Sr. Tech Lead SRAM ROM Expert
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Key details
- Location
- Bengaluru, KA, India
- Work style
- Onsite
- Level
- Lead / Staff+
- Job type
- Full-time
- Experience
- 10–13 yrs
- Function
- Software engineering
- Focus area
- other
- Posted
- 3d ago
Skills
ai/mlcalibrationmacrosroot cause analysissystem architecture
About the role
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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