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Full-Time

Principal Systems Software 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

Expert

Toronto, ON, Canada + 2 more

US Citizenship Required

Category
Embedded Engineering
Software Engineering
Required Skills
Rust
Python
Data Structures & Algorithms
Operating Systems
Linux/Unix
Requirements
  • Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent work experience.
  • Strong debugging, problem-solving, and analytical skills.
  • Excellent communication and teamwork abilities.
  • Proven experience in delivering complex system software products to customers and internal stakeholders.
  • 10+ years of professional experience in system software engineering.
  • Solid understanding of RISC-V architecture and instruction set is a plus.
  • Experience with product development of embedded software and real-time solutions is a plus.
  • Strong coding skills in C/C++ and one or more of Python, Rust or Go.
  • Familiarity with AI and ML algorithms, frameworks, and libraries.
  • Experience with Linux kernel development and device driver programming.
  • Experience with UEFI, EDK2/Tianocore and ACPI is a plus.
  • Experience with AI accelerators and HW/SW co-design is a plus.
  • Previous management experience is a plus.
Responsibilities
  • Design, develop, and optimize system software for RISC-V-based AI and ML systems.
  • Collaborate with cross-functional teams to define software requirements and specifications.
  • Collaborate with the broader open-source community on shared solutions and contributions.
  • Develop and maintain software stacks, including Operating Systems, drivers, firmware, and libraries, to support our hardware platforms.
  • Implement and optimize system software, and contribute to AI/ML workload optimization.
  • Participate in the HW/SW co-design and review process for architecture and products designs.
  • Troubleshoot and resolve software and system-level issues.
  • Develop and maintain software development processes, tools, and methodologies to ensure high-quality code and timely delivery.
  • Stay up-to-date and engaged with the latest industry trends and advancements in RISC-V, AI, and ML technologies.

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.