Senior SoC Physical Design Engineer - AI/ML
Qualcomm · Posted Nov 3
Semiconductor, 5G wireless technology, mobile platform, and AI computing solutions
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About the role
Qualcomm India's ASICS Engineering group works on complex SoC/ASIC implementation for advanced technology nodes, driving power, performance and area (PPA) goals through tapeout. The team is building AI/ML-based methodologies for Physical Design optimization and automation. This role owns end-to-end Physical Design implementation — floorplanning through PnR, CTS, routing and timing closure — and applies Python/TCL automation and AI/ML techniques to PD flows.
What you will do
- Own Physical Design implementation from floorplanning through PnR, CTS, routing and timing closure.
- Work on complex SoC/IP blocks targeting aggressive PPA goals.
- Debug timing, congestion, power and physical design issues and drive design convergence.
- Develop Python/TCL-based automation for Physical Design flows and productivity improvements.
- Apply AI/ML techniques to Physical Design problems such as floorplanning, placement, optimization, PPA prediction or design-flow automation.
- Collaborate with RTL, STA, DFT, CAD and other SoC teams through tapeout.
Skills used in this role
What the employer is looking for
- 4–5 years of hands-on ASIC/SoC Physical Design experience.
- Strong knowledge of Floorplanning, Placement, CTS, Routing, STA and Timing Closure.
- Good understanding of PPA optimization, low-power design and physical/signoff verification.
- Hands-on experience with tools such as Innovus, ICC2/Fusion Compiler, PrimeTime, Tempus, Calibre, RedHawk or Voltus. Current Qualcomm Physical Design openings similarly emphasize these toolsets and end-to-end PD/signoff expertise.
- Strong scripting/programming skills in Python and TCL.
- Practical exposure to AI/ML, Machine Learning algorithms, GenAI or data-driven optimization applied to VLSI/EDA/Physical Design.
- Knowledge of optimization, graph algorithms or computational geometry is an advantage. An internal Global SoC Central Physical Design requirement specifically identifies Python, geometry packages, optimization algorithms, SoC knowledge and AI/ML background as relevant skills.
- Experience with advanced technology nodes is preferred.
Preferred qualifications
- Candidates combining strong core Physical Design fundamentals + Python automation + hands-on AI/ML exposure will be highly preferred. Experience developing AI/ML-assisted EDA flows, PPA optimization techniques, synthetic-data generation, or GenAI applications for chip design would be particularly relevant.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Qualcomm
Qualcomm is a global leader in the development and commercialization of foundational technologies for the wireless industry, including mobile processors, 5G, and on-device artificial intelligence. The company designs and markets digital communications products, semiconductor solutions, and system software used globally across smartphones, automotive solutions, IoT devices, and computing systems. Through extensive R&D and intellectual property licensing, Qualcomm powers a highly interconnected and smarter world.
- Industry
- Semiconductors
- Company size
- 50000+ employees
- Founded
- 1985
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Funding
Public Company · $53M raised
- 2018-11-01Grant
Leadership
President and Chief Executive Officer
Chief Financial Officer and Chief Operating Officer
James H. Thompson
Chief Technology Officer
Chief Marketing Officer
Ann Chaplin
General Counsel and Corporate Secretary
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