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Full-Time

Staff Release Engineer

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

This role is hybrid, based out of Toronto, Austin, or Belgrade.

US Citizenship Required

Category
Software QA & Testing
Software Engineering
Required Skills
Git
Requirements
  • Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred.
  • 5+ years of experience in release engineering, software development, or related roles.
  • Strong understanding of release processes, including CI/CD pipelines, versioning strategies, and release branching models.
  • Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams and interact with customers.
  • Proven track record of driving continuous improvement and delivering results in a fast-paced, dynamic environment.
Responsibilities
  • Lead the release sign-off process ensuring all release criteria are met.
  • Collaborate with cross-functional teams for readiness assessment.
  • Own preparation and packaging of release binaries.
  • Implement automation for streamlining the packaging process.
  • Facilitate release of source code updates on GitHub with compliance checks.
  • Maintain version control and document release notes.
  • Gather customer feedback and address reported issues.
  • Act as primary point of contact for customer problem resolution.
  • Work with QA teams to qualify releases through testing.
  • Develop and execute test plans for release stability and performance.

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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