Sr. RTL Design Engineer - Tensix
📌Toronto, Canada 🇨🇦
⏱︎ full-time
🧙♂️ mid-level
💰 100000
hybrid
We are designing AI hardware that pushes the limits of performance, power efficiency, and scalability. This role focuses on implementing parameterized RTL designs, improving architectural and micro-architectural efficiency, and 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, CA; Austin, TX; or Santa Clara, CA.
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
- Implement parameterized RTL designs based on detailed micro-architecture specifications.
- Run synthesis, timing, and power experiments to evaluate and refine designs.
- Enhance RTL design environments, tools, and supporting infrastructure.
-
Collaborate with architects to improve performance, power, and area (PPA) across designs.
- 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.
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Proficiency in Python and C/C++ for design automation and low-level development.
- Techniques for writing, analyzing, and optimizing low-level kernels for AI workloads using Tensix ISA features.
- 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.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government.
Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.
If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.
Senior Embedded Software Engineer
@ Embedd 
What we're looking for
At embedd.it, we power hardware-software integration in embedded devices. We turn fragmented semiconductor chip data into configurable digital twins, then deterministically generate code, tests, and documentation – making integration faster, cheaper, and resilient to supply chain shocks.
We’re looking for a true legend – someone with abstract thinking and deep expertise in low-level software development. You’ll build vendor-agnostic tooling for MCU and peripheral integration to solve hardware-software integration once and for all. We work at the intersection of embedded systems, code generation, compilers, and machine learning. It’s your chance to help redefine how low-level development is done.
Responsibilities
- Drive the architecture of the driver structures and system layout
- Define scalable patterns for cross-architectural integration across bare-metal, Zephyr, Linux, and other environments
- Deconstruct complex SoC device trees and translate hardware descriptions into structured internal models for automated reasoning
- Partner with the ML team to shape data and annotation models for AI-driven data-extraction tooling
Qualifications
- 5+ years of experience in embedded systems development, including bare-metal and RTOS-based systems
- Proficiency in C/C++
- Familiarity with firmware configuration, SoC bring-up, and system-level debugging
- Hands-on experience with code generation tools, or low-level compiler/decompiler/emulator technologies
- Strong background in embedded toolchains: compilers, linkers, debuggers, and build systems
- Python or scripting for automation and tooling is a plus
- Experience with functional-safety standards is a plus
Why embedd.it?
- Dynamic, venture-backed team of engineers challenging the status quo 🚀
- Work at the intersection of embedded systems, code generators, compilers, and ML 🤖
- Unusual challenges requiring out-of-the-box abstract thinking 🧠
- Competitive compensation: cash + equity 💰
- Remote work possible 🌍
About Us
embedd.it is a UK-based startup reinventing embedded development. Our platform transforms unstructured semiconductor data into structured digital twins, enabling automatic generation of drivers, tests, and documentation. We're building a single, traceable source of truth to make integration fast, vendor-agnostic, and future-proof.
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Employment
⏱︎ full-time
-
Experience
🧙♂️ mid-level
-
Salary
💰 100000
-
Working model
hybrid
-
Skills
-
Industry
-
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