We are looking for enthusiastic software engineers with proficiency and interest in OS/System Software concepts at the Hardware/Software boundary to join the GPU Software team. You will be working with our production GPU kernel driver and embedded software to develop secure, scalable and portable software solutions that maximize hardware and software performance. Ideal candidates would have a strong understanding of OS and Computer Architecture concepts together with excellent C or C++ coding skills. An interest and knowledge of security concepts and embedded software development is a strong bonus.

What you'll be doing:

• Develop and verify GPU features from initial design through deployment, collaborating globally with hardware and software teams to deliver world-class products

• Develop and lead the integration of complex system software components, collaborating across hardware and software teams to deliver robust, high-performance GPU and embedded system solutions while mentoring engineers and driving continuous quality improvements

• Help design and implement features for our GPUs; working with software and hardware engineering teams

• Evaluate, recommend, and develop methodologies and tools to measure and enhance security and quality of embedded and system software

• Identify vulnerabilities in our production kernel and embedded software, building proof of concepts, and working with teams to address them

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

What we need to see from you:

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

• 2+ years of industry experience.

• Software development experience

• You can demonstrate a hands-on technical background, excellent C programming, and low-level driver experience

• You are an asset if you have familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, dma, etc)

• Kernel experience with Linux, Android, Chrome, or Windows systems

• Experience with complex system-level debugging is invaluable

Ways to stand out from the crowd:

• Familiarity with kernel level security concepts; this includes testing techniques and a familiarity with static code analysis, dynamic analysis, fuzzing, negative testing and other techniques

• Background with embedded system SW concepts, e.g.: RTOS and resource constrained programming models

• Experience on virtualization platforms (XenServer, KVM, Hyper-V)

Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!