AI Hardware Design and Verification Internship
4 days ago
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.
At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams.
This role is on-site, full time, based in Belgrade, Serbia.
Responsibilities:
Implementation of Tenstorrent IP and SOC RTL logic in VerilogArchitecture exploration and modelingVerification of Tenstorrent's IP and SOC logic, using advanced verification methodologies - UVM, FPGA prototyping and emulationLow-level software for hardware testingPerformance and power verification and validation of Tenstorrent's IP and SOCBenchmark and analyze performance optimizationsExperience & Qualifications:
Strong analytical and problem-solving skillsKnowledge of Hardware Description Languages (Verilog/VHDL)Interest and knowledge of processor/computer architectureInterest and knowledge of the full ASIC design flow, including design, verification, synthesis, P&RC/C++ as well as scripting languages (C, C++, Python, Perl, tcl)Previous knowledge in following areas is a plus:- high frequency logic design,
- scalar and vector processor architecture,
- GPU architecture and programming models,
- digital signal processing hardware,
- SoC architecture,
- memory sub system architecture,
- real time hardware/firmware systems
- Understanding of deep learning concepts and familiarity with popular machine learning frameworks and models.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
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