We are looking for best in class engineers to join our existing topnotch team. When you join Untether AI you will be part of a team that designs develops and verifies the software that interacts with our chip collaborating with our hardware engineers and with fellow software engineers in the process. By creating software that fully realizes the capabilities of the hardware you will help get AI inference to the general populace.
As part of this exceptional team you are able to and get excited by identifying functional/performance bottlenecks and how to alleviate them in order to achieve scalable and reliable software. You excel in an environment with complex software and hardware designs.
We are looking for an experienced Senior Kernel Engineer who can help build and optimize our SDK. Our tools and libraries unlock industryleading performance and power efficiency on our unique atmemory AI inference chips. We enable customers to compile models directly to run on our architectures and provide tools to analyze and optimize performance.
The kernel library is at the heart of our SDK leveraging HW features for fast computations dividing work flexibly amongst parallel computation elements as well as providing highly configurable dataflow options for all of our kernels.
The successful candidate will build a deep understanding of the capabilities and limitations of the architecture and of how features of the kernel library enable performant pushbutton compilations.
Responsibilities
Efficient and flexible implementation of neural network compute kernels for our chip families
Defining / Improving abstractions of our kernel library to accelerate kernel development
Analysis and optimization of individual kernel performance and fullnetwork implementation performance
Work closely with our compiler and physical allocation teams to enable efficient implementations of networks through our pushbutton compile toolflow
Requirements
Computer Science Engineering Math Physics or related degree
Experienced in Python C/C and SW design
Demonstrated ability to work independently through challenging but tightly constrained problems
Demonstrated ability to be a technical leader on projects with teammates or engineers from other teams
Interest and ability to work with both high level architectural and very lowlevel technical details
Experience with lowlevel and/or parallelization optimization e.g. assembly language development GPU shaders SIMD CUDA AI inference accelerator kernels
Preferred Skills
Experience with spatial architectures / atmemory compute
Knowledge of AI algorithms
Strong mathematical skills
Enjoy solving very complex problems (like doing IQ tests solving tricky math problems)
What are some of the perks that you will receive being part of Untether AI
Aligned to Untethers 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
Were a pretty welcoming bunch of people. If weve piqued your interest youre passionate about the same things we are but you arent sure if you check all the boxes please apply anyway. Were 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 were 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 and well 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. Weve already sold our product to smart clients who want to get in at ground zero. Weve done this while continuing to improve our technology creating ultraefficient high performance AI chips that eliminates the data movement bottleneck that costs energy and performance in traditional architectures. Were 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.
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