Datacenter & Agentic AI Workload Performance Optimization Engineer
About this role
This position suits performance engineers with a background in runtimes, compilers, applications, and CPU microarchitecture who want to optimize software for RISC-V platforms. The role is based out of North America with remote work options and targets candidates across multiple experience levels.
Role Overview
Tenstorrent seeks a Datacenter & Agentic AI Workload Performance Optimization Engineer to enhance software workloads operating on next-generation RISC-V architectures. The position centers on identifying operational bottlenecks and implementing improvements across runtime environments, compilers, and hardware interfaces.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Tenstorrent builds AI and RISC-V semiconductor technology, focusing on performance, ease of use, and cost efficiency across software models, compilers, platforms, networking, and hardware design.
How to Apply
Applicants should submit their application directly on the official Tenstorrent careers page.
Skills and tech stack
Questions candidates ask
Where is the position located?
The role is remote and based out of North America, with corporate locations including Santa Clara, California and Toronto, Ontario.
What qualifications are required for education?
A Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field is required.
What is the salary range for this role?
Compensation ranges from $100k to $500k, including base and variable components depending on experience, skills, education, background, and location.
Are specific programming languages required?
Yes, strong programming skills in Java, Python, C/C++, and RISC-V assembly are needed.
Are there any compliance requirements related to export laws?
Yes, employment is contingent upon the applicant's eligibility to access U.S. export-controlled technology and compliance with U.S. Export Administration Regulations.