Principal Compiler Engineer @ Tenstorrent

INACTIVE

Full-Time

Principal Compiler Engineer

Posted on 7/19/2023

Tenstorrent

201-500 employees

Builds next-generation computers for AI applications

Hardware

AI & Machine Learning

Senior, Expert

Santa Clara, CA, USA

Required Skills

Python

Tensorflow

Data Structures & Algorithms

Pytorch

Requirements

BSc, MSc or PhD in Electrical/Computer Engineering or Computer Science
10+ years of experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well
Experience with machine learning frameworks such as TensorFlow and PyTorch

Responsibilities

Participate in the co-design of Tenstorrent's hardware and software stack
Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack
Collaborate with cross-functional teams to develop and implement compiler features, including optimization algorithms, code generation, and language front-ends
Work with customers and stakeholders to understand their needs and requirements and deliver high-quality solutions that meet those needs
Stay up-to-date with the latest research and trends in ML models and compiler technology, and incorporate these insights into our products

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.

We are seeking an experienced Principal Level Compiler Engineer with a strong focus on Machine Learning (ML) models to join our team. In this role, you will be responsible for developing and optimizing ML models for our products, with a focus on improving performance and efficiency. You will collaborate with cross-functional teams to develop and implement compiler features, including optimization algorithms and code generation.

Responsibilities

Participate in the co-design of Tenstorrent’s hardware and software stack
Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent’s hardware and software stack
Collaborate with cross-functional teams to develop and implement compiler features, including optimization algorithms, code generation, and language front-ends
Work with customers and stakeholders to understand their needs and requirements and deliver high-quality solutions that meet those needs
Stay up-to-date with the latest research and trends in ML models and compiler technology, and incorporate these insights into our products

Experience & Qualifications

BSc, MSc or PhD in Electrical/Computer Engineering or Computer Science
10+ years of experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well
Experience with machine learning frameworks such as TensorFlow and PyTorch
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

Location:

Santa Clara / Hybrid

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

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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