Signal Integrity Engineer

Reposted 22 Days Ago
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Santa Clara, CA
In-Office
100K-500K
Senior level
Hardware • Manufacturing
The Role
The Signal Integrity Engineer will design and validate high-speed interconnects for AI systems, focusing on signal integrity and cable specifications.
Summary Generated by Built In

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 seeking a senior electrical engineer to engineer and validate high speed interconnects in large AI systems. This role requires an understanding signal integrity of high speed links, passive and active copper cables, and optical transceivers at 100G, 400G, 800G and 1.6T rates. You will work closely with cross-functional team to develop AI inference and training cluster architectures and deployments for both internal and external customers.

This role is Hybrid, based out of Santa Clara, CA, Austin, TX, or Toronto, ON.

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.


Responsibilities:

  • Define and specify high speed interconnection between systems
  • Develop requirements and validation plans for interconnects 
  • Document topologies and cable requirements for clusters
  • Interface with industry suppliers and track roadmaps

Experience & Qualifications:

  • Bachelor’s or Master’s degree in Electrical Engineering 
  • 5+ years of experience high speed communication
  • Experience link & channel budget analysis
  • Experience with accelerated life testing, mating life, failure analysis
  • Experience with tools like Keysight ADS, VNAs, TDRs, BERTs and protocol analyzers
  • Experience in Cable specification and testing
  • Manufacturing /DFM / DTM experience a plus

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.

Top Skills

Berts
Keysight Ads
Risc-V
Tdrs
Vnas
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The Company
HQ: Toronto, ON
389 Employees
Year Founded: 2016

What We Do

Tenstorrent is a next-generation computing company that builds computers for AI.

Headquartered in Toronto, Canada, with U.S. offices in Austin, Texas, and Silicon Valley, and global offices in Belgrade and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, advanced systems, and neural network compilers.

Join us: www.tenstorrent.com/careers

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