Principal Engineer

at Nvidia
📍 World
📍 Canada
📍 United States
USD 272,000-431,200 per year
SENIOR
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 4 Algorithms @ 4 Data Structures @ 7 Distributed Systems @ 4 Machine Learning @ 4 TensorFlow @ 8 Communication @ 7 Mentoring @ 7 API @ 4 PyTorch @ 8 CUDA @ 4 GPU @ 3

Details

We are looking for a Principal Research Engineer focused on Generative AI inference. The team develops optimized inferencing technologies for generative AI models (language, images, speech) and contributes across the machine learning lifecycle: conceptualization, applied research, engineering for optimized inference, and deployment. You will interact with internal partners, users, and the open-source community to define, analyze, and implement highly optimized algorithms for speech recognition, natural language understanding, image generation, and speech synthesis.

Responsibilities

  • Develop new models and algorithms in Speech Recognition, Speech Synthesis, Natural Language Processing, and Deep Learning.
  • Architect and implement features in C++, CUDA, and Python.
  • Implement new algorithms, perform performance tuning and analysis, and define APIs and functionality coverage.
  • Work across NVIDIA engineering teams to ensure software integrates with the NVIDIA accelerated serving stack.
  • Demonstrate good engineering practices and mentor other team members.

Requirements

  • Strong understanding of modern techniques in Machine Learning, Deep Neural Networks, Natural Language Processing, or Speech Recognition.
  • 12+ years industry experience working with Deep Learning frameworks (PyTorch or TensorFlow).
  • Strong software engineering skills with excellent C++ and Python development experience and meaningful contributions to major open-source projects.
  • Experience or familiarity with CUDA and GPU programming for high-performance inference workloads.
  • Strong computer science fundamentals: algorithms and data structures, computational complexity, parallel and distributed computing, and system software.
  • Strong communication and interpersonal skills; history of mentoring junior engineers and interns is a plus.
  • Bachelor's degree or equivalent experience.
  • Desire to constantly grow and learn new things.

Ways to stand out

  • Experience architecting or developing large-scale distributed systems for deep learning.
  • Knowledge of CPU and/or GPU architecture.
  • Strong GPU programming (CUDA) experience.

Compensation & Logistics

  • Base salary range: 272,000 USD - 431,250 USD (final base salary determined by location, experience, and peer pay).
  • Eligible for equity and benefits.
  • Applications accepted at least until July 29, 2025.

Company & Culture

  • NVIDIA emphasizes diversity and is an equal opportunity employer. They value creative, autonomous engineers with a passion for technology.