Cloud Services Solutions Architect
3 weeks ago
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 platforms
Using your skills in AI, MLOps, ML engineering, DevOps, Kubernetes, and orchestration to deploy hybrid solutions
Collaborate 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 blogs
What we need to see:
8+ years of foundational expertise in Engineering, Computer Science, Data Science, or a related field
BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience
Expertise in Deep Learning and Machine Learning, with experience using deep learning frameworks such as TensorFlow or PyTorch
Established track record working with AI/MLOps GPU accelerated solutions in cloud computing environments including AWS, GCP, and Azure
Experience with virtualization and cluster management tools, including Docker/Containers, Kubernetes, and Ansible
Strong analytical and problem-solving skills
Ability to multitask efficiently in a wide-ranging environment
Clear written and oral communication skills with a strong desire to share knowledge with clients, partners, and co-workers
Ways to stand out from the crowd:
Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux
Proven expertise through projects or Open Source contributions in cloud-based GPU workloads, Kubernetes, or other related areas
Experience with AI frameworks and tools on GPUs
Proactive ability to learn quickly and tackle advanced problems.
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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