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Tensordyne

B2B data storage and analytics service

Simulation & Modeling Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeMunich, GermanyNo salary listedIn-person

About the Job

Requirements

  • Strong modern C++.
  • Good knowledge of RTL and ASIC methodology.
  • A solid understanding of hardware architecture.
  • A good command of build systems and toolchains.
  • Ability to take a loosely specified feature and deliver working, tested code with minimal hand-holding.
  • Clear written and verbal communication, and comfort working across teams.
  • A bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • At least 3 years of industry experience.

Responsibilities

  • Implement new architecture features and algorithms in the model.
  • Investigate discrepancies between the model and the hardware.
  • Write tests, test plans, and test infrastructure for new features, and track code coverage.
  • Document the model and validate it against the architecture specification and the RTL.
  • Evaluate new modeling techniques and adopt effective ones.
  • Help maintain and improve the codebase.

Desired Qualifications

  • Knowledge of SystemC and TLM-2.0.
  • Experience with AI/ML accelerators or GPU architectures.
  • Experience with high-performance computing.
  • Python for scripting and tooling.
  • Experience with debugging and analysis tools, including sanitizers, profilers, and tracing.

About the Company

Tensordyne

B2B data storage and analytics service

Tensordyne provides B2B data storage and data access services for electronic communications networks. Its platform stores and retrieves data for clients, including user preferences used to personalize experiences, while keeping privacy at the forefront. It also analyzes stored data to generate anonymous statistical insights that help clients make data-driven decisions. Revenue likely comes from charging clients for storage, access, and analytics services. Compared with competitors, Tensordyne emphasizes privacy and data protection, offering analytics strictly on anonymized data and focusing on essential storage and transmission needs for businesses. The company’s goal is to help organizations run reliable, secure data storage and transmission while enabling privacy-safe, data-driven business intelligence.

Company size
51-200
Company stage
Series C
Total funding
$175.9M
Headquarters
Sunnyvale, CA
Founded
2017

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