Tenstorrent

👥 251-500💰 $100,000,000 over 1 year agoElectronicsArtificial Intelligence (AI)SemiconductorHardwareMachine LearningApplication Specific Integrated Circuit (ASIC)💼 Private Company
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Tenstorrent designs and manufactures cutting-edge processors for AI and deep learning, significantly boosting performance and efficiency across various applications from data centers to edge computing. We're revolutionizing the AI landscape by co-designing hardware, software, and algorithms, offering a unique and highly scalable architecture that outperforms traditional CPUs, GPUs, FPGAs, and TPUs. Our technology is already making waves in the industry, and we're backed by leading venture capital firms and industry luminaries. Our engineering teams leverage a robust tech stack, including RISC-V CPU architecture, Python, C/C++, and advanced RTL design methodologies. We foster a collaborative and innovative environment, encouraging curiosity and a passion for solving complex problems. We prioritize both performance and efficiency in our designs, focusing on optimizing power, area, and frequency. The flexible nature of our work arrangements allows for hybrid or fully remote positions, creating a truly global and inclusive team. Tenstorrent’s commitment to pushing the boundaries of AI performance is evident in our significant funding rounds and rapidly growing team. We're looking for talented individuals to join our mission-driven company, contribute to groundbreaking technology, and shape the future of AI. We offer a highly competitive compensation and benefits package and are an equal opportunity employer. Our recent partnerships and product launches highlight our significant progress and commitment to innovation. We are rapidly expanding and looking for individuals who are passionate about building the future of AI.

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🔥 Senior Engineer
Posted 12 days ago

📍 United States

🧭 Full-Time

💸 100000.0 - 500000.0 USD per year

🔍 AI Technology

  • Master’s degree in electrical engineering or related field
  • Knowledge of networking chip design
  • Proficiency in C/C++ programming
  • Understanding of ML/AI algorithms
  • Understanding of SOC fabric, memory, and accelerator technology
  • Collaborate with software and platform architecture teams
  • Identify application performance bottlenecks
  • Develop a cycle-accurate CPU model
  • Collaborate with RTL and Physical design engineers
  • Develop an architecture for glueless routing between chips

PythonArtificial IntelligenceMachine LearningC++

Posted 12 days ago
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