NVIDIA

1 week ago

Chip Power Estimation Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Develop and correlate architectural power estimation models and tools for NVIDIA GPUs and SoCs. Help build power models for idle and IO use cases, design estimation tool workflows and testing infrastructure, and calibrate models using measured silicon data. Partner with architecture, design, synthesis, timing, circuit, and post-silicon teams to optimize power/performance and contribute to Performance/Watt improvement ideas. Programming in Python and strong low-power VLSI fundamentals are key.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Energy & Utilities Operations

Seniority: Mid level

Key Responsibilities

•Architect, develop, and correlate power estimation models/tools for NVIDIA chips.
•Develop power models for specific use cases including idle power and IO power.
•Build estimation tool workflows and testing methodology/infrastructure based on the models.
•Correlate and calibrate power models using measured silicon data.
•Analyze chip configuration and process technology options to optimize power/performance and support Performance/Watt improvement ideas.

Key Requirements

•B.Tech./M.Tech and 2+ years of experience in power/performance estimation and optimization techniques.
•Strong fundamentals in power, including transistor-level leakage and dynamic characteristics of VLSI circuits.
•Familiarity with low power design techniques such as multi VT, clock gating, power gating, and DVFS.
•Strong background in power estimation techniques, flows, and algorithms.
•Good programming skills, with Python preferred, plus object-oriented programming and design skills.

Experience:2+ years

Education:Master's

Skills:Communication skillsTeamwork

Tech Stack:PythonObject-oriented programmingScopeDAQPTPXEPS

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 week ago

Chip Power Estimation Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Energy & Utilities Operations

Seniority: Mid level

Key Responsibilities

•Architect, develop, and correlate power estimation models/tools for NVIDIA chips.
•Develop power models for specific use cases including idle power and IO power.
•Build estimation tool workflows and testing methodology/infrastructure based on the models.
•Correlate and calibrate power models using measured silicon data.
•Analyze chip configuration and process technology options to optimize power/performance and support Performance/Watt improvement ideas.

Key Requirements

•B.Tech./M.Tech and 2+ years of experience in power/performance estimation and optimization techniques.
•Strong fundamentals in power, including transistor-level leakage and dynamic characteristics of VLSI circuits.
•Familiarity with low power design techniques such as multi VT, clock gating, power gating, and DVFS.
•Strong background in power estimation techniques, flows, and algorithms.
•Good programming skills, with Python preferred, plus object-oriented programming and design skills.

Experience:2+ years

Education:Master's

Skills:Communication skillsTeamwork

Tech Stack:PythonObject-oriented programmingScopeDAQPTPXEPS

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor