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Full-Time

Sr. Software Engineer

AI Compiler

Confirmed live in the last 24 hours

Tenstorrent

Tenstorrent

201-500 employees

Develops AI/ML hardware accelerators and software

AI & Machine Learning
Hardware

Senior, Expert

Toronto, ON, Canada

This role is hybrid, requiring in-office presence in Toronto.

US Citizenship Required

Category
Backend Engineering
Embedded Engineering
FinTech Engineering
Software Engineering
Required Skills
Python
Data Structures & Algorithms
Requirements
  • BSc, MSc or PhD in Electrical/Computer Engineering or Computer Science
  • Familiarity with common AI/ML models, and basics of machine learning operations (matrix multiplications, convolutions, etc.)
  • Experience with algorithms, data structures, and software development in C/C++.
  • Expertise in Python.
  • 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
Responsibilities
  • Develop machine learning graph compiler
  • Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack
  • Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler
  • Integrate the Tenstorrent software into leading machine learning frameworks
  • Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications

Tenstorrent specializes in developing high-quality AI/ML accelerators, including individual PCIe cards, workstations, servers, and ultra-dense Galaxy pods, featuring industry-standard chiplets and a modular RISC-V CPU. Their products also incorporate a BUDA software framework designed for open-source collaboration, enabling efficient and scalable hardware for deep learning applications.

Company Stage

Series C

Total Funding

$334.5M

Headquarters

Toronto, Canada

Founded

2016

Growth & Insights
Headcount

6 month growth

15%

1 year growth

39%

2 year growth

125%
Simplify Jobs

Simplify's Take

What believers are saying

  • The launch of next-generation Wormhole-based developer kits and workstations could attract a significant developer community, driving innovation and adoption.
  • Collaborations with industry giants like Hyundai and Rapidus indicate strong growth potential and access to advanced manufacturing technologies.
  • The introduction of specialized AI inference acceleration boards like the Grayskull e75 and e150 can capture a niche market in AI and machine learning applications.

What critics are saying

  • The competitive landscape in AI hardware is intense, with major players like NVIDIA and Intel posing significant challenges.
  • Dependence on strategic partnerships for advanced manufacturing and technology development could lead to vulnerabilities if these partnerships falter.

What makes Tenstorrent unique

  • Tenstorrent's use of RISC-V architecture in their AI processors offers a unique alternative to traditional x86 and ARM architectures, providing flexibility and open-source benefits.
  • Their focus on high-performance AI chips and scalable developer kits positions them as a key player in the AI hardware market, particularly for developers seeking robust multi-chip solutions.
  • Strategic partnerships with global entities like Rapidus and C-DAC enhance their capabilities in cutting-edge semiconductor technology and edge AI processing.