Cloud Services Solutions Architect, AI and ML Stack

Join our team at NVIDIA as a Cloud Services Solutions Architect with expertise in AI, MLOps, cloud computing, and GPU acceleration! As a Solutions Architect, you'll design and build enterprise-level AI solutions using groundbreaking NVIDIA technology. You'll work with customers and partners to deploy and operationalize AI at scale by driving adoption for end-to-end Machine Learning and Deep Learning solutions in the cloud!What you'll be doing:Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platformsUsing your skills in AI, MLOps, ML engineering, DevOps, Kubernetes, and orchestration to deploy hybrid solutionsCollaborate with executives and engineering to solve powerful problems and help bring NVIDIA's technology to life.Detail your work and share your knowledge by delivering demos, assisting with POCs, or writing papers and developer blogsWhat we need to see:8+ years of foundational expertise in Engineering, Computer Science, Data Science, or a related fieldBS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experienceExpertise in Deep Learning and Machine Learning, with experience using deep learning frameworks such as TensorFlow or PyTorchEstablished track record working with AI/MLOps GPU accelerated solutions in cloud computing environments including AWS, GCP, and AzureExperience with virtualization and cluster management tools, including Docker/Containers, Kubernetes, and AnsibleStrong analytical and problem-solving skillsAbility to multitask efficiently in a wide-ranging environmentClear written and oral communication skills with a strong desire to share knowledge with clients, partners, and co-workersWays to stand out from the crowd:Strong coding and debugging skills, including experience with Python, C/C++, Bash, and LinuxProven expertise through projects or Open Source contributions in cloud-based GPU workloads, Kubernetes, or other related areasExperience with AI frameworks and tools on GPUsProactive ability to learn quickly and tackle advanced problems.The base salary range is $176,000 - $333,500. 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 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.