SENIOR MACHINE LEARNING ENGINEER
Seeking a Machine Learning Engineer who develops neural network for a given application and maps to FPGA solution. This resource will develop machine learning technology and also engage with customers and support them to deploy machine learning solution for their applications. This is an individual contributor role on a very experienced team of some phenomenal engineers.
- You will be developing technology to map the neural network into FPGA including neural network compiler and HW acceleration engine development.
- You will be expected to know the details of machine learning including network design, network training, and training dataset build up.
- Also need to understand the general accelerator structure of machine learning inferencing engine
MUST HAVE: Hands on experience on (nueral) network design and training. RTL design experience and FPGA design experience
Nice to have: Any experience working with Edge IoT devices or embedded systems.
Note for applicants: Please make sure you mention in your application if you have a strong grasp of Python, VLSI architecture, and/or general HW acceleration engine.
The position is based out of San Jose, CA. Open to candidates willing to relocate from within the United States.
We are an equal opportunity employer and make hiring decisions based on merit. Recruitment, hiring, training, and job assignments are made without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, or any other protected classification. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.
Field Programmable Gate Array
Very Large Scale Integration
Register Transfer Level
Artificial Neural Networks