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Software Engineer, AI Compiler

TenstorrentBelgrade, SerbiaOnsite

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 and highly skilled Software Engineer with expertise in compilers and semiconductor technology to join our team. As a Software Engineer, AI Compiler Specialist, you will play a critical role in designing, developing, and optimizing compilers for cutting-edge semiconductor products. You will work closely with hardware engineers, software engineers, and other stakeholders to ensure the efficient and effective execution of compiler-related tasks.This role ison-site, based out of Belgrade, Serbia.

Responsibilities:


  • Develop machine learning graph compiler
  • BSc, MSc or PhD in Electrical/Computer Engineering or Computer Science
  • Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well
  • Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus
  • Participate in the co-design of Tenstorrent's hardware and software stack
  • Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack
  • Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler
  • Develop high-performance run-time engine
  • Integrate the Tenstorrent software into leading machine learning frameworks
  • Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications

Experience & Qualifications:


  • BSc, MSc or PhD in Electrical/Computer Engineering or Computer Science
  • Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well
  • Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus

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.As this position will have direct and/or indirect 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 supporting documentation will be required and considered as a condition of employment.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.

Life at Tenstorrent

At Tenstorrent, we are creating the next generation of high-performance processor ASICs, specifically engineered for deep learning and smart hardware. Our processor is designed to excel at both learning and inference, while being software-programmable to support future innovations in the field of machine learning. The processor's architecture easily scales from battery-powered IoT devices to large cloud servers, and surpasses today's solutions by several orders of magnitude in raw performance and energy efficiency. Our team, made up of alumni from hardware industry leaders like NVIDIA and AMD, is committed to providing the core hardware necessary to increase the pace of deep learning research and enable smart devices to live untethered from the power grid and the Internet. We are based in Toronto and proudly backed by Real Ventures, the Canadian VC of the Year two years running.
Thrive Here & What We Value* Innovation, collaboration, problem-solving* Competitive compensation package* Diverse team with varying seniorities* Hybrid work arrangement (Santa Clara, CA; Austin, TX)* Equal opportunity employer* Cutting-edge AI technology leadership* Passionate technologists in diverse teams* High performance RISCV CPU development
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