drjobs Semiconductor AI Accelerator Developer

Semiconductor AI Accelerator Developer

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1 Vacancy
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Jobs by Experience drjobs

5years

Job Location drjobs

Los Angeles, CA - USA

Monthly Salary drjobs

$ 180000 - 350000

Vacancy

1 Vacancy

Job Description

Join the forefront of the AI revolution by designing next-generation semiconductors that power artificial intelligence applications. This role focuses on developing cutting-edge AI/ML accelerators and advanced node semiconductors for the worlds leading technology companies.

Key Responsibilities:

  • Design and develop AI-optimized semiconductor architectures for machine learning workloads
  • Lead advanced node semiconductor development (7nm 5nm 3nm processes)
  • Collaborate with AI software teams to optimize hardware-software co-design
  • Perform circuit design simulation and verification for AI/ML accelerators
  • Develop memory subsystems and interconnect architectures for AI processing units
  • Optimize power efficiency and performance for edge AI and data center applications
  • Work with foundry partners on advanced manufacturing process development
  • Lead cross-functional teams including layout verification and packaging engineers


Requirements

  • Masters or PhD in Electrical Engineering Computer Engineering or related field
  • 5 years experience in semiconductor design with focus on AI/ML applications
  • Expertise in advanced node processes ( 16nm) and EUV lithography
  • Proficiency in industry-standard EDA tools (Cadence Synopsys Mentor Graphics)
  • Strong understanding of AI/ML algorithms and their hardware requirements
  • Experience with ASIC design flow from RTL to tape-out
  • Knowledge of memory architectures (HBM GDDR emerging memories)
  • Experience with AI frameworks (TensorFlow PyTorch) and their hardware acceleration


  • Benefits

    Compensation Range: $180000 - $350000 plus CHIPS Act project bonuses

    Master's or PhD in Electrical Engineering, Computer Engineering, or related field 5+ years experience in semiconductor design with focus on AI/ML applications Expertise in advanced node processes ( 16nm) and EUV lithography Proficiency in industry-standard EDA tools (Cadence, Synopsys, Mentor Graphics) Strong understanding of AI/ML algorithms and their hardware requirements Experience with ASIC design flow from RTL to tape-out Knowledge of memory architectures (HBM, GDDR, emerging memories) Experience with AI frameworks (TensorFlow, PyTorch) and their hardware acceleration

    Employment Type

    Full Time

    Company Industry

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