frameworks and optimizing them for Xeons and Intel GPUs.
Our team in AIA is responsible for creating optimized and efficient, compelling End-to-End AI pipelines on different data modalities including Computer vision, NLP, Recommendation systems, video analytics, and others across the edge to cloud.
In this position, you will set the strategic and technical design of AI frameworks, protocols, algorithms/topologies, and optimizations, makes high level design choices focused on manageability, scalability, usability, resiliency, availability, security, and/or safety for the software structure, protocols, and algorithms, perform pathfinding, surveys technologies and presents at external and internal events. May interact with multiple technologists in the company to influence architectures and optimize/customize software offerings.
Qualifications:
You must possess the below requirements to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork and/or classes and/or research and/or relevant previous job and/or internship experiences
Minimum Qualifications:
- The candidate must possess a Bachelor’s degree ( 4+ years experience ), Master’s degree ( 2+ years experience ) or PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Applied Mathematics and related fields
-
2+ years’ experience in below areas:
- Experience in DL development in TensorFlow or Pytorch;
- Candidate should be solid on at least one of the following languages and familiar with both: Python, C/C++
- Extensive 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.
- Experience in DL development in TensorFlow or Pytorch for multi-node training and inference
- Experience and expertise at least in TWO of these domains: image/video, natural language, Recommendation systems and data analyses
Preferred Qualifications:
- Have improved performance for one of the DL frameworks
- Have implemented new model on one of the DL frameworks
- Have ported a model from one DL framework to another
- Have used existing model to improve state-of-art of empirical problem