
AI processors and RISC-V computing
Sr. Staff Engineer, Hardware Infrastructure Lead
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're looking for an Engineering Manager to lead our hardware infrastructure team supporting the development of leading-edge RISC-V CPUs. You'll manage a team responsible for the tools, methodologies, and compute infrastructure that enable our hardware design teams to build, verify, and debug complex CPU designs. This role requires both technical depth and strong leadership skills to build and scale a high-performing team in a fast-paced startup environment.
This role is hybrid based out of Austin, TX or Santa Clara, CA.
We welcome candidates at various experience levels. 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.
What You’ll Do
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Lead and grow a team of infrastructure engineers supporting RISC-V CPU design and verification.
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Define strategy and roadmap for regression infrastructure, build systems, and debug tooling.
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Partner closely with hardware design leadership to understand requirements and prioritize work.
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Oversee development and maintenance of CI/CD pipelines for hardware design flows.
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Establish team processes for incident response and first-line compute support.
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Drive continuous improvement in build times, regression throughput, and infrastructure reliability.
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Balance hands-on technical involvement with team development and strategic planning.
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Recruit, mentor, and develop engineers with diverse technical backgrounds.
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Communicate infrastructure status, roadmaps, and technical tradeoffs to stakeholders.
What You Bring
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3+ years of engineering management experience, preferably in hardware or infrastructure teams.
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Strong technical background in hardware design flows, verification, or related infrastructure.
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Experience with regression frameworks, build systems, and CI/CD methodologies.
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Understanding of compute infrastructure and HPC environments.
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Proven ability to build and scale high-performing technical teams.
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Strong collaboration and communication skills across engineering disciplines.
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Experience managing on-call rotations and support processes.
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Comfortable with ambiguity and rapid priority shifts in a startup environment.
Nice to Have
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Direct experience with RISC-V or CPU design flows.
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Background in EDA tools and verification methodologies.
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Experience with LSF or similar workload managers.
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Familiarity with commercial HPC storage solutions.
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Knowledge of containerization and automation technologies.
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Previous startup experience, especially in hardware or semiconductor companies.
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Technical depth in areas like System Verilog, Python, or hardware debug tools.
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
·
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