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.
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, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles.
Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors.
Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors.
The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital.
More information on the company can be found by visiting www.
syntiant.com. One element in our total compensation package is base pay.
Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company.
It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range.
We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.
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.
This job post has been translated by AI and may contain minor differences or errors.
