AI Accelerator Architect
Tenstorrent · Austin, Texas, United States · Toronto, Ontario, Canada · United States
Infrastructureonsite$100k–$500k
At a glance
Highlights
- Design AI hardware pushing limits of performance, power efficiency, and scalability.
- Own architecture and micro-architecture of Tensix AI cores for high-performance IP.
- Evaluate system-level impact of design trade-offs across full AI compute stack.
What they offer
- Highly competitive compensation package and benefits
Ideal candidate
You are a collaborative hardware architect fascinated by large-scale AI systems, eager to optimize performance, power, and area from RTL to full-stack deployment.
Requirements
- Good understanding of AI workload characteristics, particularly LLMs
- Extensive experience in RTL design and micro-architecture of caches and/or scratch-pad memories
- Experience developing or working with performance models for architecture exploration
- Bachelor's degree in EE/ECE/CE/CS or related field (MS or PhD preferred)
- Strong experience in RTL design focused on power- and area-efficient architectures
- Understanding of microprocessor architecture, logic design and timing/power tradeoffs
- Deep interest in evaluating large-scale AI systems from software to physical design
- hiring process
- Candidates will be assessed for the appropriate level during interviews, with offers aligned to that level.
Lab profile
About Tenstorrent
Builds high-performance RISC-V CPUs and AI accelerators with full-stack software for efficient AI computing.
What they build
- AI accelerators
- RISC-V CPUs
- AI software and compilers
Known for
- Custom RISC-V CPU development from scratch
- Full-stack AI hardware and software
- Performance, ease of use and cost efficiency
Key facts
- Founded in 2016
- Headquartered in Toronto, Canada
- Backed by Samsung and Hyundai Motor Group
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