Tenstorrent

Staff Field Application Engineer, Customer Success

US
USD 100k - 500k
Deep Learning Machine Learning Assembly PyTorch TensorFlow
Description

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 looking for an FAE Lead to support our growing customer base as they build Deep Learning models on Tenstorrent hardware. If you’re enthusiastic about Machine Learning, are a competent software engineer lead, and enjoy working with other people, this is your opportunity to be at the bleeding edge of AI processing. In this role, you will serve as the primary technical contact for our customers, working closely with application developers and serving as a trusted advisor to implement solutions using our products. Additionally, you will collaborate with internal teams including sales, product development, and business development to ensure customer success and contribute to the advancement of our AI software solutions.

This role is hybrid, based out of Santa Clara, CA.

 

Responsibilities:

  • Establish relationships with key customer engineering contacts and decision-makers
  • Technical engagement with customers from initial prospect to post-sales support.
  • Understand customer requirements, and deliver technical presentations, reports, documents, and technology demonstrations.
  • Support regional sales team in all sales and business development related activities.
  • Work closely with internal engineering teams to ensure that they are meeting the customers’ needs and be a conduit to the customer

 

Experience & Qualifications:

  • BS in Electrical Engineering or Computer Science.
  • Fluent in Chinese, either native or through education.
  • Prior experience as an FAE or in a customer facing technical support role.
  • Knowledge of embedded programming including Arm or RISC-V assembly code.
  • Deep understanding of AI/ML frameworks such as PyTorch and TensorFlow, with expertise in Generative AI and LLM applications preferred.
  • Familiar with CUDA or Graph Compilers 
  • Strong analytical and problem-solving skills.
  • Entitlement to work in the USA
  • Ability and willingness to travel, potentially up to 15% of the time

 

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.

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set  by the U.S. government.

Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government.  If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.

Tenstorrent
Tenstorrent
Artificial Intelligence (AI) Machine Learning Social Social Network Video Application Specific Integrated Circuit (ASIC) Artificial Intelligence (AI) Electronics Hardware Machine Learning Semiconductor

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