Machine Learning SoC Architect, Tenstorrent
$100-500k
OTE
Building computers for AI
Be an early applicant
Building computers for AI
501-1000 employees
Be an early applicant
$100-500k
OTE
501-1000 employees
Company mission
To bring unique solutions to the problems facing AI and machine learning.
Role
Who you are
- You are endlessly curious, with a passion for exploring new technologies and solving complex, system-level challenges
- You’re self-motivated, capable of working both independently and collaboratively across teams
- You bring a deep interest in robotics and machine learning, and are energized by the opportunity to drive innovation in intelligent machines
- You’re a strong communicator, equally comfortable presenting architectural ideas as you are digging into technical bottlenecks with implementation teams
- You thrive in fast-paced, cross-functional environments and are eager to make an impact on industry-defining products
What the job involves
- We welcome candidates at various experience levels for this role. 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
- Own and author detailed architecture specifications for ML chiplets and SoCs targeting next-generation robotics platforms
- Work closely with internal stakeholders, partners, and customers to communicate architectural direction and tradeoffs
- Innovate and define new architectural features to optimize PPA and meet robotics-specific requirements
- Ensure solutions meet rigorous safety, reliability, and real-time constraints, including those required for automotive-grade systems
- Collaborate with modeling teams to analyze real-world robotics use cases, identifying system bottlenecks and optimization opportunities
- Provide ongoing architectural guidance to implementation teams across the project lifecycle, from idea to silicon delivery
- What You Will Learn
- Gain exposure to the full robotics stack—from autonomous vehicles and drones to industrial control and AI-enabled systems
- Work with state-of-the-art ML architectures for vision, point cloud processing, LLMs, and control
- Learn how open-source ML frameworks interface with Tenstorrent’s custom accelerators, and how real-time robotics systems integrate advanced silicon
- Deepen your understanding of hardware-software co-design, real-world safety/reliability standards, and silicon performance tuning for robotics workloads
- Collaborate with some of the brightest minds in ML, robotics, and silicon architecture
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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