About the 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
About Tenstorrent
Computer Hardware Manufacturing
501-1000
Tenstorrent is a next-generation computing company that builds computers for AI.
Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers. Tenstorrent is backed by Eclipse Ventures and Real Ventures, Archerman Capital, Samsung Catalyst Fund, and Hyundai Motor Group among others.
Join us: www.tenstorrent.com/careers.
About the 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
About Tenstorrent
Computer Hardware Manufacturing
501-1000
Tenstorrent is a next-generation computing company that builds computers for AI.
Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers. Tenstorrent is backed by Eclipse Ventures and Real Ventures, Archerman Capital, Samsung Catalyst Fund, and Hyundai Motor Group among others.
Join us: www.tenstorrent.com/careers.