Senior Software Engineer for Cloud Platforms, Deep Learning Applications
We are now looking for a Senior Software Engineer for Cloud Platforms, Deep Learning Applications!
NVIDIA's Deep Learning Libraries Group is seeking excellent software engineers to enable the next wave of NVIDIA’s highest performing deep learning libraries and applications. This role is for the TensorRT Cloud team. The mission is to design and develop scalable, modular infrastructure that streamlines delivery of Nvidia optimized models to customers in different cloud environments. Work will need to be done across NVIDIA’s diverse set of platforms, from Drive AGX for autonomous vehicles to DGX servers for datacenters. Join our technically diverse team of software engineers and infrastructure experts to design the systems that enable NVIDIA to stay ahead of the competition as we deliver the world's fastest deep learning platforms.
What you'll be doing:
- Develop Infrastructure as Code (IaC) modules and scripts to automate the provisioning and management of cloud resources.
- Spearhead automation engineering initiatives to streamline and optimize deployment workflows.
- Manage, configure, deploy, and provision Kubernetes clusters at scale.
- Engineer novel solutions for cloud deployments, using innovative technologies and methodologies.
- Lead the design and implementation of CI/CD pipelines, ensuring a robust, automated, and efficient delivery process.
- Develop and implement security tooling to safeguard our cloud infrastructure and applications against threats.
- Architect solutions to improve the developer experience and streamline application delivery through GitOps.
- Decouple applications from infrastructure and abstract configuration to simplify microservice development.
- Engage with cross-functional teams to ensure seamless integration across all major cloud service providers.
What we need to see:
- BS or equivalent experience or higher degree in Computer Science or Computer Engineering.
- 5+ years of relevant experience.
- Proficient in one or more programming languages (e.g., Python, TypeScript, Go, Shell scripting).
- Proficient in Infrastructure as Code (IaC) practices and methodologies with 5+ years working with tooling such as Terraform, CloudFormation, etc.
- Experience with secrets management tools such as Hashicorp Vault, AWS SSM, etc.
- Familiarity with major cloud platforms and services (AWS, Azure, GCP, OCI).
- Strong understanding of container orchestration, microservices architecture, and CI/CD principles.
- Experience as an active contributor to a software project involving many developers.
- Excellent interpersonal skills and a collaborative, pragmatic approach to solving problems.
Ways to stand out from the crowd:
- Background with distributed systems and cluster/cloud computing, especially with Kubernetes.
- Experience designing and developing unit and integration test frameworks.
- Experience with mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, L4T, or similar).
- Fullstack experience.
This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many compute software projects. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous, and love a challenge, come join our team!
The base salary range is 164,000 USD - 310,500 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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