Job description

The role requires the analysis of existing and new emerging neural networks to identify bottlenecks and opportunities for innovation. In order to assess the feasibility of ideas and refine them, you also need to be experienced in various areas in NPU - micro-architecture, RTL, simulator, and compiler.

Qualifications

• 5+ years of experience in hardware design projects in architectural or micro-architectural level
• Experience in PPA (power/performance/area) optimizations
• Familiar with hardware description languages - SystemVerilog
• Programming skills in C/C++

Preferred Qualifications

• Experience in NPU, GPU, and micro-processor development; especially many-core and multi-chip systems
• Experience with ML frameworks (Tensorflow, PyTorch, TVM, and so on)
• Experience in architecture exploration tool development
• Experience in hardware simulator development
• Experience in compiler development

Benefits

• Medical/Dental/Vision/Life Insurance with no premium cost
• Retirement plan with company matching
• PTO and Paid Holidays

Job Type: Full-time

Salary: $150,000.00 - $250,000.00 per year

Benefits:

• Health insurance
• Paid time off

Schedule:

• 8 hour shift

Ability to commute/relocate:

• Santa Clara, CA 95054: Reliably commute or planning to relocate before starting work (Required)

Experience:

• Semiconductor: 1 year (Required)
• NPU: 1 year (Required)
• Machine learning: 1 year (Required)

Work Location: One location

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