Syntiant Corp.

Tech / AI / Software

PrincipalSoftwareEngineer

bengaluru, karnataka, india FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Principal Software Engineer at Syntiant Corp.. Skills: Principal Software Engineer, Core Machine Learning, model converter code, PyTorch, Keras, Syntiant Nural Decision Processors, ML Modeling, Embedded Software, embedded firmware. develop and enhance model converter code to support PyTorch and Keras trained models to run on Syntiant Nural Decision Processors. optimize code and extract last bit of performance from NDP while generating the neural network model from a pretrained model”

What You'll Achieve.

ensure that the trained models are efficiently converted for running them on NDP; see your work driving the latest edge AI devices

Industry & Context.

Tech / AI / Software
Problems you'll solve

optimize code; extract last bit of performance; digging deep in embedded firmware code to optimize the DNN execution path

What They're Looking For.

Must Have

8+ years of experience developing of framework/applications of ML for edge devices, C/C++ and Python experience, Experience with ML frameworks (e. g. TensorFlow, PyTorch), Experience with ML runtimes, e. g. TVM, ONNX, TF Lite Micro, TensorRT, etc., Experience in embedded development, bare metal and RTOS, Experience with code optimization, quantization, network pruning etc., Experience working in large, complex codebases

What You'll Do.

develop and enhance model converter code to support PyTorch and Keras trained models to run on Syntiant Nural Decision Processors

optimize code and extract last bit of performance from NDP while generating the neural network model from a pretrained model

digging deep in embedded firmware code to optimize the DNN execution path

work across the stack from model converter to embedded firmware

How You'll Work.

Team & Collaboration

interacting closely with the Machine Learning Modeling and the Embedded Software teams

Full Job Description

_**Summary Description**_**:** Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for an experienced and talented **Principal Software Engineer** to take on a critical role with expansive responsibilities in the Core Machine Learning team. As a **Principal Software Engineer** , you will lead a team to develop and enhance model converter code to support PyTorch and Keras trained models to run on Syntiant Nural Decision Processors. You will be interacting closely with the Machine Learning Modeling and the Embedded Software teams to ensure that the trained models are efficiently converted for running them on NDP. You will be applying your knowledge to optimize code and extract last bit of performance from NDP while generating the neural network model from a pretrained model. You will be digging deep in embedded firmware code to optimize the DNN execution path, if needed. You will be expected to work across the stack from model converter to embedded firmware. Ultimately, you will get the opportunity to apply machine learning in real world applications and see your work driving the latest edge AI devices. **Requirements** _**Qualifications, Education, and Experience Required:**_ * 8+ years of experience developing of framework/applications of ML for edge devices. * Strong C/C++ and Python experience. * Experience with ML frameworks (e.g. TensorFlow, PyTorch). * Experience with ML runtimes, e.g. TVM, ONNX, TF Lite Micro, TensorRT, etc. * Experience in embedded development, bare metal and RTOS. * Experience with code optimization, quantization, network pruning etc. * Experience working in large, complex codebases. **Benefits** _**About Syntiant**_**:** Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio,

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