Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
We are seeking an experienced SoC performance architect for our fast-growing automotive SoC developments. In this role you will drive the hardware architecture specification for Tenstorrent automotive ML chiplets. You will work closely with cross-functional teams, including hardware engineers, software developers, and system architects, to ensure successful development of automotive ML chiplets.This role is
Remote, based out of The United States.
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.
Responsibilities:
- Write detailed specifications for automotive ML chiplets / SoCs.
- Present the architecture to internal stakeholders and customers.
- Propose new features that enhance performance, power and area (PPA).
- Ensure that devices meet the reliability and safety requirements for an automotive product.
- Gather and track requirements and features and drive these to successful completion.
- Develop performance use-cases and work with modelling teams to understand bottlenecks.
- Work closely with implementation teams to provide architectural guidance throughout the project.
Experience & Qualifications:
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. A Ph.D. is a plus.
- Solid understanding of ML accelerator architectures and trade-offs.
- Knowledge of ML accelerator design trade-offs that affect memory bandwidth and compute needs.
- High level understanding of networks for LLM, Vision and point cloud data.
- Understanding of differences between GPU versus custom ML accelerators.
- High level understanding of ML frameworks and the underlying software stack.
- Solid understanding of computer architecture, interconnects and memory system behaviour
- Experience with functional safety / ISO26262 is a strong plus.
- Experience with AEC-Q100/104 and automotive device reliability is a plus.
- Strong problem-solving skills and the ability to analyse complex system-level issues.
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
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, 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.
