Jobs Companies Weekday AI SRAM charaterisation

Über diese SRAM charaterisation Stelle bei Weekday AI

Weekday AI · Vor Ort · Bengaluru, Karnataka, India

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.

Requirements

Key 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.
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At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

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