SRAM charaterisation

Posted 19 Days Ago
Be an Early Applicant
2 Locations
In-Office
300K-10M Annually
Entry level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Characterize SRAM macros across PVT corners, generate and validate .lib timing and power libraries, run DRC and physical verification, debug failures, automate characterization flows, collaborate with design/CAD/layout teams, and support SRAM IP integration into SoCs.
Summary Generated by Built In

This role is for one of the Weekday's clients

Salary range: Rs 300000 - Rs 10000000 (ie INR 3-10 LPA)

Experience: 0+ yrs

Location: Bengaluru, Hyderabad

Job Type: Full-Time

We are looking for a motivated SRAM Characterization Engineer to join our semiconductor engineering team and contribute to the development, characterization, and validation of high-performance SRAM memory IP for advanced technology nodes. This role is ideal for candidates who are passionate about memory design, characterization methodologies, and physical verification, and who are eager to build a strong foundation in VLSI memory development.

As an SRAM Characterization Engineer, you will work closely with memory design, circuit design, physical design, and CAD teams to characterize SRAM macros, generate timing and power libraries, validate memory performance across multiple process-voltage-temperature (PVT) corners, and ensure compliance with design and manufacturing requirements. You will also participate in physical verification activities, including Design Rule Checking (DRC), while supporting the delivery of production-ready memory IP for SoC integration.

This position offers an excellent opportunity for fresh graduates and early-career engineers to gain hands-on experience with industry-standard EDA tools, semiconductor design flows, and advanced memory technologies in a collaborative engineering environment.


RequirementsKey Responsibilities
  • Perform SRAM characterization across multiple Process, Voltage, and Temperature (PVT) corners.
  • Generate and validate timing, power, and functional .lib libraries for SRAM macros.
  • Support characterization flow development and automation to improve efficiency and accuracy.
  • Execute Design Rule Checking (DRC) and assist in resolving physical verification issues.
  • Validate SRAM functionality, timing, leakage, and power characteristics using industry-standard characterization tools.
  • Collaborate with circuit design, layout, CAD, and physical design teams to optimize memory performance.
  • Analyze characterization results and identify opportunities for performance and power optimization.
  • Assist in debugging characterization failures and verification issues during memory development.
  • Maintain technical documentation, characterization reports, and design collateral.
  • Contribute to continuous improvement of memory characterization methodologies, verification processes, and automation frameworks.
  • Support integration of characterized SRAM IP into larger SoC designs while ensuring quality and reliability standards.
What Makes You a Great Fit
  • Bachelor's or Master's degree in Electronics, VLSI, Electrical Engineering, or a related discipline.
  • Strong understanding of SRAM architecture, memory fundamentals, and semiconductor design concepts.
  • Knowledge of SRAM characterization methodologies and .lib generation.
  • Familiarity with Design Rule Checking (DRC) and physical verification concepts.
  • Understanding of CMOS technology, digital circuit design, and timing analysis fundamentals.
  • Exposure to EDA tools used for memory characterization, physical verification, or library generation is an advantage.
  • Basic scripting knowledge using Python, Perl, Shell, or Tcl is desirable for automation tasks.
  • Strong analytical, debugging, and problem-solving skills with attention to detail.
  • Ability to work effectively in a collaborative, cross-functional engineering environment.
  • Excellent communication skills and willingness to learn advanced semiconductor memory design and characterization techniques.
  • Fresh graduates with relevant academic projects or internship experience in SRAM design, memory characterization, or physical verification are encouraged to apply.

Skills Required

  • 0+ years experience
  • Bachelor's or Master's degree in Electronics, VLSI, Electrical Engineering, or related discipline
  • Strong understanding of SRAM architecture, memory fundamentals, and semiconductor design concepts
  • Knowledge of SRAM characterization methodologies and .lib generation
  • Familiarity with Design Rule Checking (DRC) and physical verification concepts
  • Understanding of CMOS technology, digital circuit design, and timing analysis fundamentals
  • Exposure to industry-standard EDA tools for memory characterization, physical verification, or library generation
  • Basic scripting knowledge (Python, Perl, Shell, Tcl) for automation tasks
  • Strong analytical, debugging, and problem-solving skills with attention to detail
  • Ability to work effectively in a collaborative, cross-functional engineering environment
  • Excellent communication skills and willingness to learn advanced memory design and characterization techniques
Am I A Good Fit?
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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