採用

AI Subsystems Physical Design Lead
Austin, Texas, United States; Fort Collins, Colorado, United States; Santa Clara, California, United States
·
On-site
·
Full-time
·
2d ago
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 Physical Design Engineer to own timing for subsystems in an AI accelerator chip. You will collaborate with RTL designers during the exploration phase to assess buildability and PPA of micro-architectural features, develop timing constraints, and drive the transition to physical design implementation. Your responsibilities will include synthesis, place and route, timing analysis and closure, and power optimization. AI accelerators provide a wide design space, and you’ll play a key role in selecting micro-architecture design points that meet die-size and PPA goals
This role is hybrid, based out of Austin,TX or Santa Clara, CA or Fort Collins, CO.
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 hands-on engineer with deep expertise in SOC/ASIC physical design and a track record of successful tapeouts.
- Passionate about optimizing PPA through innovative implementation techniques and close RTL collaboration.
- Strong problem solver who excels at debugging complex issues across design hierarchies.
- Collaborative team player who thrives in fast-paced, technically challenging environments.
What We Need
- BS/MS/PhD in EE/ECE/CE/CS with proven experience in synthesis, PnR, and timing closure on taped-out designs.
- Expertise with industry-standard tools (Innovus, Prime Time, Red Hawk) and scripting languages (Tcl, Perl, Python).
- Deep understanding of advanced node challenges and low-power design techniques (power gating, multi-Vt, voltage scaling).
- Experience driving physical design requirements from early architecture through final signoff.
What You Will Learn
- How to implement cutting-edge AI accelerators and high-performance CPUs on the most advanced process nodes.
- Innovative PPA optimization techniques and methodologies for next-generation chiplet architectures.
- End-to-end ownership from flow development to signoff in collaboration with architecture and IP teams.
- Direct impact on products that are redefining the landscape of AI and high-performance computing.
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.
総閲覧数
0
応募クリック数
0
模擬応募者数
0
スクラップ
0
類似の求人

Lead Software Engineer - Dexterous Manipulation
Apptronik · Austin, TX

Physical Design Lead - Custom Silicon Management
Apple · Austin, TX

Lead Software Engineer Data and Payments Data Platform
JPMorgan Chase · Austin, TX, United States, US

Lead Software Engineer
Visa · Austin

TECHNICAL LEAD L1
Wipro · Austin, United States
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
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
4.0
72%
友人に勧める
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
Staff/L6
Staff/L6 · Staff Field Application Engineer
1件のレポート
$261,520
年収総額
基本給
$201,323
ストック
-
ボーナス
-
$261,520
$261,520
ニュース&話題
Former Tenstorrent Execs Launch AI& to Build Japan’s Full-stack AI Infrastructure - EE Times Asia
EE Times Asia
News
·
1w ago
Ex-Tenstorrent Execs Start Cloud Provider, AI Lab in Japan - EE Times
EE Times
News
·
3w 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
·
3w ago
·
28
·
7
These AI Workstations Look Like PCs but Pack a Stronger Punch - IEEE Spectrum
IEEE Spectrum
News
·
3w ago