System Software Engineer - GPU and SOC

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a System Software Engineer at NVIDIA, you will develop SOC drivers, build automation tools, support OS driver development, and collaborate with global teams. You will work on architecture definition, simulation, and triage across various technology verticals, ensuring robust product development.
Summary Generated by Built In

NVIDIA is searching for highly motivated, creative engineers to join the Platform Software team. You will work with a team of hardworking software engineers working on all aspects of SOC and system, and technology verticals. As someone who is hardworking and passionate about their craft, you will design key aspects of our SOC drivers, BSP, sophisticated CI/CD system, as well as collaborating with key partners and OEM customers. You should demonstrate the ability to excel in an environment with fast pace and agility.

What you'll be doing:

  • Developing and triaging platform drivers which goes into SOCs

  • Building sophisticated automation triage tools and issue packetizations 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

  • Assist Boot KPIs, Security and OS drivers

  • Supporting many ecosystems related verticals

  • You will follow the devices all the way through from pre-silicon to bringup to production, in products across different business verticals.

  • Be heavily involved in architecture definition and early modeling, simulation required to create our groundbreaking products

  • Multiple opportunities to collaborate and communicate effectively with teams from all around the globe

What we need to see:

  • BS or MS degree in Computer Engineering, Computer Science, or equivalent experience

  • Strong understanding on ARM microarchitecture as well as understanding of ARM exception levels

  • Background in solving problems that apply to large complex systems deployed at scale.

  • Strong C/C++ and Python programming skills as well as having shown initiative in pursuing independent coding projects

  • Good understanding of ACPI as Device tree concepts

  • Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)

  • Strong Operating systems fundamentals with Kernel , Hypervisor experience on Windows systems as well as Linux systems

  • Hands on experience on debuggers like GDB, WinDBG as well compilers like GCC, MSVC, LLVM etc

  • Good understanding of SOC architecture spanning across Boot, Security and OS

  • 5+ years of meaningful software development experience

Ways to stand out from the crowd:

  • Background and strength with sophisticated system-level debugging is invaluable

  • Experience working on system level reliability and resiliency features.

  • Familiarity with system level security concepts

  • Experience with embedded system SW concepts.


NVIDIA is widely considered to be one of the technology world’s most desirable employers. NVIDIA is also an equal opportunity employer. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

C
C++
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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