Full-Time

Sr Staff Engineer

SOC Top/Debug Implementation

Confirmed live in the last 24 hours

Tenstorrent

Tenstorrent

501-1,000 employees

Builds advanced computers for AI applications

Hardware
Enterprise Software
AI & Machine Learning

Compensation Overview

$100k - $500kAnnually

Senior

Boston, MA, USA + 3 more

More locations: Toronto, ON, Canada | Austin, TX, USA | Ottawa, ON, Canada

This role is hybrid, based out of Toronto (ON), Ottawa (ON), Boston (MA), or Austin (TX).

US Citizenship Required

Category
Hardware Engineering
Hardware Validation & Testing
System Hardware Engineering
Required Skills
Verilog
VHDL
Requirements
  • BS/MS/PhD in EE/ECE/CE/CS or a related field with 5+ years of experience in SOC design and implementation, focusing on debug architecture.
  • Proven experience in SOC debug architecture design, including defining and implementing top-level debug and trace solutions for complex SOCs.
  • Strong knowledge of JTAG, trace modules, and debug controllers and experience working with industry-standard debug and test protocols.
  • Experience working across multiple chiplets in a large-scale SOC, with a focus on implementing debug solutions that span multiple subsystems.
  • Deep understanding of hardware design, verification, and post-silicon validation processes, with experience troubleshooting complex SOC designs in a lab environment.
  • Familiarity with RTL design using Verilog/VHDL.
  • Excellent problem-solving and debugging skills, with experience working across multiple design hierarchies and subsystems.
  • Strong interpersonal and communication skills, with the ability to collaborate effectively across cross-functional teams.
  • Experience with AI or high-performance computing SOCs is a plus.
Responsibilities
  • Own and drive the debug solution and architecture across all chiplets within the SOC, from initial concept through to post-silicon bring-up and validation.
  • Define and implement top-level debug and trace architectures for high-performance SOCs, ensuring comprehensive visibility into SOC behavior and performance.
  • Work closely with cross-functional teams to define requirements for system-level debug features, including software and hardware integration.
  • Develop and implement debug interfaces, including JTAG, trace modules, and debug controllers, that enable detailed analysis and troubleshooting of SOC subsystems.
  • Collaborate with the design, verification, and post-silicon teams to ensure debug features are properly integrated and validated across all stages of development.
  • Optimize the debug infrastructure to minimize overhead and maximize performance while ensuring complete observability across the SOC.
  • Assist in post-silicon debug efforts, working closely with lab teams to bring up SOC designs and identify any system-level issues during validation.
  • Drive innovation in debug methodologies, ensuring that debug solutions are scalable, reusable, and robust across multiple product lines and generations of SOCs.
  • Support silicon bring-up, post-silicon validation, and manufacturing test efforts with debugging insights and solutions.

Tenstorrent builds advanced computers specifically designed for artificial intelligence applications. Their products include high-performance computing systems that utilize specialized hardware and software solutions, leveraging technologies like ASIC design and RISC-V architecture. Unlike many competitors, Tenstorrent focuses on optimizing their systems for AI workloads, which allows them to cater specifically to clients in the AI and computing sectors. The company's goal is to advance the capabilities of AI computing, making it more efficient and powerful for various applications.

Company Stage

Late Stage VC

Total Funding

$1.3B

Headquarters

Toronto, Canada

Founded

2016

Growth & Insights
Headcount

6 month growth

15%

1 year growth

38%

2 year growth

131%
Simplify Jobs

Simplify's Take

What believers are saying

  • Recent $693M funding supports expansion and innovation in AI hardware and software.
  • Partnerships with LG and Hyundai drive advancements in AI chips and autonomous vehicles.
  • Growing demand for AI training servers boosts Tenstorrent's market opportunities.

What critics are saying

  • Competition from Nvidia may limit Tenstorrent's market share and growth potential.
  • Reliance on partnerships could expose Tenstorrent to risks if collaborations falter.
  • Ambitious expansion plans may strain resources and lead to operational challenges.

What makes Tenstorrent unique

  • Tenstorrent leverages RISC-V technology for advanced AI hardware solutions.
  • The company focuses on open-source AI software stack development as a key differentiator.
  • Tenstorrent's global presence includes offices in major tech hubs like Silicon Valley and Tokyo.

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