Principal Engineer, Static Timing Analysis (STA)

Reposted 19 Hours Ago
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Expert/Leader
Artificial Intelligence • Hardware • Software
The Role
Lead STA strategy and execution for advanced-node SoC/IP designs, develop novel timing methodologies (MCMM, variation modeling, sign-off margins), act as Cadence Tempus SME, collaborate with RTL/synthesis/physical teams for timing-friendly implementations, and mentor the India team through full-cycle STA to GDS sign-off.
Summary Generated by Built In

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s 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. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

We are looking for a visionary Principal Engineer to spearhead Encharge AI Timing leadership role.

This isn't just an execution role; we need a technical trailblazer who can navigate the complexities of advanced process nodes (2nm/3nm and beyond) while fostering a culture of innovation and rigorous critical thinking.

As the India Timing Lead, you will bridge the gap between architectural intent and silicon reality, ensuring our high-performance designs meet the most stringent timing, power, and reliability targets.

Key Responsibilities
  • Technical Leadership: Drive the STA strategy for complex SoC and IP designs
  • Innovation & Methodology: Develop and deploy "out-of-the-box" solutions for timing closure. This includes defining sign-off margins, variation modeling (POCV/LVF), and managing multi-corner multi-mode (MCMM) scenarios.
  • Execution Excellence: Lead the team through full-cycle STA, from initial constraints validation to final GDS sign-off.
  • Cadence Tempus Expert: Act as the primary subject matter expert for Cadence Tempus, optimizing tool flows for distributed processing, ECO generation, and power-aware timing analysis.
  • Cross-Functional Collaboration: Partner with RTL, Synthesis, and Physical Design teams to influence floorplanning and clock tree synthesis (CTS) strategies for timing-friendly layouts.
  • Mentorship: Elevate the technical caliber of the India team through active code reviews, white-boarding sessions, and fostering a "first-principles" approach to problem-solving.
Required Skills & Expertise

Category

Requirements

Core STA

Deep expertise in Signal Integrity (SI), Crosstalk, OCV/POCV/LVF, and Constraint Management (SDC).

Tooling

Mastery of Cadence Tempus (ECO, Tempus Stylus, and distributed timing).

Analysis

Proficiency in high-speed interface timing (DDR, PCIe)  and low-power multi-voltage domains.

Scripting

Advanced Tcl/Python skills to automate complex flows and develop custom analysis tools.

Problem Solving

Proven ability to debug complex timing paths and offer creative ECO solutions that balance Power, Performance, and Area (PPA).

Mindset & Qualifications
  • Critical Thinker: You don't just follow a checklist; you challenge existing flows to find efficiencies and hidden risks.
  • Leadership Presence: 14+ years of experience in VLSI, with a clear track record of leading high-impact teams in India.
  • Education: B.Tech/M.Tech in Electrical/Electronic Engineering or a related field.
  • Communication: Ability to distill complex technical hurdles into actionable insights for global stakeholders.

Top Skills

Cadence Tempus
Clock Tree Synthesis
Crosstalk
Ddr
Distributed Timing
Eco
Lvf
Mcmm
Ocv
Pcie
Pocv
Python
Sdc
Signal Integrity
Tcl
Tempus Stylus
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The Company
HQ: Santa Clara, CA
31 Employees
Year Founded: 2022

What We Do

EnCharge AI is a leader in advanced AI hardware and software systems for edge computing. EnCharge’s 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. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

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