Senior System Software Engineer at NVIDIA

Taipei, Taiwan

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, HPC, SemiconductorsIndustries

Requirements

  • BS/MS in EE/CS or equivalent experience
  • 3+ years of industry related experience
  • Strong C/C++ programming skills
  • Experience with low level / driver level programming
  • Familiarity with SOC architecture, and ability to work close to the hardware
  • Strong problem-solving and debugging skills
  • Expert communication, interpersonal and planning skills
  • Ways to stand out
  • Solid understanding of ARM platform and Linux Kernel internals
  • Experience in Pre-Silicon / Post-Silicon bringup planning, system validation testing, and execution of complex SoCs and platforms
  • Consistent record of learning new technologies on the job in a time-bound manner
  • Experience working in teams on large SW projects as well as an understanding of SW product release lifecycle

Responsibilities

  • Designing and developing test and framework that can most efficiently validate and stress SOC/System and to see them through the full software development lifecycle. This can include working in user-space, kernel, firmware or boot software of SOC
  • Architecting and driving new diagnostic software solutions that cater to all phases of the product life cycle - bring up, manufacturing, hardware qualification, failure analysis and custom platforms
  • Spearhead various initiatives to improve efficiency, robustness and user friendliness of the software we deliver for design validation, thermal & power characterization, manufacturing screening, and external customers bring up
  • Understand and participate in the debug /root cause analysis of very complex board/system level failures
  • Communicate optimally with various teams throughout the company, as well as customers and partners

Skills

C++
C
Operating Systems
Kernel Programming
Computer Architecture
Firmware
Boot Software
SOC
Diagnostics
System Validation

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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