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Full-Time

Sr. IP Product Manager

CPU/Systems

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

Senior, Expert

Santa Clara, CA, USA

US Citizenship Required

Category
Product Management
Product
Required Skills
Market Research
Sales
Marketing
Requirements
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
  • Proven experience in product management roles, specifically with CPU IP products and architectures such as Arm, RISC-V, x86, or GPU IPs and relevant AI technologies used in Inference and Training applications.
  • Strong understanding of the semiconductor industry, Compute and Accelerator IP market dynamics, and related technologies.
  • Demonstrated track record of successfully launching and managing complex IP products throughout their lifecycle.
  • Familiarity with industry standards, licensing models, and legal aspects related to CPU IP products.
Responsibilities
  • Develop and execute a comprehensive product strategy for Accelerated Compute IP products, aligning with overall company goals and market trends.
  • Conduct market research and competitive analysis to identify customer needs, market opportunities, and industry trends related to CPU IP products and AI.
  • Define product requirements, features, and roadmaps based on customer feedback, market insights, and latest technology developments.
  • Collaborate with engineering teams to ensure successful product development, providing clear product specifications, and overseeing the development process.
  • Work closely with the sales and marketing teams to develop go-to-market strategies, pricing models, and product positioning that maximize market penetration and revenue generation.
  • Develop strong relationships with key partners, to ensure access to the latest technologies and maintain a competitive edge.
  • Act as a product evangelist, representing the company at industry events, conferences, and customer meetings to showcase the value proposition of our CPU IP products.

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.