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Full-Time

Staff Security Software Engineer

Platform

Confirmed live in the last 24 hours

Tenstorrent

Tenstorrent

201-500 employees

Develops AI/ML hardware accelerators and software

AI & Machine Learning
Hardware

Compensation Overview

$100k - $500kAnnually

+ Variable Compensation

Senior

Toronto, ON, Canada + 2 more

More locations: Austin, TX, USA | Santa Clara, CA, USA

Hybrid role based out of Santa Clara, CA, Austin, TX, or Toronto, ON.

US Citizenship Required

Category
Security Engineering
Software Engineering
Required Skills
Rust
Python
Requirements
  • Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent work experience.
  • 8+ years of experience in platform security software engineering.
  • In-depth knowledge of secure boot and firmware update mechanisms.
  • In-depth knowledge of TEE and confidential computing solutions.
  • Experience developing and implementing secure communication protocols.
  • Experience conducting security assessments and risk analysis.
  • Strong coding skills in C/C++ and one or more of Python, Rust or Go.
  • Excellent communication and collaboration skills.
  • Knowledge of RISC-V architecture is a plus.
Responsibilities
  • Designing and implementing secure boot, key management and firmware update mechanisms.
  • Developing and implementing secure communication protocols.
  • Designing and implementing full life cycle product management.
  • Creating and maintaining security documentation and procedures.
  • Providing guidance to development teams on secure coding practices.
  • Keeping up-to-date with the latest security threats and countermeasures.
  • Collaborating with the broader industry on standardized approaches for security solutions on RISC-V, including standard TEE environments.
  • Collaborating with third-party security experts to ensure the highest level of security for our platform.

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.