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Knowledge Matrix Jobs in California (NOW HIRING)

Company Description About CLARE|MATRIX: CLARE|MATRIX is a nonprofit organization providing ... Knowledge of 12-Step Principles. * Knowledge of Medicare/Medi-Cal, commercial insurance, Covered ...

Company Description About CLARE/MATRIX: CLARE/MATRIX is a nonprofit organization providing ... Knowledge of 12-Step Principles. * Knowledge of Medicare/Medi-Cal, commercial insurance, Covered ...

Company Description About CLARE/MATRIX: CLARE/MATRIX is a nonprofit organization providing ... Knowledge, Experience & Skills: The ideal candidate will have Preferably have a minimum of a ...

Company Description About CLARE|MATRIX: CLARE|MATRIX is a nonprofit organization providing ... Knowledge, Experience & Skills: The ideal candidate will have Preferably have a minimum of a ...

Licensed Vocational Nurse

Santa Monica, CA · On-site

$30.75 - $41.50/hr

Company Description About CLARE/MATRIX: CLARE/MATRIX is a nonprofit organization providing ... maintaining knowledge of and act in accordance with current legal standards pertaining to ...

Licensed Vocational Nurse

Santa Monica, CA · On-site

$30.75 - $41.50/hr

Company Description About CLARE|MATRIX: CLARE|MATRIX is a nonprofit organization providing ... Clerical skills including knowledge of Microsoft Office A minimum of one year sobriety if ...

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Knowledge Matrix information

What is a knowledge matrix?

A Knowledge Matrix is a tool or framework used by organizations to identify, assess, and manage the skills and expertise of employees across various roles or departments. It typically presents a grid or table that maps required competencies against team members, helping to identify skill gaps, training needs, and areas of expertise. The Knowledge Matrix is commonly used in workforce planning, talent management, and project allocation to ensure the right people are assigned to the right tasks based on their knowledge and abilities.

What are the key skills and qualifications needed to thrive as a knowledge manager, and why are they important?

To thrive as a Knowledge Manager, you need expertise in information management, data organization, and relevant experience in knowledge-sharing processes, often supported by a degree in information science or a related field. Familiarity with knowledge management systems (KMS), content management platforms, and collaboration tools is typically required, along with certifications like Certified Knowledge Manager (CKM). Excellent communication, leadership, and analytical thinking are critical soft skills for promoting knowledge sharing and driving cultural change. These abilities are vital for ensuring effective knowledge transfer, improving organizational efficiency, and maintaining a competitive edge.

How does a knowledge management specialist typically collaborate with other departments to ensure effective information sharing?

A Knowledge Management Specialist frequently works with various teams—such as IT, HR, and operations—to design and implement systems that make information accessible and useful. Collaboration often involves conducting needs assessments, facilitating training sessions, and gathering feedback to improve knowledge repositories. These professionals also help establish best practices and workflows to encourage a culture of knowledge sharing throughout the organization. Strong communication skills and cross-functional teamwork are essential for success in this role.

What is the difference between Knowledge Matrix vs Data Analyst?

AspectKnowledge MatrixData Analyst
Required CredentialsTypically certifications in knowledge management, information systems, or related fieldsDegrees in statistics, data science, or related disciplines; often certifications in data analysis tools
Work EnvironmentCorporate knowledge management teams, consulting firms, or internal departmentsBusiness, finance, healthcare, or tech industries; often in office settings
Employer & Industry UsageUsed by organizations to organize and manage knowledge assetsUsed to analyze data, generate reports, and support decision-making

The Knowledge Matrix focuses on organizing and managing organizational knowledge assets, often requiring expertise in knowledge management systems. In contrast, Data Analysts primarily analyze data sets to extract insights, requiring skills in data manipulation and statistical tools. While both roles involve information handling, their core functions and skill sets differ significantly.

Infographic showing various Knowledge Matrix job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

CPU Microarchitect, Vector and Matrix Compute

Santa Clara, CA • On-site, Remote

$100K - $500K/yr

Full-time

Posted 5 days ago


Job description

Tenstorrent is seeking an experienced CPU Architect/Micro-Architect to drive the next generation of high-performance RISC-V CPU Vector (RVV), Floating Point, and Matrix extensions. In this role, you will drive both the architecture and micro-architecture of compute execution units and subsystems that enable the efficient execution of modern high-performance computing (HPC), and AI inference/training workloads. Working closely with architects, software teams, silicon designers, and external IP partners, you will translate HPC/AI workload requirements into scalable CPU architectures that optimize performance, power, and area (PPA) while enabling future HPC/AI computing platforms. This role is ideal for an architect/micro-architect who enjoys working across hardware and software boundaries, defining next-generation compute architectures, and shaping how CPUs and HPC/AI workloads work together.

This role is remote, based out of North America or Spain.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

  • Passionate about designing next-generation compute architectures for AI, HPC, and large-scale datacenter systems.
  • Experienced in CPU architecture with strong knowledge of AI acceleration, matrix math, floating point, and heterogeneous compute systems.
  • Comfortable making architectural decisions across CPU cluster and subsystems.
  • Collaborative technical leader who enjoys influencing cross-functional engineering teams.
  • Curious and driven to solve challenging performance, scalability, and system architecture problems.

What We Need

  • 5+ years of experience in CPU design for high-performance computing and AI acceleration.
  • Experience designing hardware for matrix floating-point computation, AI accelerators, vector processing, tensor engines, or machine learning workloads.
  • Knowledge of CPU architecture, memory hierarchy, data movement, cache coherency, and interactions between CPUs and AI accelerators.
  • Experience defining architectural specifications and leading cross-functional teams from concept through silicon implementation.
  • Experience with RTL development with cutting edge AI frontier models.

What You Will Learn

  • Design CPU compute that efficiently accelerates modern HPC/AI workloads through optimized matrix floating-point execution and heterogeneous compute architectures.
  • Gain deep expertise in the co-design of CPUs, AI accelerators, and memory subsystems.
  • Learn how large-scale HPC, and AI workloads influence hardware architecture, data movement, and system-level optimization.
  • Work alongside world-class CPU, AI, and system architects defining the future of open RISC-V computing and AI infrastructure.
  • RTL design with cutting edge AI frontier models.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.