LLM Hardware Design Developer
1 month ago
About the Role :
We're seeking a talented Hardware Design Developer to join our team and play a crucial role in advancing the capabilities of enterprise-level Large Language Models (LLMs). 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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