Website CloudOpsInc CloudOps Solutions
Building the future on the cloud
Job Description
About the Role
Develop cutting-edge AI solutions at NVIDIA’s AI Research Lab, working on applications from autonomous vehicles to generative models.
Responsibilities
- Design ML models for computer vision applications
- Optimize CUDA kernels for Tensor Core GPUs
- Collaborate with hardware teams on next-gen AI chips
- Implement distributed training frameworks
- Publish papers at top ML conferences
Requirements
- PhD in Computer Science or related field
- 5+ years industry experience with PyTorch/TensorFlow
- Expertise in Python/C++ and GPU programming
- Publications at NeurIPS/CVPR/ICML
- Experience with multimodal AI systems
Benefits
- Equity compensation packages
- Flexible hybrid work model
- State-of-the-art GPU cluster access
- $10k annual tech stipend
- Onsite wellness center
About the Company
NVIDIA pioneered accelerated computing to solve challenges nobody else can. We’re now hiring the brightest minds to shape the future of AI and computer graphics.
Job ID: senior-machine-learning-engineer-002
