Deskripsi Pekerjaan
Join the cutting-edge AI Chip Team at ByteDance in Singapore, where we are pushing the boundaries of silicon innovation. Our team is dedicated to the research and development of high-performance artificial intelligence chips that power both cloud infrastructure and edge devices. As an SOC / IP Verification Engineer, you will play a pivotal role in ensuring the functional correctness and reliability of our next-generation AI silicon products.
You will be working in a fast-paced, collaborative environment alongside world-class hardware and software engineers. This role offers the unique opportunity to influence the architecture and verification strategy of silicon designs that define the future of AI. We are looking for passionate problem-solvers who thrive on technical challenges and are eager to contribute to large-scale, industry-leading projects.
Tanggung Jawab
- Develop comprehensive verification plans for complex SOC and IP blocks to ensure 100% functional coverage.
- Architect and implement scalable verification environments using SystemVerilog and UVM (Universal Verification Methodology).
- Create robust test benches and reusable verification components to accelerate the verification cycle.
- Perform functional, code, and formal verification, ensuring strict adherence to design specifications.
- Debug complex silicon issues and collaborate closely with RTL designers to resolve bugs efficiently.
- Develop and execute directed and constrained-random test cases to verify corner-case scenarios.
- Participate in design and verification reviews, contributing to architectural improvements and best practices.
Kualifikasi
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
- Minimum 3+ years of professional experience in SOC or IP verification.
- Strong proficiency in SystemVerilog and UVM/OVM methodologies.
- Deep understanding of digital design principles, computer architecture, and hardware modeling.
- Experience with simulation tools such as VCS, Xcelium, or Questa and debugging waveforms.
- Proven expertise in scripting languages like Python, Perl, or TCL for automation.
- Excellent analytical, communication, and problem-solving skills with a team-oriented mindset.
- Previous experience with AI/ML hardware accelerators or high-speed interface protocols (e.g., PCIe, DDR) is a significant plus.