NVIDIA

Senior System Software Engineer - GPU and SoC

California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, Hardware, Embedded SystemsIndustries

Position Overview

  • Location Type: [Not Specified]
  • Employment Type: Full Time
  • Company: NVIDIA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Requirements

  • Education: BS or MS degree in Computer Engineering, Computer Science, or equivalent experience.
  • Architecture Knowledge: Strong understanding of ARM microarchitecture and ARM exception levels.
  • System Experience: Background in solving problems for large, complex systems deployed at scale.
  • Testing & Validation: Experience in testing and validating drivers across various operating system software.
  • Programming Skills: Strong C/C++ and Python programming skills.
  • System Concepts: Good understanding of ACPI and Device Tree concepts.
  • Fundamentals: Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.).
  • Operating Systems: Strong operating systems fundamentals with Kernel and Hypervisor experience on both Windows and Linux systems.
  • Debugging & Compilers: Hands-on experience with debuggers like GDB, WinDBG, and compilers like GCC, MSVC, LLVM, etc.
  • SOC Architecture: Good understanding of SOC architecture spanning across Boot and Security.

Responsibilities

  • Developing and triaging platform drivers for SOCs.
  • Building sophisticated automation triage tools and isolating issues for FW and OS drivers.
  • Supporting OS driver development, bring-up, and triaging of Platform and Multimedia drivers.
  • Supporting the OEM ecosystem and providing innovative solutions.
  • Assisting with Boot KPIs, Security, and OS drivers.
  • Supporting multiple ecosystem-related verticals.
  • Following devices from pre-silicon through bring-up to production across different business verticals.
  • Being heavily involved in architecture definition and early modeling/simulation for groundbreaking products.
  • Collaborating with teams globally.

Application Instructions

  • [Not Specified - Please refer to NVIDIA's Careers website for application instructions.]

Skills

ARM microarchitecture
ARM exception levels
Large complex systems
Driver testing and validation
C
C++
Python
ACPI
Device tree
Computer system architecture
Microprocessor
Microcontroller fundamentals
Caches
Buses
Memory controllers
DMA
Operating systems fundamentals
Kernel
Hypervisor
Windows
Linux
Debuggers (GDB, WinDBG)
Compilers (GCC, MSVC, LLVM)
SOC architecture
Boot
Security

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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