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Full-Time

Sr. Engineer

System Firmware

Confirmed live in the last 24 hours

Tenstorrent

Tenstorrent

201-500 employees

Builds advanced computers for AI applications

Hardware
Enterprise Software
AI & Machine Learning

Senior

Toronto, ON, Canada

Role is remote but primarily based out of Toronto, Canada.

US Citizenship Required

Category
Embedded Systems Engineering
Electrical Engineering
Required Skills
Python
Git
FreeRTOS
C/C++
Requirements
  • Bachelor or Master’s in Electrical or Computer Engineering with more than 5 years of experience
  • Superior analytical and problem-solving skills
  • Excellent programming skills in C, C++, and Python
  • Strong understanding of computer architecture and logic design
  • Experience in scripting and test automation
  • Good understanding of circuit design, power regulation, high speed signal propagation
  • Experience using lab equipment: high speed oscilloscopes, logic and protocol analyzers
  • Interest in and understanding of machine learning
  • Superior verbal and written communication skills
  • Ability to work cross functionally and drive issues to closure
  • Fluency with Git for source code management and feature-branch workflows
  • Extensive experience with at least one modern RTOS (e.g. Zephyr, NuttX, FreeRTOS)
  • Extensive experience with bare-metal programming, OS kernel development, and device drivers
Responsibilities
  • Execute ML processor, board, and system bring-up and validation.
  • Design, develop, and maintain system firmware for embedded devices and systems.
  • Work closely with our local CM partners on system and firmware requirements.
  • Build out CI/CD pipelines to ensure quality firmware deliverables
  • Architect and develop frameworks for automating post-silicon verification, data analysis, and debugging.
  • Drive issue debugging across all product life cycle phases: bring-up, validation, and production.
  • Review code from other engineers and provide mentorship if the opportunity arises.

Tenstorrent builds advanced computers specifically designed for artificial intelligence applications. Their products include high-performance computing systems that utilize specialized hardware and software solutions, focusing on technologies like ASIC design and RISC-V architecture. Unlike many competitors, Tenstorrent emphasizes a combination of computer architecture expertise and neural network compilers to optimize performance for AI tasks. The company's goal is to advance the capabilities of AI computing, serving clients in the AI and computing sectors while generating revenue through the sale of their systems and services.

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

115%
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.

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