CLOSE

 
Shortlisted jobs: 0
Close
Upload successful Close

By uploading your CV, applying to one of our advertised roles or asking us to act on your behalf to find suitable relevant employment, you confirm that you have read and agree to use of your data in accordance with our data privacy policy, a copy of which is available here

Analog IC Design Lead – deep learning

Innovation is calling you to lead a team of Analog IC Designers in the Zurich area that work on ultra - low - power Analog Mixed Signal IC's for accelerators for IoT in a creative and well-funded start up environment creating and patenting new IP for artificial neural network/machine learning.

In this role you will supervise less experienced Engineers and collaborate with machine learning experts to define the system architecture and specifications, as well as the circuit building blocks as well as contribute to IC design activities, including simulation, layout, validation, and characterisation of ultra-low-power Analog Mixed Signal IC's for IoT systems.

Your tasks will include collaboration with marketing and product engineers and interaction with international customers and research institutes

You are best equipped for this position if you are industry degree qualified with at least a Masters in Electrical Engineering (Major IC design or microelectronics) and have at least a few years of experience in Analog Mixed Signal IC Design in a Cadence/CMOS environment from a position in a Semiconductor business ideally in the design of low-power switched-cap IC's and ADCs.

Knowledge or experience of artificial neural network and/or machine learning is beneficial to your application.

To apply please contact Ane @IC Resources with your CV and a time for a first call!

Switzerland

Print Save To Shortlist
Job Details
  • Zürich, Switzerland - Basel, Switzerland
  • Permanent
  • JO-1901-136414_icr
Apply for this job

By uploading your CV, applying to one of our advertised roles or asking us to act on your behalf to find suitable relevant employment, you confirm that you have read and agree to use of your data in accordance with our data privacy policy, a copy of which is available here

Remember me
Remember me