Staff Field Application Engineer, Tenstorrent
Customer Engineering
$100-500k
More information about location
Building computers for AI
Job no longer available
Building computers for AI
501-1000 employees
Job no longer available
$100-500k
More information about location
501-1000 employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- We are seeking a dynamic and experienced Field Application Engineer / Application Engineer with a strong focus on AI/ML software to join our team
- Bachelor's degree or higher in Computer Science, Engineering, or a related field
- Proven experience as a Field Application Engineer, Application Engineer, Sales Engineer, or Solutions Architect, with a focus on AI/ML software
- Strong proficiency in programming languages, particularly Python, with knowledge of C++ is considered advantageous
- Deep understanding of AI/ML frameworks such as PyTorch and TensorFlow, with expertise in Generative AI and LLM applications preferred
- Experience in deploying, training, and fine-tuning AI models, along with designing scalable solutions to meet customer requirements
- Familiarity with cloud platforms and experience deploying applications in cloud environments
- Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences
- Passion for innovation and a proactive attitude towards learning and adopting new technologies
What the job involves
- In this role, you will serve as the primary technical contact for our customers, working closely with application developers and serving as a trusted advisor to implement solutions using our products
- Additionally, you will collaborate with internal teams including sales, product development, and business development to ensure customer success and contribute to the advancement of our AI software solutions
- Serve as the primary technical liaison between our company and customers, providing expert guidance and support in implementing AI/ML software solutions
- Collaborate with customers to understand their specific requirements and develop tailored solutions that address their unique needs
- Design and architect solutions for a variety of AI use cases, with a focus on Generative AI and LLM applications, while also possessing experience in vision and other language models
- Deploy applications on cloud platforms, ensuring scalability, reliability, and performance of AI solutions in cloud environments
- Collaborate with cross-functional teams including product development, engineering, and research to drive innovation and enhance our AI/ML software offerings
- Deliver engaging presentations and demonstrations to showcase the capabilities of our AI/ML software solutions to both technical and non-technical audiences
- Stay updated on the latest trends and advancements in AI/ML technology, incorporating new knowledge into solution design and customer engagements
Our take
Advances in artificial intelligence apps, combined with a global chip shortage, are strong tailwinds for chip processor Tenstorrent. The semi-conducter developer is designing specialized chips for running artificial intelligence applications, building chips for what it calls "software 2.0".
The company’s unique approach is to build for this future software, which it believes will be written at a higher level. Combining this with conditional computing, Tenstorrent supports a scalable distributed network approach that is analogous to a human brain.
While the market for specialised AI hardware is destined to be gigantic, the company has to compete with a plethora of hopeful startups (as well as major tech companies like NVIDIA and Qualcomm). That said, Tenstorrent boasts an excellent trajectory so far, with its latest moves including unveiling its high-end Wormhole AI processors, and a partnership with LG which will see the development of chips for "Affectionate Intelligence".
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Dec 2024
$700m
LATE VC
Jun 2024
$300m
LATE VC
Total funding: $1.3bn
Company values
- Collaboration
- Curiosity
- Commitment to Solving Hard Problems
Company HQ
Flemingdon Park, Toronto, ON
Articles
Leadership
Jim Keller
(CEO)Previously Senior VP of Silicon Engineering at Intel Corporation, VP of Autopilot Hardware Engineering at Tesla, Corporate VP and Chief Architect at AMD, and VP of Engineering at Apple.
Milos Trajkovic
(Co-Founder & Director of Hardware Engineering)Former Manager of Firmware Design Engineering at AMD, and FPGA design engineer at Signum Concepts.
Ivan Hamer
(Co-Founder)Former Consulting Software/Embedded Engineer at AMD, and Senior Software Developer at iNTERFACEWARE.
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