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Responsibilities
Team Introduction
The AI Chip Team focuses on the research and development of artificial intelligence chips, with products spanning both cloud and edge (terminal) applications. The team is dedicated to delivering high-efficiency, cost-effective, and independently controlled AI chips and SoC solutions to support hardware and software R&D, as well as the computing demands of AI and related businesses.
Responsibilities
1. Build verification platforms and complete IP / SOC-level verification work, including test point analysis, running testcase, quality check, etc.
Qualifications
Minimum Qualifications
1. Bachelor's degree or above in microelectronics, computer science or related majors.
2. 3+ years of verification experience, with tape-out experience preferred.
3. Familiar with chip development/verification processes, proficient in verification-related EDA tools, and skilled in mainstream verification methodologies such as UVM.
Preferred Qualifications
1. Familiar with common buses such as AMBA and PCIE, high-speed interface such as serDes protocol.
2. Experience in AI inference/training verification.
3. Experience in storage systems such as LPDDR/DRAM.
Team Introduction
The AI Chip Team focuses on the research and development of artificial intelligence chips, with products spanning both cloud and edge (terminal) applications. The team is dedicated to delivering high-efficiency, cost-effective, and independently controlled AI chips and SoC solutions to support hardware and software R&D, as well as the computing demands of AI and related businesses.
Responsibilities
1. Build verification platforms and complete IP / SOC-level verification work, including test point analysis, running testcase, quality check, etc.
Qualifications
Minimum Qualifications
1. Bachelor's degree or above in microelectronics, computer science or related majors.
2. 3+ years of verification experience, with tape-out experience preferred.
3. Familiar with chip development/verification processes, proficient in verification-related EDA tools, and skilled in mainstream verification methodologies such as UVM.
Preferred Qualifications
1. Familiar with common buses such as AMBA and PCIE, high-speed interface such as serDes protocol.
2. Experience in AI inference/training verification.
3. Experience in storage systems such as LPDDR/DRAM.
Key Skills
Ranked by relevance
ai
artificial intelligence
storage
cloud
tape
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- Posted
- Jun 17, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Singapore
- Company
- ByteDance
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
Related
Software Engineer
2026-06-17
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Engineering
View Job Details
Related
Software Engineer - Service Platform
2026-05-09
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View Job Details
Related
Cloud Security Software Engineer Business Partner
2026-04-11
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