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 work on all aspects of performance modeling and analysis related to chiplet based Automotive SoCs. You will work closely with cross-functional teams, including hardware engineers, software developers, and system architects, to ensure that our target devices are performant.This role is
Remote, based out of The United States or the United Kingdom.
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:
- Gather, refine and document Computer Vision, Machine Learning and other automotive workloads
- Work with internal teams to map automotive workloads to Tenstorrent architecture.
- Run automotive ML workloads on performance models. Analyze and summarize results.
- Develop SoC and subsystem level performance use case descriptions.
- Develop models of interconnect and memory subsystem behavior for target workloads
- Analyze workload in detail and give guidance on improvements at both module and chip level.
- Create clear documentation of findings and recommendations for performance improvement.
- Present results to internal stakeholders and customers
- Participate in competitive analysis, comparing achieved performance to other industry solutions
Experience & Qualifications:
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. A Ph.D. is a plus.
- Strong expertise in C/C++ and Python based modeling for SoCs
- Solid understanding of at least 3 ML network architectures and their performance characteristics.
- Experience with running ML models on GPU architectures.
- Experience with CUDA / CUDNN / pytorch.
- Solid understanding of computer architecture, interconnects and memory system behavior
- Proven experience in modeling and analyzing complex workloads for SoCs.
- Strong problem-solving skills and the ability to analyze 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.
