AI Kernel Development Architect, Tenstorrent
$100-150k
Next-generation computing company building computers for AI
Job no longer available
Next-generation computing company building computers for AI
1001+ employees
Job no longer available
$100-150k
1001+ employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- A senior expert with deep understanding of HPC, AI kernels, and accelerator architectures
- A hands-on architect who can dive deeply into performance, modeling, and kernel design
- A collaborative leader who can guide engineers across US and Taiwan locations
- Someone who thrives in technically demanding, fast-paced, cross-functional environments
- 15+ years of experience in high-performance computing, spanning both software and hardware
- 5+ years writing, optimizing, and maintaining AI compute kernels
- Strong experience profiling and optimizing kernels for GPU, CPU, and/or custom ASIC accelerators
- Proven experience influencing HW architectural changes to improve performance, power, and area
- Experience working with performance-modeling teams using roofline and cycle-accurate simulators
- Ability and desire to act as both IC and Technical Lead Manager
- We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities
- We are looking for a strong HPC & AI Kernel Architect who combines deep technical expertise across hardware and software with proven leadership ability
- This role is ideal for someone who wants to drive performance innovation across CPU/GPU/ASIC architectures while leading a small, high-impact technical team based in Taiwan
What the job involves
- Tenstorrent is building the world’s most scalable compute platform, unifying next-generation CPUs, AI accelerators, compilers, and software frameworks to power the future of AI and high-performance computing
- What You Will Learn:
- How to drive co-design across Tenstorrent’s cutting-edge CPU and AI acceleration platforms
- Advanced performance-modeling approaches for emerging AI workloads
- How to influence silicon architecture through kernel-driven performance insights
- Scalable kernel development patterns for next-generation distributed AI systems
- Leadership strategies for guiding globally distributed technical teams
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
- This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology
Our take
Tenstorrent is a US- and Canada-based semiconductor startup specializing in processors for AI workloads. Rather than building gneral-purpose CPUs or GPus, the company develops custom chips and sofrware optimized for running moder AI models. As demand for AI accelerates, and as a global chip shortage reshapes the semiconductor industry, these trends have become strong tailwinds for Tenstorrent.
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 specialized 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
$693m
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.
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