
AI processors and RISC-V computing
Memory Architect
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 isremote 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
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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.
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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.
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You are a collaborative team player with excellent communication skills and a history of mentoring junior engineers.
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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
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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.
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Explore and evaluate next-generation memory technologies, analyzing trade-offs across key metrics like bandwidth, latency, and power to develop a strategic roadmap.
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Develop and own a detailed performance and power modeling infrastructure to enable data-driven decisions for high-throughput, low-latency memory architectures.
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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
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How to lead architectural decisions and drive alignment across IP, SoC, and system software teams in a fast-paced and rapidly growing environment.
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How complex chiplets are brought to life, from architecture specifications all the way to silicon fabrication, packaging, and mass production.
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How Tenstorrent is designing next-generation chiplet-based So Cs that unify AI, CPU, Memory, I/O, and scale-out elements.
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How to optimize data movement across the entire software-hardware stack.
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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.
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Tenstorrent 소개

Tenstorrent
Series CTenstorrent is a semiconductor company that develops AI accelerator chips and software for machine learning workloads. The company focuses on creating scalable processor architectures for data centers and edge computing applications.
201-500
직원 수
Toronto
본사 위치
$2.6B
기업 가치
리뷰
10개 리뷰
3.8
10개 리뷰
워라밸
3.2
보상
2.8
문화
4.1
커리어
3.4
경영진
4.2
72%
지인 추천률
장점
Supportive management and strong leadership
Great team culture and fantastic colleagues
Cutting-edge technology and challenging projects
단점
Heavy workload and frequent overtime
Fast-paced and stressful environment
Below industry standard salary
연봉 정보
24개 데이터
Staff/L6
Staff/L6 · Staff Field Application Engineer
1개 리포트
$261,520
총 연봉
기본급
$201,323
주식
-
보너스
-
$261,520
$261,520
최근 소식
Tenstorrent Previews Large Compute Cluster, Generates Video Faster Than Real Time - EE Times
EE Times
News
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2w ago
Former Tenstorrent Execs Launch AI& to Build Japan’s Full-stack AI Infrastructure - EE Times Asia
EE Times Asia
News
·
4w ago
Ex-Tenstorrent Execs Start Cloud Provider, AI Lab in Japan - EE Times
EE Times
News
·
6w ago
Interview with Toloka CEO (in Russian)
If you happen to understand Russian, here is a 2h interview with Toloka CEO Olga Megorskaya. Few things that I noted: * Industry is called Human Data, the biggest competitor is Scale AI. Basically they know how to produce human-generated data of a high quality that is used to train/post-train AI. These days it's a highly skilled people, sometimes with PhDs or many years of experience, but humans are unreliable, don't follow instructions, etc. - so it is a challenge to produce high quality data
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6w ago
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28
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7