Posted:
3/6/2024, 4:00:00 PM
Location(s):
California, United States
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
Software Engineering
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, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.
We are seeking a senior software engineer to work in our CUDA system software team. You will have strong system software programming skills, a thorough understanding of operating systems and kernel programming, a deep understanding of hardware architecture, and excellent communication and planning skills. You will work closely with both hardware engineers and other software engineers to design, develop, debug and deploy many functional aspects of NVIDIA hardware and mobile system-on-chip (SOC) devices.
What you'll be doing:
You can expect be heavily involved through all aspects of development of our world-class products, ranging from design feedback, early modeling and simulation of hardware in pre-silicon environments, through early silicon bringup and finally deployment of features in production software that is delivered to end users. You should be eager to learn about, and contribute to, the design of new compute and graphics drivers and new GPU architectures.
What we need to see:
Bachelor (or equivalent experience) or Masters of Science in Computer Science or Computer Engineering, (a PhD is a plus)
3+ years of relevant systems software development experience
Expert C programming skills, with strong knowledge of parallel programming
Excellent knowledge of computer system architectures
Low-level operating system knowledge a requirement
You have experience with complex system-level development and debugging
We would like to see applicants with a strong ability to multitask and perform well under pressure
Be self driven, with a focus on execution and quality, with great communication and planning skills.
Ways to stand out from the crowd:
Engineers with CUDA experience are always a plus
Hardware simulation, emulation, and bringup experience is desirable
Kernel experience with Linux, Android, Chrome, or Windows systems is helpful
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality