Senior DL Algorithms Engineer - Cosmos
Job Description
NVIDIA is seeking a Senior DL Algorithms Engineer to join their team working on cutting-edge AI technologies. This role sits at the intersection of deep learning and high-performance computing, focusing on optimizing and deploying Large Language Models (LLMs), Vision-Language Models (VLMs), and World Foundation Models (WFMs) for production environments.
The position requires a deep technical background with at least 3 years of experience in deep learning or machine learning development. The ideal candidate will have advanced education (Master's or PhD) in Computer Science or related fields, with strong expertise in deep learning algorithms, transformer architectures, and model optimization techniques.
Key responsibilities include optimizing AI models for efficient inference, implementing datacenter-scale serving solutions, and collaborating across teams to bring research prototypes to production. The role involves working with NVIDIA's state-of-the-art GPU platforms and software frameworks like TensorRT, vLLM, and SGLang.
The compensation is highly competitive, with a base salary ranging from $148,000 to $287,500 USD depending on level and experience, plus equity benefits. This position offers the opportunity to work at the forefront of AI technology with the world leader in accelerated computing, contributing to transformative solutions across various industries.
Working at NVIDIA means joining a company that's pioneering the future of AI and digital twins, with a strong commitment to innovation and technical excellence. The role offers exposure to cutting-edge technology and the chance to work with some of the industry's best minds in deep learning and GPU computing.
Responsibilities For Senior DL Algorithms Engineer - Cosmos
- Optimize deep learning models for low-latency, high-throughput inference
- Convert, deploy, and optimize models using frameworks like TensorRT, TensorRT-LLM, vLLM, and SGLang
- Analyze and optimize performance of deep learning workloads on NVIDIA GPU platforms
- Implement efficient serving of LLMs, VLMs, and WFMs at datacenter scale
- Collaborate with research scientists and engineers for model integration
- Contribute to automation and tooling for NVIDIA Inference Microservices
Requirements For Senior DL Algorithms Engineer - Cosmos
- Master's or PhD in Computer Science, Electrical Engineering, Computer Engineering, or related field
- 3+ years of professional experience in deep learning or machine learning
- Strong foundation in deep learning algorithms and hands-on experience with LLMs
- Deep understanding of transformer architectures and attention mechanisms
- Proficient in PyTorch or TensorFlow
- Solid programming skills in Python and C++
- Experience with model quantization and optimization techniques
- Strong fundamentals in GPU performance analysis
- Familiarity with Triton Inference Server and PyTriton
Benefits For Senior DL Algorithms Engineer - Cosmos
- Equity
