LLM Hardware Design Engineer

1 month ago


Anywhere in IndiaMultiple LocationsRemoteAny Location United WE Care Full time
About the Role

We're seeking a talented Hardware Design Developer to play a crucial role in advancing the capabilities of enterprise-level Large Language Models (LLMs). As a key member of our team, you'll be responsible for leveraging our hardware design platform to generate high-quality training data that will significantly enhance the performance and intelligence of these powerful AI models.

Responsibilities
  • Hardware Design Platform Development: Develop, configure, and customize our hardware design platform to efficiently generate training data for LLMs.
  • Data-Driven LLM Enhancement: Collaborate with research teams to translate their requirements into actionable data insights, directly impacting the performance of our LLMs.
  • Technical Excellence: Adhere to the highest standards of coding, debugging, and documentation to ensure that our hardware design solutions are optimized for LLM training and benchmarking.
  • Cross-Functional Collaboration: Work closely with teams across the organization to identify and prioritize needs, contributing to the development of LLMs capable of understanding and automating complex processes.
Qualifications
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
  • 3-5 years of experience in hardware design development.
  • Strong proficiency in Hardware Description Languages (HDLs) such as Verilog, SystemVerilog, VHDL, and SystemC.
  • Expertise in scripting, front-end and verification workflows, and integrations within the hardware design environment.
  • Excellent problem-solving, communication, and collaboration skills.
  • Familiarity with Synopsys/Cadence or open-source toolchains.
Preferred Qualifications
  • Experience with UVM environments.
  • Expertise in Formal Verification.
  • Proficiency in Lint process and refinement.
  • Knowledge of Computer Architecture and Assembly Coding and Debugging.
  • Experience with Assertion Coding and SVA.
  • Familiarity with ML and AI systems.

If you're passionate about AI and hardware design, and you're ready to contribute to the development of cutting-edge LLMs, we encourage you to apply.



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