Senior Voice AI Systems Engineer

3 Days ago • 2 Years + • System Design

Job Summary

Job Description

Qualcomm is seeking a Senior Voice AI Systems Engineer to prototype and productize Voice AI Models like ASR, TTS, NLP, and Multilingual Translation. Responsibilities include developing, training, and optimizing AI models for efficient offload to NPU, GPU, and CPU, performing model evaluation, and collaborating with R&D teams for system integration and commercialization. This role is crucial for advancing Qualcomm's next-generation wireless and multimedia technology in the Voice AI domain.
Must have:
  • Work with a team of engineers to prototype and productize Voice AI Models such as ASR, TTS, NLP, Multilingual Translation, Summarization, Language modeling and other Speech/text generation tasks.
  • Develop, Train, and Optimize Voice AI models for efficient offload to NPU, GPU and CPU.
  • Perform Model evaluation study and Competitive analysis with Mutiple open source model variants, work on different model architectures.
  • Work closely with other R&D and Systems team for system integration, use case validation, efficient offload to HW accelerators and commercialization support.
  • Strong programming skills in C/C++, Python
  • Experience working on ML inference optimizations
  • Proficiency in designing, implementing and training DL models in any high-level languages/frameworks (e.g. PyTorch, TensorFlow, ONNX)
  • Knowledge of ML architectures and operators such as Transformers, LSTM, GRUs..
  • Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.) and traditional statistical modeling/feature extraction techniques.
  • Experience working on Speech-to-text, Text-to-Speech, Speech-to-Speech, NLP applications in academics or industry
  • Knowledge of Model quantization and compression techniques.
  • Expertise in developing and debugging software on embedded platforms
  • Knowledge of software design patterns and multi-threaded programming, Eg POSIX or PTHREADS
  • Knowledge of computer architecture, operating systems, data structures, and basic algorithms
  • Knowledge of fixed-point coding
  • Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed.
  • 2+ years of Audio Systems engineering or Audio Signal Processing modules or ML Model development or related work experience.
Good to have:
  • Experience working on any AI HW accelerator NPU or GPU is a plus
Perks:
  • Qualcomm offers a world-class health benefit option providing world-class coverage to employees and their eligible dependents.
  • Our programs are designed to help employees build and prepare for a financially secure future.
  • Our self and family resources help you build emotional/mental strength and resilience, as well as define your purpose — in life and at work.
  • Qualcomm’s wellbeing programs and resources offer support to help employees Live+Well and Work+Well, so they can unlock their full potential at home, at work, and everywhere between.

Job Details

Job Posting Date

2025-08-28

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Qualcomm is a company of inventors that unlocked AI on Edge - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. QUALCOMM is the world's leading developer of next generation wireless and multimedia technology. Immediate opportunities exist in QUALCOMM's Multimedia Audio Systems Group to work in the area of Voice AI.

Responsibilities:

  • The candidate will be expected to work with a team of engineers to prototype and productize Voice AI Models such as ASR, TTS, NLP, Multilingual Translation, Summarization, Language modeling and other Speech/text generation tasks.
  • Develop, Train, and Optimize Voice AI models for efficient offload to NPU, GPU and CPU.
  • Perform Model evaluation study and Competitive analysis with Mutiple open source model variants, work on different model architectures.
  • Work closely with other R&D and Systems team for system integration, use case validation, efficient offload to HW accelerators and commercialization support.

Requirements:

  • Strong programming skills in C/C++, Python
  • Experience working on ML inference optimizations
  • Proficiency in designing, implementing and training DL models in any high-level languages/frameworks (e.g. PyTorch, TensorFlow, ONNX)
  • Knowledge of ML architectures and operators such as Transformers, LSTM, GRUs..
  • Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.) and traditional statistical modeling/feature extraction techniques.
  • Experience working on Speech-to-text, Text-to-Speech, Speech-to-Speech, NLP applications in academics or industry
  • Knowledge of Model quantization and compression techniques.
  • Expertise in developing and debugging software on embedded platforms
  • Knowledge of software design patterns and multi-threaded programming, Eg POSIX or PTHREADS
  • Knowledge of computer architecture, operating systems, data structures, and basic algorithms
  • Knowledge of fixed-point coding
  • Experience working on any AI HW accelerator NPU or GPU is a plus

Educational Qualification:

Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed.

2+ years of Audio Systems engineering or Audio Signal Processing modules or ML Model development or related work experience.

Minimum Qualifications:

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

OR

  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

OR

  • PhD in Engineering, Information Systems, Computer Science, or related field.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

Job Application Privacy Notice

Job Application Privacy Notice

Use of AI in the Application Process

Use of AI in the Application Process

Equal Employment Opportunity

Equal Employment Opportunity

"EEO is the Law" Poster Supplement

Pay Transparency Non-Discrimination Provision

Employee Polygraph Protection Act

Family Medical Leave Act

Rights of Pregnant Employees

Discrimination and Harassment

California Family Rights Act

Qualcomm Right to Inspect

Similar Jobs

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

Similar Skill Jobs

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

Jobs in Hyderabad, Telangana, India

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

System Design Jobs

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

About The Company

Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

Austin, Texas, United States (On-Site)

Hsinchu City, Taiwan (On-Site)

Hyderabad, Telangana, India (On-Site)

Hyderabad, Telangana, India (On-Site)

San Diego, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

San Diego, California, United States (On-Site)

San Diego, California, United States (Remote)

Markham, Ontario, Canada (On-Site)

View All Jobs

Get notified when new jobs are added by Qualcomm

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug