Principal Design Engineer

Machine Learning Software Developer

Member of the Tensilica Machine Learning DSP team within Cadence responsible for developing software and applications that enable customers deploy neural networks on our DSP and other hardware platforms.

Develops software using C++ to implement neural network processing, Uses ML frameworks like Tensorflow and Pytorch to analyze and test neural networks, keeps up to date with state of the art in neural networks, implement techniques and transformations to efficiently map them to Tensilica platforms.

Applies knowledge of Machine learning to explore alternative approaches and tradeoffs for high performance such as data precision tradeoffs, performance optimizations and transformations of the algorithm to expose more parallelism.

Analyzes accuracy and performance of algorithms on DSP, identifies any bottlenecks and works along with algorithm engineers to alleviate them.

The Position Requirements are…

· MS in EE/CS or equivalent, 1+ years of relevant industry experience preferred

· Strong C++ programming skills

· knowledge of Machine learning and computer vision frameworks and standards such as Tensorflow, Pytorch, etc.

· Understanding of neural network processing fundamentals and architectures.