Field Application Engineer @ Tenstorrent

INACTIVE

Full-Time

Field Application Engineer

Tenstorrent

201-500 employees

Builds next-generation computers for AI applications

Hardware

AI & Machine Learning

Junior, Mid, Senior

Austin, TX, USA

Required Skills

Python

Git

Data Structures & Algorithms

C/C++

Requirements

Background in Electrical/Computer Engineering, Computer Science, Machine Intelligence, Engineering Science, or Math
Proven experience as a Machine Learning Engineer or similar role (a fleshed-out GitHub repo a plus)
Experience with algorithms, data structures, and software development in Python and C/C++
Deep knowledge of math, probability, statistics and algorithms
Experience in solving business problems with Machine Learning models

Responsibilities

Work with the customer-facing team to support clients with their ML models on Tenstorrent hardware
Designing and developing demonstration machine learning and deep learning systems
Running machine learning tests and experiments on behalf of customers
Benchmarking models
Implementing appropriate ML algorithms
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Develop novel ML models and primitives that take advantage of Tenstorrent's breakthrough architecture to deliver orders of magnitude performance & efficiency improvements

Desired Qualifications

Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus

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 experienced Machine Learning Field Application Engineer 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, and enjoy working with other people, this is your opportunity to be at the bleeding edge of AI processing. You’ll get exposure to a broad array of problem types from different industries and be at the forefront of our customer engagements.

Responsibilities

Work with the customer-facing team to support clients with their ML models on Tenstorrent hardware
Designing and developing demonstration machine learning and deep learning systems
Running machine learning tests and experiments on behalf of customers
Benchmarking models
Implementing appropriate ML algorithms
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Develop novel ML models and primitives that take advantage of Tenstorrent’s breakthrough architecture to deliver orders of magnitude performance & efficiency improvements

Experience & Qualifications

Background in Electrical/Computer Engineering, Computer Science, Machine Intelligence, Engineering Science, or Math;
Proven experience as a Machine Learning Engineer or similar role (a fleshed-out GitHub repo a plus)
Experience with algorithms, data structures, and software development in Python and C/C++.
Deep knowledge of math, probability, statistics and algorithms
Experience in solving business problems with Machine Learning models
Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus

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 sanctioned by the U.S. government.

As this position will have direct and/or indirect access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

Tenstorrent

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Website

View Company Profile

Tenstorrent, a global leader in AI computing, offers a unique work environment that fosters collaboration among experts in computer architecture, ASIC design, advanced systems, and neural network compilers. The company's competitive edge lies in its scalable RISC-V design, a testament to its commitment to technical innovation. With a diverse and inclusive culture spread across offices in Canada, the U.S., Belgrade, and Bangalore, Tenstorrent provides ample opportunities for growth and learning in the rapidly evolving AI industry.

Company Stage

Series C

Total Funding

$334.5M

Headquarters

Toronto, Canada

Founded

2016

Growth & Insights

Headcount

6 month growth

↑ 18%

1 year growth

↑ 72%

2 year growth

↑ 173%

INACTIVE