The NVIDIA Deep Learning / AI Software engineering organization is looking for software engineering talent to lead the bringup and delivery of NVIDIA's AI software stack on new generations of hardware architectures. As a software engineering leader, you will work with other departmental engineering leaders and program and product managers as a collaborative team to develop, analyze, optimize, and continually adapt end-to-end delivery execution for our complex software stack. Your work will directly impact the time to market, quality, and performance of the software that NVIDIA launches with each new generation of hardware.

What you will be doing:

Coordinate and lead highly technical multi-functional teams

Drive continuous improvement of execution to enable ever-faster delivery of ever-more-complex software with world-class quality

Supervise engineering and program execution for future-generation software delivery, creatively and collaboratively optimizing plans on the fly

Review new product designs for technical feasibility on behalf of DL/AI software organization with an eye for cross-functional complexity and its impact on ongoing development

Advise senior management on design directions, software readiness, and delivery plans

Present to internal collaborators and NVIDIA leadership on roadmaps, vision, and design decisions; lead technical deep dives and lessons learned to align teams

Optimize resource sharing and utilization across teams to reduce time to delivery

What we need to see:

15+ yrs of experience with designing and building complex software systems, especially in C++ and Python

Practical experience with industry-standard semiconductor development workflows and the process of system and application software bringup for next-gen hardware

BS/MS degree in Computer science or related areas (or equivalent experience)

Proven track record driving multi-functional teams across disparate divisions and fields within a company, working collaboratively and coordinating effectively

Highly motivated with excellent verbal and written communication skills

Ability to detect problems and misalignments and guide engineering teams across the entire AI software and hardware stack toward creative solutions

Ways to stand out from the crowd:

Prior experience developing DL/AI systems software, including frameworks, libraries, or kernels for mathematical or communication operators used in DL/AI

Deep understanding of software performance analysis and optimization

Solid understanding of modern Program Management methodologies and tools and a passion for engineering process optimization

Understanding of distributed systems and High Performance Computing workloads

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. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and passionate about delivering complex software, we want to hear from you!

The base salary range is 272,000 USD - 425,500 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.