Position Overview:
We are looking for an experienced Synthesis Methodology Engineer to own and drive RTL synthesis methodologies across our AI SoC development projects. You will be responsible for developing, maintaining, and optimizing synthesis flows, evaluating new EDA tools, and enabling efficient implementation across multiple technology nodes.
You will collaborate closely with Design, Backend, CAD, and EDA vendors to improve design productivity and quality.
Responsibilities:
Synthesis Flow Ownership:
Develop, maintain, and optimize RTL synthesis flows using Synopsys Design Compiler to support ASIC/AI SoC development.
Synthesis Methodology:
Design and improve synthesis methodologies, automation, and reusable workflows across multiple projects and technology nodes.
RTL Synthesis:
Perform RTL synthesis for AI/NPU-related blocks while ensuring quality, performance, and design convergence.
Sign-off Verification:
Develop and maintain sign-off methodologies using PrimeTime, Formality, VC SpyGlass, and VCLP to ensure design integrity.
Technology Migration:
Support technology node migration, library updates, and flow enhancements to meet evolving project requirements.
EDA Tool Evaluation
: Evaluate, validate, and deploy new EDA tools and methodologies such as Synopsys Fusion Compiler and Cadence Genus.
Automation & Scripting:
Develop scripts and automation to improve synthesis productivity, flow robustness, and engineering efficiency.
Cross-functional Collaboration:
Work closely with RTL designers, Backend, CAD, and EDA vendors to resolve synthesis, timing, and methodology issues.
Qualification/ Requirements:
Education:
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related discipline.
Minimum
5 years
of experience in ASIC/SoC RTL synthesis or synthesis methodology development.
Strong hands-on experience with
Synopsys Design Compiler
.
Familiarity with sign-off tools such as
PrimeTime, Formality, VC SpyGlass,
and
VCLP
.
Experience with RTL synthesis, timing optimization, synthesis constraints, and ASIC implementation flow.
Proficiency in
Tcl, Shell, or Python
scripting for automation and flow development.
Experience evaluating or deploying EDA tools such as
Fusion Compiler
or
Cadence Genus
is highly preferred.
Strong analytical, debugging, and problem-solving skills.
Good communication skills with the ability to collaborate effectively across cross-functional engineering teams.
Black Sesame Technologies is a leading automotive-grade computing SoC and SoC-based intelligent vehicle solution provider. Since our founding in 2016, we have been committed to driving innovation and pushing the boundaries of intelligent vehicle technology. In 2024, we proudly marked a significant milestone by being officially listed on the main board of the Hong Kong Stock Exchange (stock code: 2533.HK). Our journey began with the Huashan Series high-computing power SoCs designed for autonomous driving, and in 2023, we introduced the Wudang Series cross-domain SoCs to meet the increasingly diverse and sophisticated demands of intelligent vehicles, while also expanding into broader application areas. Our proprietary automotive-grade products and technologies empower intelligent vehicles with mission-critical capabilities such as autonomous driving, smart cockpit, advanced imaging, and connectivity.
At Black Sesame Technologies, we not only provide robust SoCs and SoC-based solutions powered by our in-house developed IP cores, algorithms, and support software, but we also bring full-stack autonomous driving capabilities to meet a wide range of customer needs. We are committed to fostering a culture of innovation, where our employees are empowered to push boundaries and develop cutting-edge technology. Our people are at the core of our success, and we offer competitive compensation, growth opportunities, and a collaborative environment to ensure everyone thrives. We believe that innovation drives the future, and everything we do is aimed at making the future of intelligent vehicles safer, smarter, and more efficient for our customers.