Firmware Infrastructure Engineer - GPU at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

BS or MS degree in EE/CS/CE (or equivalent experience)
4+ yrs experience
Automation experience with modern CI/CD tools
Sturdy technical background in cloud/distributed infrastructure
In depth understanding of database concepts and object modeling
Strong grasp of software development lifecycle and coding practices
Strong Python, C, and scripting skills
Even stronger interpersonal skills
Sense of humor highly encouraged, but not required
Easy to work with, as you’ll constantly be engaged with both hardware designers and other software engineers

Responsibilities

Improve team software process and core infrastructure by enhancing and designing tooling, build systems, and regression farms
Design, develop, test, debug, and optimize creative solutions for GPU firmware throughout the entire GPU lifecycle
Work closely with hardware, software, infrastructure, and business teams to transform new infrastructure features from idea to reality
Work with leading OS and PC vendors to improve and innovate on the startup experience
Create, document, and automate workflows, processes, and tooling for internal-facing and external-facing team projects

Skills

CI/CD

Automation

Firmware

GPU

Build Systems

Regression Farms

Debugging

Tooling

Workflow Automation

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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