System Software Engineer – Embedded Power Management (RDSS Intern) at NVIDIA

Taipei, Taiwan

Apply Now

Not SpecifiedCompensation

Internship, Junior (1 to 2 years)Experience Level

InternshipJob Type

UnknownVisa

Semiconductor, AI, HardwareIndustries

Requirements

MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major
Software development experience with a significant focus on Linux
Excellent C programming/debugging skills within Linux kernel and user space software
Background with working on embedded systems and ARM processor specific
System-level debugging experience and problem-solving skills
Excellent communication skills
Ways to stand out
Experience in working with the Linux and open-source software communities
Understanding of the Linux power management features (scheduler, dynamic frequency scaling, runtime power management, suspend to RAM), factors influencing power efficiency at chip and platform

Responsibilities

Work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms
Implement power and thermal management software features in Linux Kernel and user space
Collaborate with power architects, hardware and software engineers on usecase power estimation, power and performance optimization

Skills

Key technologies and capabilities for this role

Linux KernelC ProgrammingEmbedded SystemsARMPower ManagementThermal ManagementSystem DebuggingLinux User Space

Questions & Answers

Common questions about this position

What education is required for this System Software Engineer intern role?

A Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or a related software/hardware engineering major is required.

What are the key skills needed for this position?

Candidates need software development experience focused on Linux, excellent C programming and debugging skills in Linux kernel and user space, background in embedded systems and ARM processors, and system-level debugging experience.

What does the role involve on a daily basis?

You will work with Tegra SoC and NVIDIA embedded platforms, implement power and thermal management software in Linux kernel and user space, and collaborate with power architects, hardware, and software engineers on power estimation and optimization.

What is the compensation and benefits like at NVIDIA?

NVIDIA offers competitive salaries and a generous benefits package.

What makes a candidate stand out for this intern position?

Experience working with Linux and open-source communities, plus understanding of Linux power management features like scheduler, dynamic frequency scaling, runtime power management, suspend to RAM, and factors influencing power efficiency stand out.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free