Hardware Engineer, Silicon Power and Productization

NVIDIA
India
Workplace: HybridFull timeFunction: Hardware, Embedded & Systems EngineeringExperience: 2+ yearsEducation: bachelorsSkills: ["Problem-solving","Data analysis","Hypothesis-driven experimentation","Root-cause analysis","Cross-functional collaboration"]

Drive silicon power productization from pre-silicon planning through bring-up and production, owning test strategy, feature readiness, characterization, and optimization. Partner with architecture and design teams to validate power/performance features for production. Correlate measured silicon behavior to expectations, root-cause complex gaps, and build power/performance models for binning and specifications. Use AI/ML and data-driven analysis to detect anomalies and accelerate debug across silicon and system components.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

Hardware Engineer, Silicon Power and Productization

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 minutes agoStatus: Live

Job Summary

Drive silicon power productization from pre-silicon planning through bring-up and production, owning test strategy, feature readiness, characterization, and optimization. Partner with architecture and design teams to validate power/performance features for production. Correlate measured silicon behavior to expectations, root-cause complex gaps, and build power/performance models for binning and specifications. Use AI/ML and data-driven analysis to detect anomalies and accelerate debug across silicon and system components.
Location: India
Workplace: Hybrid
Employment Type: Full time
Job Function: Hardware, Embedded & Systems Engineering
Seniority: Mid level

Key Responsibilities

  • •Drive silicon power productization from pre-silicon planning through bring-up and production, including test strategy and optimization.
  • •Partner with architecture and design teams to identify improvements and translate features into production-ready solutions.
  • •Correlate measured silicon behavior with pre-silicon expectations, investigate gaps, and drive root-cause analysis.
  • •Build power/performance models and characterization methodologies to support binning, specifications, and productization decisions.
  • •Use AI/ML and data-driven analysis to study characterization and telemetry data, identify anomalies/trends, and accelerate debug across silicon, boards, power delivery, firmware, and software.

Key Requirements

  • •BS/MS in Electronics Engineering, Electrical Engineering, or a related field, or equivalent experience.
  • •2+ years of experience in silicon bring-up, characterization, validation, productization, or a related hardware field.
  • •Understanding of silicon power and performance, including process technology, voltage, frequency, workloads, and operating conditions.
  • •Experience with system-level hardware debugging across silicon, board hardware, firmware, and software.
  • •Strong data analysis and problem-solving skills to turn measurements into hypotheses and experiments.
Experience:2+ yearsSemiconductorsHardware engineeringAI/MLSilicon bring-upProductization
Education:Bachelor's in Electronics Engineering / Electrical Engineering (or related)
Skills:Problem-solvingData analysisHypothesis-driven experimentationRoot-cause analysisCross-functional collaboration
Tech Stack:AI/MLData-driven methodsTelemetry dataWindowsLinuxPower controllersPower deliveryLow-power statesSilicon binningPower and performance modelling

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
Glassdoor: 4.3
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