Nvidia is hiring a
Senior ML Platform Engineer, AI - MLOps
At NVIDIA, we pride ourselves on data-driven decision-making, and the data science platform team is at the heart of this initiative. We are looking for an excellent Sr. ML Platform Engineer with expertise in AI, MLOps, cloud computing, and GPU acceleration! Our platform serves as the basis for advanced real time data analytics, streaming, data lake and sophisticated ML/AI training with offline/online inferencing for NVIDIA's cloud services like Cloud gaming, Cloud Deep Learning, Autonomous Vehicles, Omniverse etc. As a ML Platform Engineer, you'll design and build enterprise-level AI solutions using groundbreaking NVIDIA technology. You'll work with internal engineering teams 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 serverless solutions
Creating microservices for task-specific AI cloud services
Improving service reliability, observability, develop UI and APIs to improve user experience
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
Basic understanding of ML/DL training and inferencing concepts
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
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, Java, Go
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
Experience with serverless computing
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!The base salary range is $160,000 - $247,250. 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.
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