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Cvm Jobs in California (NOW HIRING)

$154K - $188K/yr

Own and evolve CVM-based verification methodology, infrastructure, and reusable testbench components. * Plan and drive functional verification for CPU core features, ISA behavior, and ...

Cvm information

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$8

$25

$60

How much do cvm jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for cvm in California is $25.79, according to ZipRecruiter salary data. Most workers in this role earn between $14.83 and $30.13 per hour, depending on experience, location, and employer.

What are some common challenges faced by CVM (Customer Value Management) professionals when implementing customer segmentation strategies?

CVM professionals often encounter challenges such as ensuring data quality and integrating information from multiple sources to create accurate customer segments. Another common issue is aligning segmentation strategies with overall business objectives and securing buy-in from cross-functional teams like marketing, sales, and IT. Additionally, personalizing offers based on segments while maintaining compliance with data privacy regulations can be complex. Overcoming these challenges typically requires strong analytical skills, collaboration, and adaptability to rapidly changing customer behaviors.

What is the difference between Cvm vs Veterinary Technician?

AspectCvmVeterinary Technician
CredentialsCertified Veterinary Medical Professional (CVM certification)Licensed Veterinary Technician (LVT) or Registered Veterinary Technician (RVT)
Work EnvironmentVeterinary clinics, hospitals, research labsVeterinary clinics, hospitals, animal shelters
Industry UsageUsed across veterinary medicine and researchPrimarily in clinical veterinary practice
Job ResponsibilitiesAssisting veterinarians, performing diagnostics, client communicationAnimal care, assisting in procedures, lab work

The main difference between a Cvm and a Veterinary Technician lies in their credentials and scope of practice. Cvm professionals often have specialized certifications and may work in research or advanced clinical roles, while Veterinary Technicians focus on hands-on animal care and assisting veterinarians in clinical settings. Both roles are essential in veterinary medicine but serve different functions based on their training and certification.

What are the key skills and qualifications needed to thrive as a Certified Veterinary Manager (CVM), and why are they important?

To thrive as a Certified Veterinary Manager (CVM), you need a solid background in veterinary practice management, financial oversight, and human resources, typically supported by CVPM certification. Familiarity with veterinary management software, accounting systems, and regulatory compliance tools is essential. Outstanding leadership, problem-solving, and interpersonal communication skills set top performers apart in this role. These competencies ensure efficient clinic operations, foster a positive workplace culture, and support high standards of patient and client care.

What is a CVM?

CVM stands for 'Customer Value Management,' a role focused on understanding, maximizing, and managing the value that a company delivers to its customers. People in CVM roles analyze customer data, segment audiences, and design strategies to enhance customer satisfaction, loyalty, and profitability. They often work closely with marketing, sales, and data analytics teams to create personalized offers and communication. CVM professionals play a crucial part in increasing revenue and reducing churn by ensuring customers have positive, value-driven experiences.
Infographic showing various Cvm job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $53,653 per year, or $25.8 per hour.

CPU Core Design Verification Testbench Lead

Tenstorrent

Hybrid

$154K - $188K/yr

Other

Posted 5 days ago


Job description

At Tenstorrent, we build open, state of the art compute for real workloads and real developers.

You will own CPU core-level testbench development and verification, shaping how our out-of-order RISC-V CPUs behave in silicon.

This role is hybrid, based out of Austin, TX or Santa Clara, CA.

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 

  • You bring 8+ years in CPU verification, CPU testbench development, or closely related digital design.
  • You have deep hands-on experience building and owning CPU core-level testbenches, not just using existing environments.
  • You know high-performance out-of-order CPU microarchitecture in depth.
  • You are comfortable developing testbench infrastructure in CVM methodology, with UVM experience as a strong plus.
  • You work comfortably across RTL, waveforms, logs, regressions, and cross-functional debug with design, DV, emulation, and post-silicon teams.
  • You are comfortable using AI-assisted verification workflows to improve debug, stimulus creation, and coverage analysis, while applying strong engineering judgment to validate results.


What We Need 

  • Lead hands-on CPU core-level testbench development for high-performance out-of-order RISC-V cores.
  • Own and evolve CVM-based verification methodology, infrastructure, and reusable testbench components.
  • Plan and drive functional verification for CPU core features, ISA behavior, and microarchitectural scenarios.
  • Develop UVM, assembly, C/C++ stimulus, and C++ functional models for RISC-V extensions and un-core components such as APIC and IOMMU.
  • Debug regressions, close coverage, and improve core, cluster, and chip-level testbenches across simulation, emulation, and post-silicon environments.
  • Develop testbench and tooling infrastructure that combines Python orchestration with specialized AI agents to accelerate triage and root-cause analysis across logs, waveforms, and verification databases.


What You Will Learn 

  • How Tenstorrent designs and validates high-performance RISC-V CPU cores and clusters.
  • Techniques for building scalable CPU testbench infrastructure across core, cluster, and chip-level environments.
  • Ways to apply CVM methodology to complex CPU verification and debug workflows.
  • Techniques for spanning pre-silicon, emulation, and post-silicon verification with shared stimulus.
  • How to scale coverage, debug, and infrastructure across multiple CPU programs within Tenstorrent's broader compute roadmap.
  • How Tenstorrent applies AI across the DV lifecycle - from test planning and stimulus through regression debug, triage, and coverage analysis - using workflows designed to keep context tight and outputs auditable.