Senior Software Engineer – AI Infrastructure and Tooling

3 Weeks ago • 4 Years + • DevOps • $184,000 PA - $356,500 PA

Job Summary

Job Description

NVIDIA seeks a Senior Software Engineer specializing in AI infrastructure and tooling. This role involves designing and implementing cutting-edge infrastructure solutions for large-scale cloud and on-premise computing clusters. Responsibilities include crafting production-grade software using strong programming skills and distributed systems design expertise. The engineer will design and implement Continuous Deployment (CD) pipelines and ensure efficient software delivery. A deep understanding of systems, tools, and approaches to solve complex problems is essential. This position directly impacts the efficiency of NVIDIA's Autonomous Vehicles development team.
Must have:
  • 4+ years k8s based computing platforms tooling/APIs development
  • 4+ years building cloud automation software (Terraform, Python, Go)
  • Strong AWS fundamentals (IAM, VPC, RDS, S3, CDN, EC2)
  • DevOps principles, tools, and methodologies expertise
  • Continuous Deployments (CD) pipelines experience
  • Understanding of Traffic Engineering solutions
  • Observability, Prometheus, large-scale log ingestion expertise
  • Linux proficiency
Good to have:
  • Experience with tooling and SRE automation on large GPU/CPU clusters
  • Experience with Agentic AI tools for infrastructure management
  • Artifactory Management at scale
  • Understanding of cloud and datacenter security concepts
Perks:
  • Equity
  • Benefits

Job 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!

What you'll be doing:

  • 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.

What we need to see:

  • BS or MS in the CS/CE/EE or equivalent experience

  • 4+ years of the 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 eco system, 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!

The base salary range is 184,000 USD - 356,500 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.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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