Senior System Software Engineer, Cloud

We are the Picasso team and are looking for a Senior System Software Engineer to join our burgeoning team and develop our Generative AI solutions. NVIDIA has been redefining accelerated computing and powering the engines of artificial intelligence. We are developing a host of solutions including text-to-image, -video and -3D, that are trained using clean data provided by our industry partners and deployed for fast inference and fine-tuning. Come join us in these exciting times and make a sizable difference in the exploding world of Machine Learning! Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you will be immersed in a diverse, cultivating environment where everyone is inspired to do their life's work.

In this role, you will work with NVIDIA Cloud Functions and Web Services teams to design and deploy AI based APIs for training, fine-tuning and inferencing of our Picasso-Edify products on public and private cloud, based on groundbreaking NVIDIA technology. You will also work with our customers and AI partners to improve and scale up our Cloud Services by driving adoption for end-to-end Machine Learning and Deep Learning solutions in the cloud.

What You'll Be Doing

Set and drive best practices within engineering organization for cloud deploymentsParticipate in code reviews, debugging of production systems, coordinating incident management follow-up and contributing to the software system directly through code contributionsBuild and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platformsUse your skills in Web Services, Kubernetes, and orchestration to deploy hybrid solutionsWork as a customer technical specialist to address customer workload, security and privacy and architectural requirements and understand and resolve their technical challengesDebug service disruption, bottlenecks, and provide fixesWork with NVIDIA’s product and architecture teams by providing customer requirements, feedback and prioritizationWhat We Need To See

8+ years of working experience in cloud engineering rolesA Bachelors or Masters Degree in Engineering, Computer Science or related field, or equivalent experienceExperience in authentication and identity management and cloud securityExperience in using data analytics tools for debugging and dashboarding purposesExposure to cloud storage and databasesKnowledge of Deep Learning and Machine Learning, with experience using deep learning frameworks such as PyTorch, JAX or TensorFlowStrong written and oral communication skills with the ability to optimally collaborate with customers, management and engineeringExcellent verbal communication and presentation skills in EnglishWays To Stand Out From The Crowd

Working experience with major or tier-2 cloud service providers (such as AWS, GCP and Azure), or with AI Datacenter Providers or HPC DatacentersExperience with AI frameworks and tools on GPUsThe base salary range is 176,000 USD - 333,500 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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