
AI processors and RISC-V computing
Sustaining Test Engineer
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.
Sustaining Test Engineer providing on-site support at our OSAT partners in Taiwan. This engineer will be the primary technical interface for production test operations, driving yield improvements, resolving manufacturing issues, and ensuring successful deployment of test solutions across all test insertions.
This role is hybrid, based in Taiwan with regular presence at OSAT facilities.
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 hold a BS/MS in EE/ECE/CE and have 5+ years of experience in semiconductor test engineering.
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You have hands-on ATE experience with Teradyne and/or Advantest platforms, ideally across wafer probe, package test, and system-level test.
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You are a strong debugger across hardware, software, and DUT interfaces, comfortable working independently in a fast-paced production environment.
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You communicate clearly with both HQ and OSAT teams, and are fluent in Mandarin with strong English proficiency.
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Experience with advanced packaging and/or automotive quality (AEC-Q100/Q104) is a strong plus.
What we need
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An on-site engineering owner at OSAT to support yield issues, production debug, and NPI-to-volume ramp for multiple products.
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A test expert to validate, deploy, and maintain test programs for wafer sort, package test, and SLT, and to coordinate hardware maintenance, calibration, and equipment qualification with OSAT.
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Someone who can analyze large volumes of test data, perform yield and statistical analysis, and drive data-based decisions on test coverage, yield, and cost.
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A quality-focused engineer familiar with ISO 9001, IATF 16949, AEC-Q100/Q104, and 8D/CAPA, able to lead RMA and customer return investigations to closure.
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A proactive problem-solver who can manage business continuity (equipment failures, material shortages, capacity constraints) and drive quality containment for test escapes and new failure mechanisms.
What you will learn
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How to scale complex products in high-volume OSAT environments, owning the full loop from test program bring-up to mature production.
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Advanced techniques in test coverage optimization, yield improvement, and cost reduction across wafer, package, and system-level test insertions.
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Practical application of automotive and advanced packaging quality flows, including reliability testing and JEDEC qualification in a production context.
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How to operate as a bridge between HQ product/test engineering and OSAT operations, influencing decisions on design-for-test, test strategy, and quality.
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Best practices in building institutional knowledge: documenting failure modes, debug methodologies, and structured improvement plans that shape future product generations.
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