Senior Software Engineer, Bare Metal Automation - DGX Cloud
at Nvidia
š Santa Clara, United States
$148,000-276,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Software Development @ 4 Go @ 4 Python @ 4 Algorithms @ 4 Data Structures @ 4 Distributed Systems @ 4 Hiring @ 4 Communication @ 7 Mathematics @ 4 API @ 4Details
NVIDIA is hiring experienced software engineers with bare metal hardware experience to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with automating bare metal hardware. This includes managing software/firmware versions, writing repeatable and efficient tests and benchmarks and programming using libraries and APIs exposed by baseboard management controllers.
We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. If you're creative, passionate about GPU hardware, and love having fun, please apply today!
For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.
Responsibilities
- You will be part of the DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. This includes working on custom software related to managing fleets of GPU nodes.
- Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry.
- Working with teams across NVIDIA to ensure production AI clusters run reliably and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process.
Requirements
- Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work. Software development experience with bare metal hardware APIs and frameworks preferably on GPU servers.
- Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies.
- 5+ years in a similar role and experience on large-scale production systems. Experience with common software engineering principles, tools and techniques.
- You possess a BS in Computer Science, Engineering, Physics, Mathematics or a comparable Degree or equivalent experience.
- Technical knowledge, including a systems programming language (Go, Python) and a solid understanding of data structures and algorithms.
Ways to stand out from the crowd
- Technical competency in managing and automating large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of managing large fleets of bare metal hardware.
- Proven operational excellence in maintaining reliable and performant AI infrastructure.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want to hear from you!