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 at the forefront of AI technology, building next-generation computers where memory is a key component. We're seeking an innovative Memory Architect to push the boundaries of our memory chiplet architecture for AI and CPU applications. You'll work closely with fellow architects, cross-functional teams, and external partners to explore advanced memory technologies.
This role is remote or hybrid, based out of North America or South Korea.
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
- You have a deep understanding of JEDEC standard DRAMs (GDDR, HBM, LPDDR, DDR) and their specifications.Experience with 3D-stacking, advanced packaging, custom memory, DFI, die-to-die interfaces, storage, and I/O protocols is a huge plus.
- You bring 10+ years of experience in memory system architecture, scheduling algorithms, and controller architecture exploration and design. You have hands-on experience building performance/power simulators or developing memory IPs in HDL. A deep understanding of memory reliability and security is a strong plus.
- You are a collaborative team player with excellent communication skills and a history of mentoring junior engineers.
- A PhD with a focus on computer architecture or a strong research background (or a publication track record) is a strong plus.
What We Need
- Define the architecture and micro-architecture specifications for memory and I/O chiplets, focusing on state-of-the-art memory technology for AI and CPU applications.
- Explore and evaluate next-generation memory technologies, analyzing trade-offs across key metrics like bandwidth, latency, and power to develop a strategic roadmap.
- Develop and own a detailed performance and power modeling infrastructure to enable data-driven decisions for high-throughput, low-latency memory architectures.
- Work closely with SoC design/verification, physical design, packaging, and systems engineering teams to ensure seamless integration. You will also communicate frequently with external partners and customers.
What You Will Learn
- How to lead architectural decisions and drive alignment across IP, SoC, and system software teams in a fast-paced and rapidly growing environment.
- How complex chiplets are brought to life, from architecture specifications all the way to silicon fabrication, packaging, and mass production.
- How Tenstorrent is designing next-generation chiplet-based SoCs that unify AI, CPU, Memory, I/O, and scale-out elements.
- How to optimize data movement across the entire software-hardware stack.
- You will exchange your expertise in the memory subsystem with fellow expert architects in AI, CPU, fabric, security, power, reliability, debug, system design, and scale-out.
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.
Skills Required
- Deep understanding of JEDEC standard DRAMs (GDDR, HBM, LPDDR, DDR) and their specifications.
- 10+ years experience in memory system architecture, scheduling algorithms, and controller architecture exploration and design.
- Hands-on experience building performance/power simulators or developing memory IPs in HDL.
- Experience collaborating with SoC design/verification, physical design, packaging, and systems engineering teams and communicating with external partners.
- Eligibility to access U.S. export-controlled technology (citizenship/permanent residency or ability to obtain required licenses).
- Experience with 3D-stacking, advanced packaging, custom memory, DFI, die-to-die interfaces, storage, and I/O protocols.
- Deep understanding of memory reliability and security.
- PhD in computer architecture or strong research/publication track record.
- Collaborative team player with excellent communication skills and history of mentoring junior engineers.
What We Do
Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in Toronto, Canada, with U.S. offices in Austin, Texas, and Silicon Valley, and global offices in Belgrade and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, advanced systems, and neural network compilers. Join us: www.tenstorrent.com/careers
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