NVIDIA is seeking a Senior DL Algorithms Engineer to optimize Deep Learning workloads and maximize performance across their hardware/software stack. This role is perfect for someone who thrives on performance analysis and optimization, working with cutting-edge AI technology. As part of NVIDIA's datacenter business, you'll play a crucial role in optimizing datacenter deployments and contributing to hardware design and system software development.
The position involves working with NVIDIA Inference Microservices (NIMs), delivering optimized DL inference solutions, and collaborating across multiple teams including DL research, CUDA Kernel development, and Silicon Architecture. You'll be responsible for analyzing performance characteristics, benchmarking state-of-the-art DL models, and developing tools to scale the delivery of optimized models.
NVIDIA offers a competitive base salary range of $148,000 - $287,500 USD, plus equity and benefits. The company is known for being one of technology's most desirable employers, with some of the industry's most innovative minds. They foster a diverse work environment and are committed to equal opportunity employment.
This role is ideal for candidates with a PhD in CS/EE or equivalent experience, strong background in deep learning and neural networks, and expertise in computer architecture. Experience with LLMs, VLMs, RAG, and drug discovery models is highly valued, as is knowledge of MLOps and GPU programming. You'll be at the forefront of AI innovation, working with cutting-edge technology and directly impacting NVIDIA's hardware and software roadmap.