Staff Software Engineer - Modeling and Architecture
Untether AI
Software Engineering, IT
Canada · United States · Remote
Posted on Oct 17, 2024
Untether AI is building the world’s highest performance pure-digital AI inference chip. We’re a rapidly growing Toronto-based startup, with employees across Canada and the US, building next generation hardware AI accelerators for neural net inference. We are investing in software in a big way in order to make it as seamless as possible for researchers and developers to successfully deploy neural networks on our hardware.
The early productization team works at the frontiers of AI technologies including areas such as large language model generative AI, autonomous vehicles, and next generation silicon. We have an immediate need to expand the architecture modeling capabilities of the team.
As a modeling team member you will be responsible for developing near cycle accurate C++ models of our next generation HW and using those models to help shape next generation silicon architectures. On any given day your work could include:
- Writing high performance, production quality C++ simulation models
- Collaboratively, with the CTO office, exploring next gen silicon architecture innovations,
- Working closely with our HW design team both to model what they are building and validate that our HW designs match the architectural intent.
Whatever the task, you can rest assured that it is of critical importance, requires innovative thinking and will help shape the future of Untether.AI. If you are a self driven generalist capable of working at the intersection of software and hardware then this job might be right for you!
Requirements
- Computer science, engineering or related degree
- 5+ years of experience
- Creative problem solver, passionate about solving hard problems
- Strong C++ development skills required
- Working hardware knowledge (architecture, circuits, RTL)
- Experience with tuning and optimizing code for high performance
Preferred Skills
- Master or PhD in Computer science, engineering or related field
- Experience delivering high performance software to production
- Hardware design experience (architecture, circuits, RTL) a plus
- Familiarity with neural net frameworks
- Strong communication skills
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. We recently received $125 million in our series B funding round which enables us to expand our customer engagements, enhance our software offering, and build the next generation of industry leading AI inference products. Join us to be part of something big - a chance to create the future of AI.