***Please note: While our engineering HQ is in Toronto, this is a remote/hybrid opportunity and we welcome applicants from anywhere in North America.*** Untether AI is building the world’s highest performance pure-digital AI inference startup. We’re a rapidly growing Toronto-based startup, with employees across Canada and the US (and even a few outside North America), 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. We are looking for software engineers at all experience levels to help build out the tools and systems needed to drive high developer productivity at Untether AI.
Responsibilities
As a Senior Software Engineer (Infrastructure) at Untether AI, you will engineer the platforms used by developers to do their work and those used by customers to access our software. You will help support software development efforts across multiple teams, develop efficient compilation, testing, and release workflows. To this end you will interface closely with the software teams to design, and implement productive and engaging workflows and processes. You will design, build, and maintain our internal infrastructure including our continuous integration (CI) system, compute farm, and software deployment systems. The types of tools you will be responsible for developing encompasses containers, build systems, installers, and other internal automation scripts and tooling. To manage the systems effectively, you will develop dashboards and reports to monitor and improve the functioning of our internal systems.
Requirements
5+ years of experience in a software development role
Experience developing software in C++ and python
Experience with C or C++ build systems and tools (CMake or similar)
Experience with python packaging infrastructure (pip, wheels, pypi)
Proficient in one or more shell scripting languages (bash or similar)
Proficient at developing containerized workflows (Docker, Podman, kubernetes)
Proficient at developing continuous integration (CI) systems
Good understanding of git and github
High familiarity with linux systems administration
Preferred Skills & Experience (Not Required)
Experience in a platform, dev-ex, or site-reliability engineering role
Experience developing and maintaining CI systems (Jenkins, Teamcity, gitlab)
Experience building and deploying containerized systems (Docker, kubernetes)
Experience with software package management and distribution (apt, rpm, pypi,)
Experience developing github hooks, actions, and integrations
Experience with virtualization and device drivers
Knowledge of release management best practices
Knowledge of git internals and tools for repository transformations
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.
