Syntiant Corp.
Tech / AI / Software
PrincipalSoftwareEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“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.
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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