Experience with ml/dl frameworks like pytorch and tensorflow
You will work with top minds in the industry, helping them to accelerate their workflows and solve complex business challenges with NVIDIA's full-stack accelerated computing platform
Job Summary
You will work with top minds in the industry, helping them to accelerate their workflows and solve complex business challenges with NVIDIA's full-stack accelerated computing platform.
Partner with NVIDIA's engineering, product, and sales teams to secure design wins and drive the adoption of NVIDIA technology within the AdTech and Media distribution ecosystems.
NVIDIA is one of the most desirable employers in the technology world with forward-thinking and hardworking people, offering a creative and autonomous work environment.
Matching Summary
You will work with top minds in the industry, helping them to accelerate their workflows and solve complex business challenges with NVIDIA's full-stack accelerated computing platform.
Salary
Base: 224,000 USD - 356,500 USD; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits
Skills & Requirements
Must-have
Production-level coding in Python and C++
Deep understanding of AdTech and Media workflows
Experience with ML/DL frameworks like PyTorch and TensorFlow
Deploying ML/DL models at scale on cloud or on-premise
Technical advising and proof-of-concept evaluations
Nice-to-have
Hands-on experience with NVIDIA GPU architectures and CUDA-X
Familiarity with MLOps tools like Docker and Kubernetes
Knowledge of large-scale data processing and distributed systems
Strong public profile with blogs or conference talks
Customer-facing technical relationship building
Key Requirements
BS/MS/PhD or equivalent experience in relevant fields
10+ years experience as ML/Software Engineer or Solutions Architect
Proficiency in Python and/or C++ coding
Experience with ML/DL algorithms and frameworks
Excellent communication and presentation skills
Experience deploying ML/DL models at scale
Not specified work authorization or citizenship requirements