Software Engineer for Cloud Platforms, Deep Learning Applications - New College Graduate 2024
US, CA, Santa Clara
NVIDIA
NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.We are now looking for a 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. 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:
Decouple applications from infrastructure and abstract configuration to simplify microservice development
Develop and implement security tooling to safeguard our cloud infrastructure and applications against threats.
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.
Design and implement CI/CD pipelines, ensuring a robust, automated, and efficient delivery process.
Architect solutions to improve the developer experience and streamline application delivery through GitOps
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
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.
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 104,000 USD - 189,750 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.Tags: Architecture AWS Azure CI/CD CloudFormation Computer Science Deep Learning Distributed Systems Engineering GCP Kubernetes Microservices Pipelines Python Security Shell scripting TensorRT Terraform TypeScript
Perks/benefits: Career development Equity / stock options
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