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Hardware Design Engineer for Enterprise LLMs

1 month ago


Mumbai, Maharashtra, India Dev2Work Full time

Job Title: Hardware Design Engineer for Enterprise LLMs

We are seeking an exceptional hardware design engineer to play a pivotal role in using the hardware design platform to generate the training data to enhance enterprise LLMs capabilities.

This unique position offers the chance to directly contribute to the sophistication of enterprise LLMs ensuring they operate with unparalleled efficiency and intelligence.

Responsibilities:

  • Develop, configure, and customize the hardware design platform utilizing it to generate vital training data for enterprise LLMs.
  • Liaise with research teams to translate requirements into actionable data insights directly impacting our LLMs performance.
  • Uphold the highest standards in coding, debugging, and documentation ensuring the hardware design solutions are optimized for LLM training and benchmarking.
  • Collaborate across teams to identify and prioritize needs contributing to the LLMs ability to understand and automate complex processes.

Basic Qualifications:

  • BS or MS degree in Electrical Engineering or related field.
  • 4-6 years of proven experience in hardware design development.
  • Expertise in HDLs such as Verilog, SystemVerilog, VHDL, and SystemC.
  • Expertise in scripting frontend and verification workflows and integrations within the hardware design environment.
  • Exceptional problem-solving, communication, and collaborative skills.
  • Familiarity with Synopsys/Cadence or open-source toolchains.

Preferred Qualifications:

  • Exposure to working with ICT institutions, particularly with companies like Qualcomm, Broadcom, MediaTek, AMD, Intel, Samsung Semiconductors, Synopsys, Cadence Design Systems, or similar.
  • Expertise in UVM environments.
  • Expertise in Formal Verification.
  • Expertise in Lint process and refinement.
  • Experience with Computer Architecture and Assembly Coding and Debugging.
  • Experience with Assertion Coding and SVA.
  • Familiarity with ML and AI systems.

Location: Mumbai, India

Remote Work: No