hirly

Nvidia

Senior System Software Engineer, Speech AI

India, Pune

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Nvidia first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.3M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

hirly's read of this role

Role family
Engineering
Seniority
Senior
Country
IN
Work mode
On-site / unstated
First seen by hirly
1 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Widely 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

Tackle challenging problems in real-time streaming audio processing and low-latency inference

Troubleshoot and resolve complex issues across ASR, TTS, ALM, and S2S pipelines

Model Integration: Work alongside Model researchers to transition ASR, TTS and S2S models from research to production readiness.

Develop Core Speech Services : Build and enhance C++ & python backend implementations for ASR, TTS, and S2S pipelines, leveraging CUDA for GPU acceleration

Optimize Inference Performance: Improve streaming latency and throughput through advanced batching strategies, encoder caching, and multi-threaded pipeline optimizations

Feature Development: Add new capabilities such as advanced voice activity detection, speaker diarization, decoder implementations (CTC, WFST, Flashlight), and text post-processing

Client Libraries: Contribute to Python and C++ client SDKs and CLI tools for easy service integration

Assist with API integration, SDK usage, model deployment, and performance optimization

Provide advanced technical guidance to customers implementing speech technology solutions

What we need to see:

Masters or BE/BTech in Computer Science, computer architecture, or related field

6+ years of experience

Excellent C++ & Python programming and software design skills, including debugging, performance analysis, and test design.

Experience with inference pipelines for LLM, Speech Recognition & Speech Synthesis

Solid understanding of modern model architectures (Transformers, CNNs, RNNs)

Excellent debugging abilities spanning multiple software (storage systems, kernels and containers)

Experience building and deploying cloud services using HTTP REST, gRPC, Websockets and related technologies

Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment

Ability to work independently, define project goals and scope and manage your own development effort.

Knowledge of real-time streaming audio systems and low-latency architectures

Experience with speech model fine-tuning or customization

Ways to stand out from the crowd:

Publications or contributions to ML optimization open-source projects.

Experience with embedded systems or edge deployment

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Original posting on Nvidia's site ↗

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job