Senior Embedded System Software Engineer, Automotive at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, EmbeddedIndustries

Requirements

BS or MS in CS, CE, EE, Systems Engineering and 5 years of experience in a related software/hardware engineering position
Good English language skills to work effectively with global teams
Full experience at Linux, QNX or Android
Excellent C skills
Experience working on embedded systems and ARM processor specific

Responsibilities

Work directly in developing or integrating NVIDIA automotive or embedded software technology into various NVIDIA automotive or embedded platforms
Create and implement software features
Might work with customers to provide deep technical assistance
Assist customers to achieve fully optimized design with NVIDIA products
Provide partner feedback as to product features and software improvements

Skills

Key technologies and capabilities for this role

LinuxQNXAndroidCEmbedded SystemsARMDriver PortingPlatform BringupTegra

Questions & Answers

Common questions about this position

What is the salary for this Senior Embedded System Software Engineer position?

This information is not specified in the job description.

Is this a remote position or what is the location requirement?

This information is not specified in the job description.

What are the required skills for this role?

Candidates need a BS or MS in CS, CE, EE, or Systems Engineering with 5 years of experience in related software/hardware engineering, full experience with Linux, QNX or Android, excellent C skills, and experience with embedded systems and ARM processors.

What is the company culture like at NVIDIA?

NVIDIA values diversity as an equal opportunity employer and emphasizes working effectively with global teams, while fostering innovation in automotive and embedded technologies.

What makes a candidate stand out for this position?

Stand out with excellent debugging and problem-solving skills, self-managing abilities, and experience in areas like MCU, AutoSAR, device drivers, multimedia, graphics, camera software stack, OpenCL, OpenCV, CUDA, Deep Learning, or AI.

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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