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Full-Time

Chip Architecture Security Engineer

Confirmed live in the last 24 hours

Tenstorrent

Tenstorrent

201-500 employees

Develops AI/ML hardware accelerators and software

Hardware
AI & Machine Learning

Compensation Overview

$100k - $500kAnnually

Mid, Senior

Remote in USA

US Citizenship Required

Category
Cybersecurity
IT & Security
Required Skills
Communications
Requirements
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field.
  • Demonstrated experience in hardware security design and implementation.
  • Knowledge of cryptographic algorithms and protocols.
  • Familiarity with security standards such as ISO 27001, Common Criteria, and FIPS.
  • Proficiency in hardware description languages (HDL) such as Verilog or VHDL.
  • Experience with security testing tools and methodologies.
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills.
Responsibilities
  • Developing and maintaining security protocols for a wide range of product lines.
  • Defining security architecture and participate in design tasks.

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

10%

1 year growth

30%

2 year growth

116%
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.