VLSI Physical Design / APR Engineer
Ambarella
VLSI Physical Design / APR Engineer
Ambarella
Edge AI vision processors for cameras
Job Description
The VLSI Physical Design Engineer is responsible for implementing and optimizing the layout of integrated circuits (ICs) from netlist to GDSII. This role plays a key part in turning high-level logic designs into manufacturable silicon chips, ensuring electrical performance, area, and power (PPA) goals are met, and the physical verification results are good.
Key responsibilities:
1. Derive full-chip and block-level physical design from netlist to tape-out (netilst to GDSII).
2. Floorplanning, power planning, placement, clock tree synthesis (CTS), routing, and layout verifications.
3. Work closely with front-end design, DFT, and package teams to ensure design closure.
4. Sign-off on signal integrity, power integrity, reliability and manufacturability including performing static timing analysis (STA), IR drop analysis, EM analysis, and physical verification (DRC/LVS/DFM).
5. Analyze, optimize and resolve congestion, timing, power integrity and signal integrity issues.
6. Create and maintain physical design automation Tcl scripts, and flows development for design implementation.
7. Interface with EDA tool vendors and foundries to ensure design compliance and manufacturability.
Job Requirements:
1. Minimum Master degree majoring in EE/CE/CS related fields.
2. At least 2 years ~ 7 years of experiences in VLSI field for designer and manager positions, respectively.
3. Experience in tapeout with multi-million gates count SOC design, 10/7/5/3nm design experience is a plus.
4. Solid skill sets of one of Cadence/Synopsys/Mentor EDA tools.
5. Experience in design methodology, flow deployment/refinement and problem solving skill.
6. Familiar with Perl/TCL scripting is a plus
7. Proficiency in speaking and writing English is a plus.
8. Good communication skill, team spirit, initiative, innovative and fast learning.
Ambarella develops AI vision processors for edge devices to extract meaningful insights from high-resolution video. Its chips and software run locally on cameras and embedded systems, enabling real-time analytics for applications such as ADAS, smart mirrors, drive recorders, security cameras, and industrial robotics, without sending data to the cloud. Revenue comes from licensing its AI vision processors and related software to manufacturers who integrate the tech into their products. The company differentiates itself by focusing on on-device, low-latency processing across automotive, security, consumer IoT, and industrial robotics markets, and by expanding capabilities through acquisitions like Oculii to add radar perception AI algorithms. Ambarella’s goal is to empower real-time, local decision-making in cameras and sensors, enabling safer, more capable edge devices across multiple industries.
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