Senior System Software Engineer, Speech AI
Nvidia · Pune, India
About this role
Nvidia is hiring a senior-level Systems Engineer in the operations function based in Pune, India. The posting calls out experience with Python, CUDA, API Development, Backend Development and roughly 5+ years of relevant work. Listed education preference: a master's degree or equivalent.
- Role
- Systems Engineer
- Function
- operations
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Pune, India
- Experience
- 5+ years
- Education
- Master's degree
- Posted
- Apr 20, 2026
More roles at Nvidia
Job description
from Nvidia careersWidely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, autonomous cars and conversational AI that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.
NVIDIA is looking for a Senior System Software Engineer with deep expertise in speech technologies to support enterprise and developer customers. This role involves hands-on technical engagement with customers to implement, troubleshoot, and optimize Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Audio Language Models (ALM), and Speech-to-Speech (S2S) systems in production environments. If you're creative & passionate about solving real world conversational AI problems, come join our Speech AI Engineering team.
What you’ll be doing:
Work on cutting-edge GPU-accelerated AI systems deployed at scale
This is an excerpt. Read the full job description on Nvidia careers →