Sr. Tech Lead SRAM ROM Expert
Freescale Semiconductor · freescale.com
BengaluruLead / Manager10+ yrs
Straight from the company’s own careers site.
The job in short
SRAM/ROM memory architecture and technical leadership.
EmbeddedVLSI
Details
- Found
- 6 d ago · posted 2026-11-02
- Location
- Bangalore
Full description
Job Responsibilities:
• Define and drive next-generation SRAM and ROM architectures for embedded and standalone memory products.
• Own memory roadmap development, architectural trade-off analysis, and technology strategy across multiple product lines.
• Lead optimization of performance, power, area (PPA), yield, and reliability targets.
• Architect memory arrays, peripheral circuits, redundancy schemes, ECC, power-management features, and test methodologies.
• Collaborate with circuit design, layout, verification, product, and process technology teams from concept through silicon validation and production.
• Drive innovation in low-voltage operation, high-speed access, low-power techniques, and memory reliability.
• Develop architectural models for memory performance, power consumption, area, and yield prediction.
• Lead root-cause analysis of silicon issues and define architectural improvements for future generations.
• Mentor engineers and provide technical leadership across cross-functional teams.
• Influence long-term memory technology roadmaps and IP strategy.
Special Plus – In-Memory Computing (IMC)
• Architect SRAM/ROM-based In-Memory Computing (IMC) solutions for AI/ML acceleration and edge-computing applications.
• Evaluate and develop digital, analog, and mixed-signal IMC architectures.
• Define compute-enabled memory macros supporting Vector-Matrix Multiplication (VMM) and Multiply-Accumulate (MAC) operations.
• Optimize energy efficiency, throughput, accuracy, and scalability for memory-centric AI workloads.
• Drive innovations involving ADC/DAC integration, quantization, calibration, and variation-tolerant compute architectures.
• Collaborate with AI accelerator, system architecture, and algorithm teams to enable next-generation intelligent computing solutions.
Education
• Bachelor’s Degree (B.E./B.Tech.) in Electrical Engineering, Electronics Engineering, Electronics & Communication Engineering, or a closely related discipline.
• Master’s Degree (M.Tech./M.S.) in VLSI Design, Microelectronics, Semiconductor Technology, Integrated Circuit Design, or related specialization preferred.
• Ph.D. in VLSI, Memory Design, Computer Engineering, or related field is a plus.
Experience & Skills
• 10+ years of experience in SRAM, ROM, embedded memory, custom memory, or memory compiler development.
• Deep expertise in memory architecture, bitcell and peripheral circuit design, redundancy, ECC, memory compilers, and advanced CMOS technologies.
• Strong understanding of memory characterization, silicon validation, reliability, and yield optimization.
• Proven track record of technical leadership, innovation, patent generation, and successful silicon delivery.
• Experience in AI hardware, In-Memory Computing (IMC), or memory-centric computing architectures is highly desirable.
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