Senior Software Development Engineer in Test

We are seeking a highly skilled and hard-working Senior Test Developer / test engineer to join our multifaceted Enterprise Software QA team.

This role offers an outstanding opportunity to leave your mark on the design, construction, optimization and testing of large-scale infrastructure for various foundational NVIDIA unified cloud services and data center offerings.

If you are a dedicated engineer with strong expertise in cloud infrastructure and distributed systems and want to apply your skills with AI tools, this role could fit you perfectly.

You will thrive in an exciting, innovative environment.

What you'll be doing:

Work with development teams on test plans for all layers of SW stack for cloud infrastructure, execution, reviews, failure analysis and assessing overall quality and risk.

Work with customer PMs on software issues including technical feedback from OEMs and CSPs.

Develop key benchmarks to track execution and deploy process improvements to improve efficiency

Leverage AI skills to expedite the test scope, test plan, execution and automation workflows.

Lead NVIDIA Cloud and Data Center bring up activities which will involve validation, reporting, working with engineering to debug issues, providing design input at times, adding coverage in different areas.

Design, develop and maintain CI/CD pipelines for continuous testing in cloud environments when needed.

Perform performance, scalability, and reliability testing of cloud services.

Implement and maintain test environments in cloud platforms such as AWS, Azure, or Google Cloud.

Supervise the infrastructure to alert on significant events, ensuring the highest level of system performance and reliability.

Work with various different partner teams to ensure availability of clusters to test on and take the lead in resolve all issues.

Working with teams to ensure quality of the cloud products getting delivered focusing on critical areas like security, storage, workloads, performance on latest SW and FW components.

What we need to see:

A Master's or Ph.D. in Computer Science or a related field, or equivalent experience.

with AI development tools used in creating test cases, automating test cases, code coverage, triaging.

8+ years of hands-on experience in cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible.

2+ years strong experience with cloud infrastructure platforms like AWS, Azure, Google, OCI Cloud.

Hands-on experience with network, storage, security, cluster configuration and debugging, cloud infrastructure management tools like terraform, ansible.

Expertise in administering, operating, and configuring Kubernetes.

in CI/CD tools such as Gitlab and Jenkins and the GitOps model.

Proficiency in various monitoring tools:Prometheus, Grafana, Cloudwatch, and Thanos.

Proficiency in debugging issues involving networks, DHCP, DNS, HTTP, Linux, and containers.

Ways to Stand Out from the Crowd:

Familiarity with "Base Command Manager" for managing and monitoring high performance computing.

in writing automation for web application using tools like selenium, playwright.

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You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.