Website FinanceInsightInc FinanceInsight LLC
Empowering financial decisions
Job Description
About the Role
NVIDIA is seeking a Lead AI/ML Engineer to advance our core initiatives in generative AI and autonomous systems. Join a team pushing the boundaries of accelerated computing to solve challenges in healthcare, robotics, and large language models.
Responsibilities
- Design and deploy scalable ML models for real-time inference systems
- Lead architectural decisions for GPU-optimized deep learning frameworks
- Develop novel algorithms for neural network quantization and distributed training
- Collaborate with hardware teams to co-design next-generation AI processors
- Implement MLOps pipelines using Kubernetes and NVIDIA DGX systems
- Present technical breakthroughs at internal AI conferences and industry events
- Ensure compliance with AI ethics benchmarks and security protocols
Requirements
- PhD in Computer Science or 7+ years industry experience with ML deployment
- Expertise in TensorFlow/PyTorch with CUDA optimization experience
- Proven success scaling models across multi-GPU/TPU environments
- Deep knowledge of transformer architectures and reinforcement learning
- Fluency in C++/Python and ML libraries like Triton Inference Server
- Preferred: Publications at NeurIPS/ICML or Open Source ML contributions
- Preferred: Experience with Omniverse or CUDA-X AI frameworks
Benefits
- $300k total compensation package with RSU equity grants
- Flexible hybrid schedule with 4 weeks remote work annually
- Premium medical/dental including fertility and transgender healthcare
- $10k/annual learning stipend for certifications/conferences
- Onsite NVIDIA GPU-powered workstations provided
- Wellness perks: Onsite gym, meditation pods, biotech snacks
- Relocation assistance and immigrant visa sponsorship
About the Company
NVIDIA pioneered GPU-accelerated computing, now leading the AI revolution across industries from gaming to quantum computing. Our 20,000+ global team fosters a culture of relentless innovation, ranking #1 on Forbes’ Most Innovative Companies list. We champion diversity in engineering through initiatives like the NVIDIA AI Labs network.
Job ID: lead-artificial-intelligence-machine-learning-engineer-TcJDR
