Senior PCIe Firmware Engineer at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, Artificial IntelligenceIndustries

Requirements

A degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent practical experience
8+ years of significant professional experience in embedded firmware development, with a deep understanding of PCIe
A strong foundation in computer architecture, operating systems, and object-oriented programming
Proficiency in scripting languages like Python to automate tasks and workflows
An innovative approach with a genuine desire to apply AI and machine learning to accelerate firmware development

Responsibilities

Lead the architectural design, development, and optimization of cutting-edge PCIe firmware, using AI-driven modeling and insights to deliver exceptional performance
Serve as a trusted technical expert by investigating, debugging, and resolving challenging PCIe firmware issues for our most important customers
Collaborate closely with our Chip Design, Verification, Software, and Architecture engineers to find root causes and develop robust, long-term solutions
Champion the integration of AI-assisted diagnostics and generative AI tools across the entire development lifecycle to boost team productivity and innovation
Translate customer needs and field data into actionable feedback that directly shapes the future of our products

Skills

Key technologies and capabilities for this role

PCIeFirmwareEmbedded FirmwareComputer ArchitectureOperating SystemsObject-Oriented ProgrammingAI-Driven ModelingDebuggingChip DesignVerification

Questions & Answers

Common questions about this position

What experience level is required for the Senior PCIe Firmware Engineer role?

The role requires 8+ years of significant professional experience in embedded firmware development, with a deep understanding of PCIe.

What education is needed for this position?

A degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent practical experience is required.

What key skills are essential for this firmware engineering job?

Candidates need a strong foundation in computer architecture, operating systems, and object-oriented programming, plus proficiency in scripting languages like Python.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or office-based?

This information is not specified in the job description.

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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