C++/Machine Learning Engineer, Tenstorrent
AI Models Training
$100-500k
OTE
Office located in Santa Clara, CA
Building computers for AI
Be an early applicant
Building computers for AI
501-1000 employees
Be an early applicant
$100-500k
OTE
Office located in Santa Clara, CA
501-1000 employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- The ideal candidate will not only possess strong technical skills but also exhibit a deep curiosity, investigative mindset, and a passion for staying up-to-date with the latest advancements in the AI landscape
- Bachelor's or higher degree in Computer Science, Engineering, or related field (or equivalent practical experience)
- Strong c++ and low level programming expertise
- Linear algebra knowledge
- Hands-on experience with PyTorch for developing and training deep learning models is a big plus
- Demonstrated experience in designing, training, and deploying neural networks for various applications
- Solid understanding of machine learning fundamentals, including supervised and unsupervised learning techniques
- Excellent problem-solving skills and the ability to approach challenges with creativity and a strong analytical mindset
- Familiarity with debugging techniques and a knack for identifying issues and finding effective solutions
- Experience with C++ and kernel programming, knowledge in GPU/AI-accelerator architectures are pluses but not mandatory
- A self-motivated individual with a strong desire to learn, explore, and excel in a fast-paced, innovative environment
- Strong communication skills and the ability to work collaboratively in a team setting
What the job involves
- As a C++ Machine Learning Engineer focused on AI models, you will play a pivotal role in the development of ML training framework for development and training ML models
- Your expertise in Python and PyTorch will be beneficial in designing, training, and fine-tuning complex models that will be applied to solve real-world challenges
- Collaborate with cross-functional teams to understand project requirements and translate them into effective AI solutions
- Work on machine learning framework. Add support for new layers
- Train, validate, and fine-tune machine learning models using relevant datasets to ensure high accuracy and robustness
- Investigate and troubleshoot model performance issues, iterating on models and techniques to continuously improve results
- Understand how models map onto the Tenstorrent devices through compilation steps and kernels, investigate any gaps in functionality and performance, propose innovative solutions to mitigate any issues
- Stay current with the latest research and developments in the field of machine learning and AI, applying relevant advancements to our projects
- Contribute to the design and implementation of scalable and efficient AI pipelines
- Work closely with engineers to integrate AI models into production systems
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
52% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Dec 2024
$700m
SERIES D
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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