Staff Software Engineer, Untether AI
Rack Scaleout
Offers Stock Options
Faster execution for AI workloads
Open for applications
Faster execution for AI workloads
101-200 employees
Open for applications
Offers Stock Options
101-200 employees
Company mission
To help companies run AI workloads to run neural networks faster, cooler, and cost-effectively using at-memory computing.
Role
Who you are
- 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!
- 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)
- Familiarity with networking concepts
- Experience working in cross-functional teams
Desirable
- Master or PhD in Computer science, engineering or related field
- Experience with rack scale and above distributed systems
- Experience delivering high-performance software to production
- Hardware design experience (architecture, circuits, RTL) a plus
- Familiarity with neural net frameworks
- Familiarity with PCIe interconnect
- Experience with smartNIC networking
- Strong communication skills
What the job involves
- As a successful candidate, you would find working as a member of cross-departmental virtual teams tasked with shaping and implementing scaleout solutions that enable this transition
- Collaborating with our board/platform team to define short-term scaleout product offerings,
- Collaborating with the CTO office to explore next-gen silicon interconnect innovations,
- Interacting with customers to understand their scaleout needs and propose solutions
- Standing up physical hardware to prove out scaleout solutions,
- Developing orchestration software solutions to enable such scaleout and much more!
- 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
Application process
- If you are someone who needs accommodation during the interview process and/or in the workplace, please send a note along with your resume
Our take
Increased use of AI, and the hardware requirements that come with it, have presented a challenge for traditional datacenter compute architectures. Untether AI was launched to help companies run their AI workloads much faster, smoother and without breaking their budget.
The company has developed a unique at-compute chip architecture for neural net inference that eliminates the data movement bottleneck that costs energy and performance in traditional architectures. By having the compute element directly adjacent to memory cells, it accelerates inference for diverse neural networks such as vision, natural language processing and recommendation engines.
With considerable funding at its back, Untether AI is committed to driving customer expansion and continues to develop its next-generation of chip and products, as well as expand its team and partnerships.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jul 2021
$125m
SERIES B
Jul 2020
$6.6m
SERIES A
Total funding: $148.4m
Company benefits
- 20 vacation days
- Day one health benefits
- Unlimited sick days, within reason
- Stock options
- Building chips and software that will change the world
- And… free lunch once a week
Company HQ
Fashion District, Toronto, ON
Articles
Leadership
Darrick Wiebe
(Co-Founder)With experience as a Technology Artist, they went on to Co-Found XN Logic and LightMesh.
Raymond Chik
(Co-Founder)Co-Founder and Board Chair at Hepzibah and Kapik Integration.
Chris Walker
(CEO & President)Also Senior Advisor at Cerberus Capital Management. Prior to this, they spent almost three decades at Intel Corporation, including as a VP and GM.
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