Senior Software Engineer, Bare Metal Automation - DGX Cloud

at Nvidia
USD 184,000-356,500 per year
SENIOR
āœ… On-site

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 @ 4 GPU @ 4

Details

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

  • Be part of a DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads, including working on custom software related to managing fleets of GPU nodes.
  • Implement monitoring and health management capabilities to enable industry-leading reliability, availability, and scalability of GPU assets, harnessing multiple data streams from GPU hardware diagnostics to cluster and network telemetry.
  • Work with teams across NVIDIA to ensure production AI clusters run reliably and consistently with maximum performance.
  • Evaluate system failures and improve 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.
  • Experience managing software/firmware versions, writing repeatable tests and benchmarks, and programming using libraries/APIs exposed by baseboard management controllers (BMCs).
  • Highly motivated with strong communication skills; ability to work successfully with cross-functional teams, principals, and architects across organizational boundaries and geographies.
  • 8+ years in similar roles and experience on large-scale production systems.
  • 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

  • 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.

Compensation & Additional Information

  • Base salary range (Level 4): 184,000 USD - 287,500 USD.
  • Base salary range (Level 5): 224,000 USD - 356,500 USD.
  • You will also be eligible for equity and benefits.
  • Applications for this job will be accepted at least until October 23, 2025.

Equal Opportunity

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate in 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.