System Software Engineer - Data Center Diagnostics at NVIDIA

We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU/SOC or high performance computing server would see in its life cycle. The best candidates will have strong C/C++ programming skills, thorough knowledge of graphics concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation PC/hardware/embedded architecture. Excellent communication skills and a dedication to meticulous engineering practices are a requirement. As a test automation software engineer, you will extensively use your knowledge of operating systems, algorithms, computer architecture and programming skills to provide robust and efficient solutions to validate and test next generation processors.

What you'll be doing:

• Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products.

• Develop and drive quality improvement initiatives

• Collaboration with teams across the company to plan and drive software objectives for the team

• Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization.

• Assess new hardware features and architect diagnostic solutions using pre-beta driver extensions.

• This job will require an understanding of our hardware and software architectures.

What we need to see:

• B. Tech or M. Tech degree in one of following areas: Electrical Engineering, Computer Engineering, Computer Science or equivalent experience.

• 12+ years of embedded software experience and passion about design and development of system software, device drivers etc.

• Strong C / C++ programming skills.

• Familiarity with PC architecture, and ability to work close to the hardware.

• Background with PCIe, NVLink or server product technologies like Infini Band and Ethernet

• Having Networking skills and understanding of data packet processing pipeline -- is a plus.

• Having DMA and RDMA skills

• Thorough understanding of computer architecture, operating system fundamentals, algorithms

• Very strong problem solving and debugging skills

• Previous experience of working on a large system software code base is preferable

• Ability to self-manage, show leadership, and have good interpersonal skills

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing.