EDA Tools & Design Automation Engineer

Tenstorrent

Santa Clara (CA)

A distancia

USD 100.000 - 500.000

Jornada completa

14 días+

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Descripción de la vacante

Tenstorrent is seeking an EDA Tools & Design Automation Engineer to own the EDA environment for its mixed-signal design teams. You will develop AI-enabled automation, primarily in Python, with Tcl or Cadence SKILL integration as needed, and partner with CAD to build scalable, reproducible workflows.

The role is remote, based in North America, with opportunities across experience levels and compensation aligned to interview level.

Formación

  • 5+ years of experience supporting, configuring, or automating semiconductor EDA tools in analog, mixed-signal, CAD, or methodology environments.
  • Strong Python engineer with experience in Tcl and/or Cadence SKILL, Linux-based EDA environments, and GUI or batch-flow integrations.
  • Experience with AI-assisted development tools and software best practices (version control, code review, testing, CI/CD, documentation).

Responsabilidades

  • Own the deployment, configuration, reliability, and evolution of the EDA environment for Tenstorrent’s mixed-signal design teams.
  • Develop, test, release, and support AI-enabled automation and workflows, primarily in Python, with Tcl or Cadence SKILL integrations as needed.
  • Partner with Design Automation and CAD to build workflows, configure tools and PDKs, qualify versions, and maintain reproducible environments.
  • Standardize automation conventions, interfaces, and data formats, and resolve tool, configuration, PDK, and workflow issues.

Conocimientos

Python
Tcl
Cadence SKILL
Linux
EDA tooling

Educación

Relevant degree or equivalent

Herramientas

Cadence
Synopsys
OpenAccess

Descripción del empleo

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 an EDA Tools & Design Automation Engineer to join the Mixed Signal Design Automation team. In this role, you will own the deployment, configuration, reliability, and ongoing evolution of the EDA tool environment used by our mixed-signal design teams. You will develop and maintain AI-enabled design-automation tooling; build automation using Python and EDA-specific scripting languages; partner with CAD on tool and PDK configuration; and help define and support scalable EDA flows that enable faster, more reliable mixed-signal design iteration.

This role is remote, based out of any location in North America.

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.

Who You Are
  • You have 5+ years of experience supporting, configuring, or automating semiconductor EDA tools in an analog, mixed-signal, custom-design, CAD, or methodology environment.
  • You’re a strong Python engineer with experience in Tcl and/or Cadence SKILL, Linux-based EDA environments, and GUI or batch-flow integrations.
  • You apply software best practices—including version control, code review, testing, CI/CD, documentation, and maintainable design—and have experience with AI-assisted development tools.
  • You’re analytical and collaborative, able to troubleshoot complex issues and work effectively with CAD, PDK, infrastructure, layout, and design teams. A relevant degree or equivalent practical experience is welcome.
What We Need
  • Own the deployment, configuration, reliability, and evolution of the EDA environment for Tenstorrent’s mixed-signal design teams.
  • Develop, test, release, and support AI-enabled automation and workflows, primarily in Python, with Tcl or Cadence SKILL integrations as needed.
  • Partner with Design Automation and CAD to build workflows, configure tools and PDKs, qualify supported versions, and maintain reproducible environments.
  • Help standardize automation conventions, interfaces, and data formats, and resolve tool, configuration, PDK, and workflow issues. Experience with Cadence and Synopsys custom flows, OpenAccess, verification, extraction, simulation, or Slurm/HPC is a plus.
What You Will Learn
  • How mixed-signal design teams use EDA tools and automation across the design lifecycle.
  • How to evolve AI-enabled workflows that support faster, more reliable design iteration.
  • How tool and PDK configurations, qualification, and reproducible environments enable scalable design flows.
  • How to balance standardization with flexibility across open-source, in-house, and commercial tools while collaborating across engineering teams.

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.

Tenstorter's 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.

Voluntary Self-Identification

As set forth in Tenstorter's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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