We are designing AI hardware that pushes the limits of performance, power efficiency, and scalability. This role focuses on architecture and micro-architecture of Tensix AI cores, optimizing for performance, power, and area. You'll collaborate with architects, designers, and software teams to deliver high-performance AI IP.
This role is hybrid based out of Toronto, ON or Austin, TX.
We welcome candidates at various experience levels. 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.
What We Need- Good understanding of AI workload characteristics, in particular LLMs.
- Extensive experience in RTL design and micro-architecture of caches and/or scratch-pad memories.
- Experience developing and/or working with performance models for architecture exploration.
What You Bring- A Bachelor's degree in EE/ECE/CE/CS or a related field (MS or PhD preferred).
- Strong foundational experience in RTL design with a focus on power- and area-efficient architectures.
- An understanding of microprocessor architecture, logic design principles, and their timing/power tradeoffs.
- Deep interest in evaluating large-scale AI systems from software to physical design.
What You'll Learn- Evaluating system-level performance impact of design trade-offs.
- Advanced methods for floating-point arithmetic, low-power micro-architecture, and arithmetic circuit optimization.
- How to account for physical design considerations during RTL and micro-architecture specification.
- Strategies for integrating RTL improvements into a full AI compute stack to maximize real-world performance.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits.
