Company Description
SanDisk is uniquely positioned at the heart of the AI-driven data economy, with a focused portfolio centered on advanced
NAND flash and SSD technologies that underpin cloud, enterprise, and hyperscale infrastructures. As AI workloads continue to explode in scale and complexity, the need for high-throughput, low-latency, and energy-efficient storage has become mission-critical—an area where SanDisk's technology leadership clearly stands out.
Now operating as a focused, independent storage company, SanDisk has sharpened its execution and innovation engine to serve the rapidly growing AI, data center, and edge markets. Its inclusion in the
S&P 500 is a strong validation of both its operational maturity and its relevance as a core infrastructure player in the global technology ecosystem.
As AI increasingly moves from training to large-scale
inferencing, storage plays a decisive role in system performance. Fast access to models, embeddings, and real-time data requires ultra-low latency, high endurance, and power-efficient storage—particularly in distributed and edge deployments. SanDisk's flash-based solutions are well aligned to enable efficient, scalable AI inferencing by minimizing data movement bottlenecks between compute and storage.
Driven by experienced leadership and a clear long-term vision, SanDisk is not just responding to the AI wave—it is helping define the storage foundation on which next-generation AI systems will be built.
Job Description
Sandisk's ASIC team builds
state-of-the-art memory controllersthat power world-class NAND Flash products used globally at massive scale. Design Enablement team enables the Technology, Methodology and Flows to the Physical Design team to deliver best in class products. As the
PD Methodology / CAD Lead, you will play a pivotal role in defining, architecting, and delivering robust RTL-to-GDS physical design methodologies on
cutting-edge technology nodes, enabling best-in-class
PPA, quality, and productivity.
This role is ideal for a seasoned PD methodology leader who enjoys solving complex cross-domain problems, working closely with foundries, and driving innovation across flows, tools, and teams.
Key Responsibilities
- Lead and mentor the PD Methodology/CAD teamto deliver scalable, production-ready flows and innovative solutions across multiple programs.
- Design and architect end-to-end PD methodologies (RTL to GDS)for advanced technology nodes, ensuring correctness, robustness, and scalability.
- Drivecontinuous improvement in PPA (Power, Performance, Area)and turnaround time through flow optimization, automation, and best practices.
- Work closely withfoundry partnersto understand node-specific challenges (design rules, variability, EM/IR, signoff requirements) and developcorrect-by-constructionsolutions.
- Collaborate withIP teams, RTL design, DFT, and signoff teamsto address cross-domain optimization challenges and enable smooth design convergence.
- Develop shift-left and push-up methodologiesto detect and resolve issues early in the design cycle, improving predictability and schedules.
- Deliverhigh-quality, signoff-clean flowswith strong emphasis on reliability, yield, and manufacturability.
- Leverage AI/ML techniquesto improve quality, debug efficiency, predict design issues, and enhance overall productivity.
- Foster a culture oftechnical excellence and innovation, encouraging the team to develop novel solutions for next-generation challenges.
Qualifications
2+ years of experiencein Physical Design, PD Methodology, or CAD for advanced ASICs.
- Deep, hands-on understanding of complete PD flow, including:
- Synthesis
- Logical Equivalence Checking (LEC)
- DFT insertion and integration
- Place & Route
- Static Timing Analysis (STA)
- Physical Verification
- EM/IR analysis
- Strong grasp ofinter-dependencies across the PD flowand their impact on design convergence and PPA.
- Proven experience architecting PD methodologies and flowsfor complex SoCs or IPs on advanced nodes.
- M.Tech in VLSI Design or a related field(or equivalent industry experience).
- Proficiency inscripting and automationusingTCL, Perl, and/or Python.
- Additional information
Desirable Skills
- Exposure toadvanced nodesand complex signoff requirements.
- Experience withmemory controllers or high-performance data-path designs.
- Prior experience applyingAI/ML in EDA or design automationis a strong plus.
- Strong communication and stakeholder management skills.
- Experience working inmulti-project, high-complexity environmentswith tight schedules.
Additional Information
Sandiskthriveson the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandiskis committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us [Confidential Information] advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.