Senior Deep Learning Algorithm Engineer

Requirements:

• 5+ years of experience.
• MSc or PhD in CS, EE or CSEE or equivalent experience.
• Strong background in deep learning and neural networks, both training & inference.
• Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.
• Proven experience analyzing, modeling and tuning application performance.
• Programming skills in C++ and Python.

Nice to Haves:

• Experience with modern LLM inference frameworks (TRT-LLM, vLLM, Ollama, etc.)
• Strong fundamentals in algorithms.
• Experience with production deployment of Deep Learning models.
• Proven experience with processor and system-level performance modeling.
• GPU programming experience (CUDA or OpenCL) is a strong plus but not required.

What you will be doing:

• Understand, analyze, profile, and optimize deep learning training and inference workloads on state-of-the-art hardware and software platforms.
• Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the performance of workloads.
• Implement production-quality software across NVIDIA's deep learning platform stack.
• Build tools to automate workload analysis, workload optimization, and other critical workflows.

Perks and Benefits:

• Work on impacting the hardware and software roadmap of a fast-growing technology company leading the AI revolution.
• Help deep learning users worldwide achieve higher training speeds.
• Collaborate with diverse teams at NVIDIA and work on data center deployments.
• Join one of the most desirable employers in the technology world known for its forward-thinking and hardworking employees.