Advanced Technology Engineer, Cerebras Systems
AI specific computer chip manufacturer
Job no longer available
AI specific computer chip manufacturer
201-500 employees
Job no longer available
201-500 employees
Company mission
Cerebras Systems' mission is to speed up the development of artificial intelligence and change the future of work.
Role
Who you are
- BA, Masters, or PhD in Computer Science or related field
- Expert in C programming; fluent in implementing classical CS algorithms from scratch
- Familiarity with Python, shell and make programming
- Familiarity with a machine learning framework such as PyTorch, with a good understanding of how to define custom layers
- Experience with supervised deep learning models such as RNNs and CNNs
What the job involves
- This role will allow you to work closely with leading technologists in optimization, machine learning, mathematics, and hardware design
- Ou will get to see how algorithmic innovation is applied to accelerate hardware architectures and is applied to some of the world’s most challenging machine learning problems
- Working with mathematicians to implement algorithms based on theoretical and mathematical descriptions
- Working with bare-metal representations of classical CS data-structures
- Implementing machine learning algorithms from scratch without an ML framework
- Prototyping network architectures using ML frameworks such as PyTorch and TensorFlow
- Working with IEEE floating point number system and alternative proprietary number systems
- Working with intermediate representations used in compilers and interpreters
- Working with researchers to incorporate novel algorithms into CNN and RNN models
Our take
Cerebras Systems creates super-fast computer chips for high-functioning AI systems. In 2019 they launched the world's largest computer chip, many times larger than those already available. With this one piece of hardware, they pressed fast forward on machine learning, with significant implications for the energy, medical, and defense sectors.
Founded by leading computer architects, the vision behind Cerebras was to enable the growth of AI through better hardware. Many of the management team are ex SeaMicro, a technology hardware company that sold for $334 million in 2012. So it's clear these experienced technologists know how to bring a successful product to market. Cerebras is already outpacing the more established chip makers such as Nvidia and Intel, particularly as neither chip maker is specifically focused on providing for AI systems.
Cerebras secured backing from some of the top technology venture capital firms early on, including big hitters Sequoia Capital. In 2109 Cerebras announced a multi-year partnership with the US Energy Department. Further confirmation that fast-tracked AI has the potential to impact a variety of industries in a big way.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
41% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Nov 2021
$250m
Nov 2019
$272m
Total funding: $720m
Company benefits
- 401k matching
- Flexible Spending Account (FSA) program
- Stock option plan
- Flexible working hours
- Work from home opportunities
- Health insurance
Company HQ
Sunnyvale, CA
Leadership
Andrew Feldman
(CEO)Andrew started his career in Sales and Marketing at Molecular Applications Group, Cabletron, Riverstone Networks, and Force 10, before working as an Entrepreneur in Residence for USVP and Crosslink. He utilised this experience to co-found Cerebras in March 2016.
Jean-Philippe Fricker
(Chief System Architect)Worked as a Systems Architect for over 20 years for various companies including Nokia, Sea Micro and Dell EMC.
Michael James
(Chief Software Architect)Lead Software Architect responsible for distributed system software at SeaMicro. After SeaMicro was acquired, Michael was made an AMD Fellow and Lead Software Architect.
Sean Lie
(Chief Hardware Architect)Sean was Lead Hardware Architect of the IO virtualization fabric ASIC at SeaMicro. After SeaMicro was acquired by AMD, Sean was made an AMD Fellow and Chief Data Center Architect.
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