Machine Learning Architect

4 days ago


Berkeley, California, United States Zendar Full time

About Zendar:
Zendar is a cutting-edge technology company that develops innovative radar imaging systems. Their vision is to create next-generation safety features and driver-assistance technology using software-defined radar technology.
With headquarters in Berkeley, CA, and additional engineering offices in Germany and France, Zendar has a diverse and dynamic team of experts working on sensing technology.
The company has raised over $50M in funding and established strong partnerships with industry leaders. With their technology gaining traction, the team has more than doubled in size over the last year.

Your Role:
You will be a core member of the machine learning and perception team at Zendar, focusing on optimizing and deploying machine learning models on edge compute platforms. Key responsibilities include:
Understanding the capabilities, TOPS, and memory bandwidth of each target platform.
Designing or adapting models to align with hardware specifications and supported operations of the edge device.
Training and testing models to ensure they meet all runtime and performance requirements.

Key Skills and Qualifications:
3+ years of experience in optimizing deep neural networks and deploying them across diverse compute platforms, including Qualcomm and NXP.
Proficiency in modern Python and C++.
Expertise in designing and optimizing neural network models for edge deployment.

Benefits:
A competitive salary ranging from $145-190k annually depending on experience.
Performance-based bonus.
Benefits including medical, dental, and vision insurance, 401k plan, flexible PTO, and equity.



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