We are now looking for a Senior Cloud Software Engineer, 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:

• Designing and developing systems to be scalable in different cloud environments.

• Developing throughout the software stack, from the user experience down to the cluster and database layers

• Building automation for build, test, integration, and release processes for publicly distributed deep learning models.

• Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Gitlab CI)

• Advancing state of the art in those industry-standard tools

What we need to see:

• BS or equivalent experience or higher degree in Computer Science or Computer Engineering

• 6+ years of relevant experience.

• Strong programming skills in Python, TypeScript.

• Experience with AWS, Azure, or GCP cloud architecture and management.

• 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:

• Full stack experience

• Background with distributed systems and cluster/cloud computing, especially with Kubernetes

• Experience designing and developing unit and integration test frameworks

• Knowledge of GPU computing systems

• Experience with mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, L4T, or similar)

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!

#LI-Hybrid

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.