Infrastructure Developer, Tenstorrent
Kernel Development
Building computers for AI
Job no longer available
Building computers for AI
501-1000 employees
Job no longer available
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 be passionate about improving engineering productivity, CI/DI workflows, software performance measurement, Python coding, and developing automation infrastructure using local and cloud technologies
- BSc or a more advanced degree in Computer Engineering, Computer Science, Software Engineering, Electronics or a related field
- 2+ years of experience in software development, software test engineering, software infrastructure engineering, release engineering, or related roles
- Experience with Python software development and Linux scripting
- Experience with databases, cloud infrastructure, and visualization tools such as Superset
- Familiarity with implementing machine learning models and/or acceleration on parallel systems such as GPUs is a plus
- Experience with C++ is beneficial
- Experience with docker and GitHub pipelines specifically is a plus
- Excellent communication and collaboration skills, the ability to work effectively across cross-functional teams and interact with customers
- Proven track record of driving continuous improvement and delivering results in a fast-paced, dynamic environment
What the job involves
- Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency
- With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors
- Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible
- We value collaboration, curiosity, and a commitment to solving hard problems
- We are growing our team and looking for contributors of all seniorities
- This role involves defining, developing, and managing the software infrastructure for implementing and testing acceleration kernels and ML models on Tenstorrent hardware
- You will play a crucial role in developing automation infrastructure and standalone tools to analyze test data, automate quality checks and develop insights to maximize the performance of our ML accelerators
- The focus is on developing automation infrastructure for functional and performance testing, and developing tools to gain insights into ways to improve results
- Build tools to automate running ML acceleration kernel and model tests, measure performance and accuracy metrics, create dashboards for status and triaging, and automate documentation and packaging for customer releases
- Develop and maintain our test management system, using Python and cloud tools, to provide an easy to use developer experience
- Work with our Devops team to integrate our testing needs into CI/DI pipelines, using in-house flows and github workflow infrastructure
- Develop tools to analyze performance data and ensure performance is always improving
- Conduct experiments, alongside other developers, to gain insights into how to improve quality, productivity and performance
- Identify and analyze quality regressions, and work with developers to resolve them
- Collaborate closely with developers in our team and in other teams to improve our test system, expand it to meet company goals, and communicate key test results to developers and senior management
Application process
- During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting
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 HQ
Flemingdon Park, Toronto, ON
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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