Senior Software Engineer – AI Infrastructure and Tooling

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Go @ 6 Linux @ 6 Prometheus @ 4 DevOps @ 4 Terraform @ 6 Python @ 6 Distributed Systems @ 7 Machine Learning @ 4 AWS @ 4 SRE @ 4 API @ 6

Details

We are looking for a highly motivated AI infrastructure automation and tools development expert to join us. As a seasoned professional with a strong passion for designing and implementing cutting-edge infrastructure solutions, you will play a key role in architecting and driving advancements in our large-scale cloud and on-premise computing clusters. We are a small and fast moving team, and we own production excellence of everything we develop, on all layers from OS and up to the services. Please apply if you are passionate about operational reliability, building AWS infrastructure automation and deployment tools and working on new technologies and Cloud Native applications. The solutions you propose and build will directly impact the efficiency of the NVIDIA Autonomous Vehicles development team!

Responsibilities

  • You will be applying strong programming skills and a deep understanding of the distributed systems design for crafting and building production-grade software.
  • Focus on designing and implementing Continuous Deployments (CD) pipelines to ensure flawless and efficient software delivery.
  • Responsible for the big picture of how our systems relate to each other and utilizing a breadth of tools and approaches to tackle a broad spectrum of problems.

Requirements

  • BS or MS in the CS/CE/EE or equivalent experience.
  • 4+ years of k8s based computing platforms tooling/APIs development.
  • At least 4 years building automation software for the cloud with Terraform, Python, Go.
  • Strong AWS fundamentals: IAM, VPC, RDS, S3, CDN, EC2.
  • Expert knowledge of DevOps principles, tools, and methodologies.
  • Working experience with Continuous Deployments (CD) pipelines.
  • Good understanding of the Traffic Engineering solutions. Load Balancing, Layer7 proxies.
  • In depth understanding of all layers of the Internet protocols.
  • Operational expertise with Observability, Prometheus ecosystem, logs ingestion at scale.
  • Proficiency with Linux environment.
  • Excellent written and verbal interpersonal skills.
  • You'll be a fun and motivated teammate who enjoys a challenge and celebrates success.

Ways to stand out from the crowd:

  • Previous experience with building sophisticated tooling and SRE automation on large GPU/CPU clusters.
  • You have working experience with Agentic AI tools for the computing infrastructure management.
  • Artifactory Management at scale.
  • Good understanding of cloud and datacenter security concepts, AWS is preferred.
  • Solid understanding of the large scale k8s observability platforms.

NVIDIA is the leader in AI, machine learning and datacenter acceleration! NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!