Hardware Methodologies Intern

Employer: 

Mythic

Location: 

Austin, TX
United States

Deadline: 

Monday, December 31, 2018

 

Hardware Methodologies Intern, Austin, TX. 3-9mo term

To apply: https://www.mythic-ai.com/careers/

Mythic’s platform delivers the power of desktop GPU in a single low-power chip, supporting inference for large deep neural networks. Mythic's technology is based upon an entirely new hybrid digital/analog flash calculation using 8-bit non-volatile memory arrays which has been under development since 2012. This step change in performance brings in a range of new applications in a broad array of verticals, including safety and security, autonomous vehicles, VR/AR, robotics, and media.

Mythic is a fast-growing company with ~60 employees, $56M in funding from top tier investors, and >$1M NRE revenue from two existing customer accounts. Mythic’s investors include Softbank, DFJ, Lux Capital, and Data Collective.

Mythic is seeking an intern for the Hardware Methodologies team. This position is ideal for a Master’s or Ph.D. candidate with an interest in semiconductor design and programming. The methodologies team is devops for chip design. We work with designers across the full chip design stack to develop, automate, and test new flows. We use modern tools like Rake, Ruby, and Jenkins to improve designer productivity and ensure chips are high quality.

As an intern on the Hardware Methodologies team, you will get exposure to all areas of chip design from digital RTL to custom circuit simulation. We work with lots of EDA tools and write code to link them together into flows. At Mythic you will have a chance to write and test production code in Ruby, TCL, and other languages. You won’t be given a toy project. You’ll get to do real work that makes a difference to Mythic’s bottom line.

Requirements: ● Enrolled in a Master’s or PhD program in Computer Science, Computer Engineering, Electrical Engineering, or similar ● Programming experience in a modern language such as Ruby or Python ● IC Design Coursework ● Self-starter who is not intimidated by complex software

Bonus skills: ● Experience with EDA tools from vendors like Cadence, Synopsys, or Mentor ● Can write Object-Oriented Code ● Experience with Continuous Integration and Software Testing