Senior System Software Engineer

Key Skills

Aartificial intelligence, Algorithms, C++, Data structuring, Deep Learning, Effective communication skills, Generative AI, GPUs, Machine learning techniques, SQL

Job Description

NVIDIA is a pioneering company that revolutionized the computing world with its GPU technology, driving the growth of the PC gaming market and redefining modern computer graphics. In recent times, GPU deep learning has propelled AI into the next era of computing, with GPUs serving as the brains behind AI-powered applications across a wide range of industries, including high performance computing, robotics, autonomous vehicles, and more. Today, NVIDIA is renowned as the AI computing company.

The WinAI team is looking for a Senior Systems Software Engineer who is passionate about Client AI Inferencing on Windows PCs. This involves working with smaller models that have limited compute and memory resources and need high accuracy and low latency. This requires close collaboration with NVIDIA research and academia to create such models first and then efforts from different teams to make them run on windows and at SOL. The main goals for the team are to integrate inferencing from such models into high-quality gaming applications with the best performance and to distribute these workloads seamlessly across multiple local devices and the cloud. Come and join the team and see how you can make a lasting impact in these areas.

What You’ll Be Doing:

• Collaborate with multi-functional teams to build AI inferencing platforms which will help execute varied model pipelines seamlessly across different local and cloud endpoints.

• Design and implement high-quality, efficient, and reliable software systems following the best software development practices adhering to industry standards.

• Partner with AI application developers from different focus areas – gaming creator, and productivity– to develop inferencing platforms targeting high developer adoption.

• Collaborate with Microsoft to drive the advancements in building and developing platforms for creating and deploying AI inferencing applications.

• Ensure the effective deployment of directed tests through collaboration with the automation team, thereby ensuring the robustness of automated testing.

What We Need To See:

• Bachelor's, Master's, or PhD in Electrical Engineering, Computer Science/Engineering, Mathematics, Physics, or a related field (or equivalent experience).

• 5+ years of proven experience with proficiency in building AI inferencing pipelines and applications using ML/DL frameworks.

• Excellent C++ programming and debugging skills with a strong understanding of data structures and algorithms.

• Strong analytical and problem-solving abilities, with the capacity to multitask effectively in a dynamic environment.

• Outstanding written and oral communication skills, enabling effective collaboration with management and engineering teams.

Ways To Stand Out From The Crowd:

• Understanding of modern techniques in Machine Learning, Deep Neural Networks and Generative AI with relevant contributions to major open-source projects will be a plus

• Consistent track record of delivering end to end products with geographically distributed teams in multinational product companies

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.