Edge AI App Enabling Engineer

Candidate should be able to:
Interact with deep learning researchers and experience with deep learning frameworks.


Transform computational graph representation of neural network model.

Develop deep learning primitives in math libraries.
Implement various distributed algorithms such as model/data-parallel frameworks, parameter servers, data flow-based asynchronous data communication in deep learning frameworks.


Optimize code for various computing hardware backends.


Design, develop optimize for deep learning training and inference frameworks.


Conduct design and development to build and optimize deep learning software.



Candidate should have:
Excellent communication skills and interpersonal skills to be a team player.


ability to independently handle technical issues and come up w solutions
Ability to be a self-starter and highly proactive lead with a passion to work closely with customers in emerging areas applications
In-depth experience in Open VINO frameworks is highly desired
Exposure to CSP AI frameworks like Amazon Greengrass MSFT Azure is a definite plus
the ability for rapid prototyping of solutions and iteratively codevelop mature them with customers,
Prior experience in Cloud stack development including orchestration frameworks ex Kubernetes docker swarm container development middleware and building workflows involving deep learning solutions
Excellent coding skills and disciplined methodical approach to problem-solving
Prior experience in software stack development frameworks TF Pytorch models and performance accuracy tuning aspects
The ideal candidate shall have 5+ years of relevant industry experience