채용
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.
We are looking for a person ready to take up the challenge of working in a high-profile project where we design and integrate multiple chiplets into a System-in-package, in collaboration with external stakeholders. You will work with Tenstorrent worldwide experts and leaders in the USA, Japan and other countries, and help us make our IP even better. This is a CPU tech-leadership role focused on driving power analysis and projections for the development of CPU chiplet with an emphasis on power analysis. The role involves defining CPUrail planning while collaborating closely with SoC and Board teams. Responsibilities include optimizing the system PDN for Block rails, and managing the power vector plan for comprehensive coverage of Chip level. The position requires driving power analysis on RTL and Netlist using tools like Joules and Prime Power, working with RTL design, synthesis, and physical design teams to measure and optimize power, and evaluating new power optimization techniques at various design stages. Additionally, the role involves tabulating metrics results for analysis comparison and workingwith post-silicon teams to correlate projections with silicon power measurements.
This role is hybrid, based out of Tokyo, Japan
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:
- Extensive experience in power analysis and optimization for complex ASICs (typically 10+ years of ASIC or related design experience).
- Comfortable working across RTL, synthesis, and physical design stages, including low‑power implementation techniques and ECO‑based timing closure.
- Proficient with power analysis tools (e.g., Joules, Prime Power) and scripting (Tcl plus at least one of Python or similar).
- Strong analytical and problem‑solving skills, with clear written and verbal communication when collaborating across SoC, board, and post‑silicon teams.
- Nice to have: familiarity with UPF/CPF low‑power intent, Verilog/System Verilog, CPU micro‑architecture and its power challenges, and basic thermal analysis.
What We Need:
- Own power analysis and projections for the CPU chiplet, with emphasis on defining and tracking power metrics throughout the design cycle.
- Define and maintain the power vector plan for comprehensive chiplet‑level and chip‑level coverage.
- Drive power analysis on RTL and netlist using tools such as Joules and Prime Power, partnering with RTL design, synthesis, and physical design teams to measure and optimize power.
- Evaluate and propose new power optimization techniques at RTL, synthesis, and physical design stages, and implement changes via timing ECO and flow updates.
- Tabulate and compare power metrics and reports across design iterations, and work with post‑silicon teams to correlate projections with silicon measurements.
What You Will Learn:
- How to define and execute a power strategy for a 2nm CPU chiplet within a multi‑chiplet system‑in‑package, including rail planning and system‑level PDN optimization.
- Best practices for end‑to‑end power closure, from RTL through netlist and physical design, in collaboration with global RTL, SoC, and board teams.
- How to correlate pre‑silicon power models with real silicon behavior and feed lessons learned back into next‑generation CPU and SiP architectures.
- How Tenstorrent integrates CPU chiplets, AI accelerators, and board‑level power delivery into a cohesive high‑performance platform.
テンストレントジャパンについて
経済産業省を始めとする日本政府は予算、税制、政策のあらゆる面で世界と競争できるよう投資パッケージを準備しています。2024年にはテンストレントが持つ技術力、経験、人材が評価され、全国規模のプロジェクトを推進するための主要パートナーの 1 つに選ばれました。(詳細はこちらをご覧ください) 日本の半導体産業をより盛り上げるために様々な人材を募集しています。テンストレントジャパンや採用については人事担当(
[recruiting-jp@tenstorrent.com](mailto: recruiting-jp@tenstorrent.com))までご連絡ください。
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
3.8
10개 리뷰
워라밸
3.2
보상
2.8
문화
4.1
커리어
3.4
경영진
4.2
72%
친구에게 추천
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
뉴스 & 버즈
Tenstorrent Previews Large Compute Cluster, Generates Video Faster Than Real Time - EE Times
EE Times
News
·
5d ago
Former Tenstorrent Execs Launch AI& to Build Japan’s Full-stack AI Infrastructure - EE Times Asia
EE Times Asia
News
·
2w ago
Ex-Tenstorrent Execs Start Cloud Provider, AI Lab in Japan - EE Times
EE Times
News
·
4w 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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4w ago
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28
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7