Senior Deep Learning Algorithm Engineer

About Nvidia

NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Deep Learning training, one of today’s most essential workloads in the world.

Job Summary

This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution while helping deep learning users around the globe enjoy ever-higher training speeds.

Key Responsibilities

• 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.

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.

Preferred Qualifications

• 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 modelling.
• GPU programming experience (CUDA or OpenCL) is a strong plus but not required.

Benefits & Perks

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you’re creative and autonomous, we want to hear from you!