Post-Silicon Hardware Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Automotive, ComputingIndustries

Requirements

BS/MS in Electrical or Computer Engineering (or equivalent experience)
6+ years in system-level post-silicon bring-up and debug
Strong EE fundamentals: digital design, computer architecture, power/timing/fault analysis, statistics, and scripting
Deep understanding of firmware/driver interaction with hardware
Knowledge of PVT dependencies and binning methodologies
Experience in performance and power management (DVFS, gating, sequencing, throttling)
Hands-on validation skills with oscilloscopes, logic analyzers, and lab debugging
Established proficiency in operating within collaborative, multi-functional environments

Responsibilities

Develop and validate features – Prototype and validate system-level features on existing and new silicon, analyzing return on investment and driving feature bring-up plans
Debug Leadership – Lead hardware-side debug efforts to root cause feature bugs, silicon defects, and complex HW/SW interactions
Creative Problem Solving – Design workarounds and solutions through lab experimentation, applying advanced debug tools to meet aggressive schedules
Cross-Functional Impact – Partner with architects, chip/board designers, firmware/software engineers, and QA to drive design, debug, and release of next-gen products
Production Support – Collaborate with manufacturing and customer teams to resolve feature-related production issues

Skills

Digital Design

Computer Architecture

Power Management

Timing Analysis

Fault Analysis

DVFS

PVT Dependencies

Binning Methodologies

Oscilloscopes

Logic Analyzers

Scripting

Firmware

Lab Debugging

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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