Tenstorrent is a computing company that develops processors designed to help in faster training and adaptability to future algorithms.
This company offers a hybrid work model combining remote and office work.
Tenstorrent pioneers AI hardware and software solutions, fundamentally transforming data processing and machine learning. You will build cutting-edge computing architectures for AI workloads, emphasizing open-source software and custom hardware. They serve a global community of AI developers and researchers. Tenstorrent has secured over $1.18 billion in funding, with a recent $693 million Series D round valuing the company at $2.6 billion. They also hold customer contracts worth nearly $150 million. They create industry-leading Blackhole AI chips and TT-QuietBox workstations, integrating RISC-V CPU technology with specialized AI accelerators. They license their advanced RISC-V CPU IP to major chip designers like Samsung and LG.
Tenstorrent fosters a culture of innovation, valuing curiosity, deep collaboration, and a commitment to solving complex problems. They are a team of diverse technologists passionate about AI, driven to build the best AI platform possible. You'll find yourself among first-principle thinkers who believe in an open future. Many roles are remote, allowing you to contribute from North America or Australia. For some roles, a hybrid model in Cyprus offers flexibility. This environment thrives on technical leadership and systems thinking.
Engineering at Tenstorrent means tackling the hardest problems in AI compute, from silicon up. You will design next-generation CPU and AI architectures, bridging software execution and silicon design. The team has developed a high-performance RISC-V CPU from scratch. Challenges include optimizing memory chiplet architectures, developing advanced memory technologies, and ensuring seamless integration across SoC design, verification, and physical design. You will define scalable system architectures, focusing on performance, safety, reliability, and security for applications like automotive AI. You'll work with cutting-edge tools, including AI-assisted design, to accelerate CPU development. This is where real ML/AI traffic patterns influence SoC interconnect and cache design.