Staff / Senior Staff CAD & Methodology Engineer(Digital Impementation & SignOff)

Mulya Technologies; Bengaluru; Vor Ort; INR 4.000.000 - 8.000.000; Vollzeit

Zusammenfassung

Mulya Technologies in Bengaluru seeks a Staff / Senior Staff CAD & Methodology Engineer (Digital Implementation & SignOff) to own RTL-to-GDSII flows and timing signoff. You will optimize Innovus and Tempus flows, automate tasks, and collaborate with PD/STA leads to accelerate signoff for AI/edge devices.

The role requires 9–14 years in ASIC/SoC physical design, strong Tcl/Python, and deep Cadence tool mastery.

Qualifikationen

• 9–14 years of industry experience in ASIC/SoC physical design, CAD, or flow automation.
• Deep, production-proven expertise with Cadence Innovus (Implementation) and Cadence Tempus (Signoff STA).
• Strong understanding of internal tool mechanics and dbGet commands.
• Expert-level Python and Tcl scripting, plus Makefile generation and Git/Perforce usage.

Aufgaben

• Architect, develop, and maintain automated physical design and signoff flows from synthesis through GDSII.
• Drive advanced methodologies in Innovus and optimize CTS, floorplanning, placement, routing, and power grid.
• Own the STA and timing signoff methodology with Tempus and DMSA implementations.
• Develop Python/Tcl-based automation to reduce tool runtimes and engineering effort.
• Mentor junior engineers and act as a liaison with Cadence for tool evaluations and bug resolution.

Kenntnisse

Cadence Innovus

Cadence Tempus

Tcl scripting

Python scripting

Makefile generation

Git/Perforce

EDA workflows

ASIC/SoC physical design

Ausbildung

Bachelor’s or Master’s degree in Electrical Engineering or Computer Science

Tools

dbGet

Shell scripting

Jobbeschreibung

Title: Staff / Senior Staff CAD & Methodology Engineer(Digital Impementation & SignOff)

About Company:

We are hiring for organization which is leader in advanced AI hardware and software systems for edge-to-cloud computing. Its robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. It was launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

Job Description:

As a Staff / Senior Staff CAD & Methodology Engineer, you will be the resident expert in Innovus and Tempus, responsible for developing, debugging, and continually accelerating our RTL-to-GDSII and timing signoff flows. You will work closely with Physical Design and STA leads to eliminate bottlenecks, automate manual tasks, and push the limits of EDA capabilities at advanced process nodes.

Key Responsibilities

• Flow Architecture & Automation: Architect, develop, and maintain a highly automated, robust, and scalable physical design and signoff flow from synthesis through GDSII, optimized for AI accelerator architectures.
• Innovus Methodology: Drive advanced physical design methodologies in Cadence Innovus. Optimize recipes for floorplanning, placement, Clock Tree Synthesis (CTS), routing, and power grid implementation to squeeze out maximum PPA.
• Tempus Signoff Integration: Own the STA and timing signoff methodology using Cadence Tempus. Implement and optimize Distributed Multi-Scenario Analysis (DMSA), advanced OCV methodologies, and automated Tempus ECO flows to ensure rapid timing closure.
• Turnaround Time (TAT) Reduction: Identify inefficiencies in the daily execution of block and top-level implementation. Develop Python and Tcl-based automation, database parsers, and custom utilities to drastically reduce tool runtime and engineering debug time.
• Tool & Vendor Interface: Act as the primary technical liaison with Cadence. Drive tool evaluations, beta testing of new features, and resolution of critical tool bugs or limitations to ensure continuous flow stability.
• Mentorship & Support: Serve as the final escalation point for the PD and Timing teams regarding flow-related issues. Document methodologies clearly and mentor junior engineers on tool usage and flow mechanics.

Requirements & Qualifications

• Experience: 9 to 14 years of industry experience in ASIC/SOC physical design, with a primary focus on CAD, TFM (Tools, Flows, and Methodology), or flow automation.
• Cadence Mastery:
• Deep, production-proven expertise with Cadence Innovus (Implementation) and Cadence Tempus (Signoff STA).
• Strong understanding of internal tool mechanics, database access commands (dbGet), and advanced tool configuration.
• Scripting & Software Skills: Expert-level proficiency in Tcl and Python. Strong background in Makefile generation, shell scripting, and version control (Git/Perforce).
• Domain Knowledge: Thorough understanding of deep sub-micron physical design concepts (advanced node DRCs, cross-talk, electromigration, IR drop) and the theoretical foundations of Static Timing Analysis.
• Startup Mindset: Ability to thrive in a fast-paced, dynamic environment where flow requirements evolve rapidly as the architecture matures.
• Education: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Computer Engineering, or a related discipline.