Senior System Software Engineer, SOC at NVIDIA

Taipei, Taiwan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance Computing, SemiconductorsIndustries

Requirements

BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience
5+ years of significant software development experience
Strong C programming, C++, low-level driver and SOC system platform experience
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals
Kernel experience with Linux, Android, Chrome, or Windows systems
Experience with complex SOC system debugging

Responsibilities

Define, design, develop and verify features for new SoCs platforms, collaborating with hardware engineers and fellow software engineers
Follow the new SOC platforms all the way through the development process to the customer products that are used throughout the world
Be heavily involved with the early firmware, performance, power management, and all of system software required to produce world-class products
Have multiple opportunities to collaborate and communicate effectively with teams across the globe

Skills

Key technologies and capabilities for this role

CC++LinuxAndroidWindowsKernelSOC PlatformsFirmwarePower ManagementPerformance TuningSystem DebuggingGPU DriversDriver Development

Questions & Answers

Common questions about this position

What are the required qualifications for this Senior System Software Engineer role?

Candidates need a BS, MS or PhD in Computer Engineering, Computer Science, or related field, or equivalent experience, plus 5+ years of significant software development experience.

What key skills and experience are essential for this position?

Strong C and C++ programming, low-level driver and SOC system platform experience, familiarity with computer system architecture, microprocessor and microcontroller fundamentals, and kernel experience with Linux, Android, Chrome, or Windows systems are required.

What compensation and benefits does NVIDIA offer?

NVIDIA offers competitive salaries and a generous benefits package.

What is the work arrangement or location policy for this role?

This information is not specified in the job description.

What makes a candidate stand out for this NVIDIA position?

Stand out with background in complex SOC, AI & GPU computing system architecture, deep understanding of SOC firmware, power management, and performance, platform SW understanding, and experience delivering SOC system SW like performance tuning and power management.

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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