
AI processors and RISC-V computing
Physical Design Engineer: Die-to-Die Interface (RTL to GDSII)
必須スキル
Python
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 a highly skilled Physical Design Engineer to drive the critical Die-to-Die (D2D) Physical Implementation from RTL to GDSII. This role demands deep expertise in full physical design flow with a specific focus on closing high-speed D2D interfaces for multi-die/chiplet architectures.
This role is remote role open to any location in the U.S.
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
-
A seasoned ASIC Physical Design Engineer with 5+ years at advanced nodes (7nm or below) and multiple successful tapeouts.
-
Strong in full-chip implementation, comfortable owning blocks from RTL to GDSII across synthesis, floorplanning, place-and-route, CTS, and sign-off.
-
Deeply familiar with high-speed interfaces (D2D, PCIe, HBM, Ser Des) and the physical challenges that come with them (timing, signal integrity, power integrity).
-
Detail-oriented and methodical with STA, constraints, and closure for complex, high-speed designs.
-
A hands-on problem solver who enjoys collaborating across analog, digital, and full-chip teams to debug tough issues.
What We Need
-
Lead Die-to-Die (D2D) physical implementation and closure, taking high-speed D2D PHYs/controllers from netlist to tapeout.
-
Own the full PD flow (RTL-to-GDSII): synthesis, floorplanning, P&R, CTS, optimization, and sign-off.
-
Drive timing and verification, including full STA (setup/hold), SI analysis (crosstalk, IR drop), and achieving sign-off quality DRC/LVS.
-
Improve and maintain physical design methodologies, flows, and automation scripts (Tcl, Python), with specific focus on D2D routing, power grid design, and timing closure.
-
Partner closely with full-chip/chiplet teams to meet all tapeout requirements and with the analog design team to resolve interface issues (LEF/LIB, constraints, integration/debug).
-
Apply strong EDA tool expertise across Synopsys/Cadence/Mentor for implementation, analysis, and verification.
-
Bring a solid academic foundation: B.S./M.S. in EE/CE or related field.
What You’ll Learn
-
How to implement and close cutting-edge D2D interfaces in advanced multi-die/chiplet architectures.
-
Advanced strategies for co-optimizing routing, power grid, and timing for high-speed links across dies.
-
Deeper integration techniques working with analog PHY teams, including model handoff (LEF/LIB) and constraint-driven interface design.
-
How to drive repeatable, scalable PD methodologies for high-speed interfaces that can be leveraged across future chiplets and products.
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 position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. *
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.
閲覧数
0
応募クリック
0
Mock Apply
0
スクラップ
0
類似の求人

Electrical Designer
Moog · Mineral Wells, TX

PCB Designer (Starlink)
SpaceX · Redmond, WA

Aerothermal/Turbine Design Engineer Level 2/3
Northrop Grumman · United States-California-Sunnyvale

Electrical Engineer, Avionics Design
Anduril · Costa Mesa, California, United States

Circuit Card Design Engineer Orlando, Florida
Lockheed Martin · orlando
Tenstorrentについて

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
従業員数
Toronto
本社所在地
$2.6B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.2
報酬
2.8
企業文化
4.1
キャリア
3.4
経営陣
4.2
72%
知人への推奨率
良い点
Supportive management and strong leadership
Great team culture and fantastic colleagues
Cutting-edge technology and challenging projects
改善点
Heavy workload and frequent overtime
Fast-paced and stressful environment
Below industry standard salary
給与レンジ
24件のデータ
Director
Director · DIRECTOR, DESIGN FOR TEST ENGINEERING
1件のレポート
$382,588
年収総額
基本給
$294,299
ストック
-
ボーナス
-
$382,588
$382,588
最新情報
Tenstorrent Previews Large Compute Cluster, Generates Video Faster Than Real Time - EE Times
EE Times
News
·
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
·
6w ago
·
28
·
7