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Full-Time

Staff HR Analyst

Confirmed live in the last 24 hours

Tenstorrent

Tenstorrent

201-500 employees

Develops AI/ML hardware accelerators and software

AI & Machine Learning
Hardware
Data & Analytics

Compensation Overview

$100k - $500kAnnually

+ Variable Compensation

Senior, Expert

Toronto, ON, Canada + 2 more

More locations: Austin, TX, USA | Santa Clara, CA, USA

Hybrid role based out of Santa Clara, CA; Austin, TX; and Toronto, ON.

US Citizenship Required

Category
Human Resources
People & HR
Required Skills
Communications
SQL
Human Resources Information System (HRIS)
Tableau
Greenhouse (ATS)
Data Analysis
Excel/Numbers/Sheets
Requirements
  • Minimum of 8 years of experience in HR and/or recruiting analytics roles.
  • Advanced proficiency in Google Sheets and/or Excel, and data visualization tools (Tableau, Looker, etc.).
  • Exceptional data and analytical skills with a passion for excellence, data accuracy and integrity, and the ability to translate data into actionable insights.
  • Strong sense of ownership, accountability and follow-up.
  • Deep expertise working within HR tools and systems with a keen sense of system and data interactions.
  • Proven capability in building HR-focused data models and forecasts.
  • Strong communication skills, including prompt and proactive reporting of status, issues, and progress and the ability to present complex data in a clear and concise manner.
  • Exceptional collaboration skills with the ability to create effective and successful working relationships across all levels of the organization.
  • Proven ability to lead and drive large-scale projects and processes.
  • Desire to grow into an HR Analytics leader.
  • Ability to work independently and as part of a team in a fast-paced environment.
  • Experience with Google Apps Script for automating tasks and workflows within Google Sheets/Google Workspace.
  • Experience with SQL for data extraction, staging, and manipulation.
  • Experience with Python for data analysis, automation, and creation of repeatable processes.
  • Familiarity with predictive analytics and advanced statistical analysis.
Responsibilities
  • Gather and analyze HR data, including employee metrics, compensation, recruitment, opinion survey, and performance data, to identify trends and provide actionable insights using various methods of data mining, analysis, forecasting, and modeling. Act as a strategy developer and connector between data and business needs by partnering with finance and other operational functions to drive coordinated data and analytic efforts that support overarching business goals.
  • Create and maintain HR dashboards, reports, and presentations to communicate key findings and recommendations to HR leaders and business stakeholders. Help define the data and tooling infrastructure required to accomplish these things by leveraging existing data engineering expertise and a readiness to learn new data analysis and visualization tools (Tableau, Looker, etc.).
  • Assist in the management and optimization of HRIS and other HR-related systems, ensuring data integrity and accuracy.
  • Support workforce planning efforts by analyzing current and future staffing needs, turnover rates, and other relevant metrics. Act as the team expert on the Rippling headcount management module by optimizing our configuration and its integration with Greenhouse.
  • Work with HR and cross-functional teams to identify opportunities for process improvements based on data insights and industry best practices, then drive change accordingly.
  • Support the HR team in building their skills in workforce analytics and planning through formal and informal training sessions. Provide communication and learning opportunities that activate employees and managers in the utilization of new HR tools and systems.
  • Ensure that HR data is handled in compliance with company policies and legal requirements, and assist in identifying potential risks or areas for improvement.

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

19%

1 year growth

39%

2 year growth

125%
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.