Principal Cloud Engineer, HPC

NVIDIA is on the journey to build the best cloud offering for AI workloads and to bring its latest GPU technology to our clients as a set of managed services under the DGX Cloud umbrella. We want to be able to innovate on behalf of our clients and provide an easy no-hassle way of using the latest and greatest NVIDIA products through scalable managed self service APIs.

We are looking for a Principal HPC / Slurm engineer to drive the technical design and develop a new set of high performing cloud services for Artificial Intelligence and high performance computing. This is a unique opportunity to be a founding member of a team building at the intersection of a highly scalable fault tolerant cloud services and AI. We are looking for an engineer who has a deep understanding of large scale distributed cloud services, multi-tenant architectures, serverless compute. HPC experience is a plus.

What you'll be doing:

• Design and architect a set of new AI oriented compute services large training workloads

• Build the distributed computing infrastructure and training services for creating large scale distributed model training

• Plan and coordinate across multi-functional teams, partners and vendors for execution of infrastructure build-outs

• Work with engineering teams across all of NVIDIA to ensure their requirements are correctly translated into infrastructure needs

What we need to see:

• Solid technical foundation in distributed computing and storage, including substantial experience with all of the following: server systems, storage, I/O, networking, and system software

• Bachelors degree or equivalent experience

• 12+ years of system software engineering experience on large-scale production systems

• 12+ years of architecting high performance computing infrastructure at scale

• Proven experience in high performance computing, Deep Learning, and/or GPU accelerated computing domains

• Ability to understand and communicate complex designs, distributed infrastructure, and requirements to peers, customers, and vendors

• General shared storage knowledge such as NFS, LustreFS, GlusterFS, etc.

• Familiarity with system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO.

Ways to stand out from the crowd:

• Large-scale distributed system, HPC, ML and Training experience with Slurm and Kubernetes

• Deep knowledge of both software and hardware knowledge in HPC and ML infrastructure

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 great people like you to help us accelerate the next wave of artificial intelligence.

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.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.