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Fractile

Specialized AI inference chips and software

Senior Logical Design Engineer

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's, Master's, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.
  • At least 6 years of experience in digital design, RTL development, or related roles.
  • Proven expertise in developing RTL designs for high-performance systems.
  • Familiarity with advanced digital design concepts, including pipelining, clock-domain crossing, and power gating.
  • Experience with high-speed or low-power design methodologies.
  • Strong analytical and problem-solving skills.
  • Effective communication and collaboration abilities in cross-functional teams.
  • A detail-oriented approach with a focus on quality and efficiency.

Responsibilities

  • Develop and maintain RTL specifications for digital designs, ensuring clarity and accuracy.
  • Implement complex design modules with a focus on performance, power, and area efficiency.
  • Take ownership of design tasks, including planning, execution, and delivery of work packages.
  • Define design tasks for the project, including partitioning, interface specifications, and module definitions.
  • Collaborate with verification engineers to ensure functional correctness through simulation and formal verification.
  • Work closely with physical design engineers and verification teams to ensure seamless integration of the design.
  • Document RTL design methodologies, module interfaces, and functional requirements.
  • Ensure adherence to coding standards, best practices, and maintainability guidelines.

About the Company

Fractile

Specialized AI inference chips and software

Fractile designs specialised AI inference chips, systems, and software to run very large AI models. Its approach packs DRAM directly on top of logic to boost memory bandwidth and capacity, offering an alternative to HBM and SRAM-based designs. The company operates full-stack across research, hardware, software, and systems, delivering an integrated hardware-software stack. Its goal is to enable scalable, high-performance model inference by meeting demanding memory needs with a complete solution.

Company size
51-200
Company stage
Series C
Total funding
$984.1M
Headquarters
London, United Kingdom
Founded
2022

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