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.
Tenstorrent is seeking an outstanding architect to evaluate and accelerate AI and high-performance computing applications across our platforms. In this role, you will profile, analyze, and optimize cutting-edge models, influencing the next generation of architectures that meet the demands of future computing.
This role is remote, based out of Taiwan.
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.
Who You Are
- PhD or Master’s degree in Compute Science, Applied Math or related science or engineering field of study (or equivalent experience).
- Strong proficiency in programming languages, particularly Python and C++.
- Deep understanding of AI/ML model architectures and their execution on hardware.
- Comfortable getting deep into CPU and accelerator architecture and micro-architecture.
- Curious, collaborative, and driven to solve hard problems across the software-hardware boundary.
What We Need
- Experience bringing up state-of-the-art AI/ML models (e.g. Llama, DeepSeek, Qwen) on new hardware platforms.
- Profile and identify performance bottlenecks and guide architectural design and system optimization.
- Apply model optimization techniques (e.g. quantization, sparsity, attention) and other software and hardware features to improve performance and efficiency.
- Stay updated on the latest trends and advancements in AI/ML technology, integrating new ideas into Tenstorrent’s software and hardware solutions.
What You Will Learn
- How Tenstorrent is building next-gen AI infrastructure from silicon to scale.
- Techniques to optimize data movement and compute across heterogenous architectures.
- How to scale large models efficiently on platforms built specifically for AI
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.
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.
