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RTL Designer

untether · 30+ days ago
Negotiable
Full-time
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***Please note: While our engineering HQ is in Toronto, this is a remote opportunity and we welcome applicants from anywhere in North America.***

We’re looking for best in class engineers to join our existing top-notch team. When you join Untether AI, you will be part of the team that creates innovative hardware and delivers industry leading AI performance and efficiency. Utilizing non Von Neumann techniques, you will help propel sustainable AI inference.

As part of this talented team of engineers, you are able to - and are excited to - architect, implement, verify and productize custom hardware designs. Being on our team means collaborating with an extremely bright group of people while tackling tough and interesting problems at the intersection of AI and hardware. 

To help grow our organization, we are looking for an RTL Designer to contribute to a team developing IP for both ASICs and FPGAs. The ideal candidate is a strong communicator, creative, a critical thinker, and able to analyze and resolve complex issues.

Responsibilities

  • Design, propose, and oversee the analysis/evaluation of hardware architectures
  • Design and code RTL modules written in Verilog/SystemVerilog
  • Simulate and perform hardware-based testing, debug, and verification
  • Scripting and basic software development in support of hardware design
  • Apply Agile development methodologies including code reviews, sprint planning, and frequent deployment

Requirements

  • B.S, M.S, or Ph.D in Electrical Engineering, Computer Engineering or Computer Science
  • 5+ years of experience in hardware systems design, analyzing and improving RTL hardware performance and area as well as lab bring-up
  • FPGA/ASIC development environment tools expertise, including design, implementation and debug
  • Strong knowledge with RTL programming languages Verilog/SystemVerilog (preferred), or VHDL
  • Ability to read and write code in Python (C, C++ are assets)
  • Hands on experience in PCIe PHY and controller IP integration and bring-up

Preferred Skills & Experience

  • Deep experience with ASIC and FPGA programming including timing closure, resource management, and using IP libraries highly preferred
  • Working experience with PCIe, UCIe, and HBM will be an asset 
  • Experience with Agile development methodologies
  • Experience in technical leadership of small teams

What are some of the perks that you will receive being part of Untether AI? Aligned to Untether’s philosophy, our employees enjoy the same perks, regardless of role or level. In part, these include:

  • 20 vacation days
  • Strong health and extended health benefits
  • Unlimited sick days
  • Stock options
  • Building chips and software that will change the world
Thinking about applying?  

We’re a pretty welcoming bunch of people.  If we’ve piqued your interest, you’re passionate about the same things we are but you aren’t sure if you check all the boxes, please apply anyway.  We’re a great place to work, an even better place to learn and we focus on both capability and potential!

Besides being a pretty friendly group, we’re also pretty diverse - ethnically, experientially and in our physical and mental abilities.  If you are someone who needs accommodation during the interview process and/or in the workplace, please send a note along with your resume to careers@untether.ai and we’ll be in touch.  

A little bit more about Untether AI

Untether AI has developed a groundbreaking new architecture that brings neural net inference to new levels of performance and efficiency.  We’ve already sold our product to smart clients who want to get in at ground zero.  We’ve done this while continuing to improve our technology creating ultra-efficient, high performance AI chips that eliminates the data movement bottleneck that costs energy and performance in traditional architectures.  We’re a team made up of scientists, engineers and entrepreneurs and have the support of tier one investors. Join us to be part of something big - a chance to create the future of AI.

Last updated on Sep 6, 2024

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