NVIDIA

4 weeks ago

Senior System Integration and Validation Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead end-to-end system validation for NVIDIA GPUs/SoCs, driving cross-functional debug and AI-enabled validation workflows. Own feature checks, stress tests, and multi-unit fleet testing, translating complex silicon risk into decision-ready options for executives while collaborating with global teams across silicon design, firmware, software, and manufacturing.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Own end-to-end system validation of GPU, SoC, and platform programs including feature checks, PVT stress, system-stress campaigns at scale, and multi-unit fleet testing.
•Lead debug of the hardest cross-stack issues—logic, signal integrity, power delivery, firmware, and software interaction—and drive them to root cause with reusable workarounds and productized fixes.
•Develop test plans, scripts, and automation for next-generation chips ahead of physical builds, translating architecture, boot flows, high-speed I/O, and power/thermal dependencies into executable coverage.
•Design and deploy AI-enabled debug and validation workflows with guardrails (evals, regression validation, false-positive handling) and measurable impact on cycle time and debug velocity.
•Translate complex silicon and system risk into decision-ready options for technical and executive audiences, partnering with globally distributed teams across silicon design, DFT, firmware, software, manufacturing, and platform engineering.

Key Requirements

•BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering (or equivalent experience), plus 8 to 12 years of post-silicon validation, system integration, or platform debugging on shipped GPU, CPU, or SoC products.

Experience:8-12 yearsSemiconductorsAI hardwareGPUDatacenter

Education:Bachelor's

Skills:AIDebuggingSystem validationTest planningAutomation

Tech Stack:PVTDFTHigh-speed I/OPower deliveryThermal

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

4 weeks ago

Senior System Integration and Validation Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Own end-to-end system validation of GPU, SoC, and platform programs including feature checks, PVT stress, system-stress campaigns at scale, and multi-unit fleet testing.
•Lead debug of the hardest cross-stack issues—logic, signal integrity, power delivery, firmware, and software interaction—and drive them to root cause with reusable workarounds and productized fixes.
•Develop test plans, scripts, and automation for next-generation chips ahead of physical builds, translating architecture, boot flows, high-speed I/O, and power/thermal dependencies into executable coverage.
•Design and deploy AI-enabled debug and validation workflows with guardrails (evals, regression validation, false-positive handling) and measurable impact on cycle time and debug velocity.
•Translate complex silicon and system risk into decision-ready options for technical and executive audiences, partnering with globally distributed teams across silicon design, DFT, firmware, software, manufacturing, and platform engineering.

Key Requirements

•BTech/BE or MTech/ME in Electronics, Electrical, or Computer Engineering (or equivalent experience), plus 8 to 12 years of post-silicon validation, system integration, or platform debugging on shipped GPU, CPU, or SoC products.

Experience:8-12 yearsSemiconductorsAI hardwareGPUDatacenter

Education:Bachelor's

Skills:AIDebuggingSystem validationTest planningAutomation

Tech Stack:PVTDFTHigh-speed I/OPower deliveryThermal

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