Principal Engineer - NPU (Neural Processing Unit) - #1096300
ScienTec Consulting Pte Ltd
Date: 1 week ago
District: Jurong East
Contract type: Full time
Work schedule: Full day

Join a next-generation AI semiconductor team shaping the future of intelligent computing!
We're building advanced Neural Processing Unit (NPUs) to accelerate real-time AI workloads.
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).
This authorizes us to:
Contact you about potential opportunities. Delete personal data as it is not required at this application stage. All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Ng Kee Hung (Vickus) - R2091423
ScienTec Consulting Pte Ltd - 11C5781
We're building advanced Neural Processing Unit (NPUs) to accelerate real-time AI workloads.
- Salary up to $14,000 + AWS + Bonus + Potential stock option
- Opportunity to define the future of AI silicon
- Define and design microarchitecture for key NPU components such as compute arrays, memory hierarchies, schedulers)
- Develop performance modules and simulations to optimize AI inference throughput and efficiency.
- Own the RTL design and implementation using Verilog / System Verilog for NPU sub-blocks.
- Drive and optimize PPA (Performance / Power / Area) to meet key objectives and results.
- Work closely with verification engineers to ensure comprehensive testing and debug issues.
- Participate in the integration into the overall system, conducting design checks, and addressing lint / timing / CDC issues.
- Collaborate with software teams to assist in compiler and toolchain development and debugging.
- min. 8 years of digital design with working experience in SoC design
- min. 1 cycle of NPU design completion experience is mandatory
- Experience in microarchitecture design, and RTL coding with Verilog / System-Verilog
- Experience in synthesis, with analysis of power, timing and area
- Experience in UVM verification methodology / optimizing micro-architectures for low-power and low-area / deep learning algorithms such as CNN or Transformer is a plus
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).
This authorizes us to:
Contact you about potential opportunities. Delete personal data as it is not required at this application stage. All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Ng Kee Hung (Vickus) - R2091423
ScienTec Consulting Pte Ltd - 11C5781
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