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ASIC Design Engineer (Graduate) — Video Silicon IP (2027 start)

ByteDance
August 17, 2026
Full-time
On-site
San Jose, California, United States
Semiconductor IP Jobs, Level - Entry or Early Career

Job Title

ASIC Design Engineer (Graduate) — Video Silicon IP (2027 start)

Role Summary

Join ByteDance's Technology team in San Jose to design hardware for video codec and processing IP. The role focuses on building high-performance, low-power video accelerators and integrating them with architecture, algorithm, and verification workstreams.

Experience Level

Entry-level (Graduate). Suitable for recent graduates or students completing a Bachelor's degree; specific years of experience are not required.

Responsibilities

Primary duties include:

  • Design hardware accelerators for advanced video encoding and processing.
  • Collaborate with architecture, algorithm, and verification teams to develop efficient video processing IP.
  • Apply computer architecture and ASIC design principles to image and video compression and processing tasks.

Requirements

Must-have technical skills:

  • Knowledge of video codecs and codec implementation concepts.
  • RTL design experience with SystemVerilog or experience using High Level Synthesis (HLS).
  • Proficient scripting/programming skills in Python for automation and tooling.
  • Familiarity with verification methodologies such as UVM, SystemC, or DPI.
  • Basic ASIC design and RTL verification concepts.

Nice-to-have:

  • Practical experience from internships or projects implementing video IP or codecs.
  • Exposure to low-power design techniques or production HLS flows.

Education Requirements

Bachelor's degree in Computer Science, Electrical Engineering, or a related discipline — completed or in progress.


About the Company

Company: ByteDance

Headquarters: Beijing, China

ByteDance is a Beijing-based multinational internet technology company known for consumer apps like TikTok and Toutiao. The company develops AI-driven content platforms, advertising products, and research in machine learning, video technologies, and cloud services.

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Date Posted: 2026-08-15