BSP Linux Embedded Engineer at NVIDIA

Ra'anana, M, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

B.Sc. in Computer Science, Software Engineering, Electrical Engineering or equivalent experience
3+ years of developing drivers in the Linux kernel environment
2+ years of writing in C and Python
At least 1 year of working experience with continuous integration systems
Highly motivated, open-minded, and a quick learner
Well-organized, agile, and capable of leading your own tasks
An easy-going person who loves to collaborate with peers

Responsibilities

Develop BSP software for BMC/CPU, u-boot, BIOS, UEFI, Linux drivers and integrate them with OS, hardware, and production teams
Build and improve Linux-based production tools and Linux OS for production teams
Build new hardware simulation utilities to boost regression coverage capabilities

Skills

Key technologies and capabilities for this role

Linux KernelCPythonU-BootBIOSUEFIOpenBMCYoctoContinuous Integration

Questions & Answers

Common questions about this position

What benefits does NVIDIA offer?

NVIDIA offers highly competitive salaries and a comprehensive benefits package. More details can be found at www.nvidiabenefits.com.

Is this a remote position or hybrid?

The position is hybrid.

What are the required skills for this BSP Linux Embedded Engineer role?

Candidates need a B.Sc. in Computer Science, Software Engineering, Electrical Engineering or equivalent, 3+ years developing drivers in the Linux kernel, 2+ years writing in C and Python, and at least 1 year with continuous integration systems. They should also be highly motivated, open-minded, quick learners who are well-organized, agile, and collaborative.

What is the company culture like at NVIDIA?

NVIDIA provides a diverse, supportive environment where everyone is inspired to do their best work.

What experience will make me stand out for this role?

Proven experience with OpenBMC/Yocto, SCRUM mode, switch and/or networking environments, and collaborating closely with hardware/board development teams are strong advantages.

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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