LPAI ML SW Senior Engineer

Qualcomm · Hyderabad · 2+ yrs experience · Posted 2026-06-21

Tech stack: C, C++, Python

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About the role

Qualcomm India Private Limited
Engineering Group, Engineering Group > Systems Engineering
Responsibilities: - 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 AI Software Group to work in the area of Low Power ML Accelerator Software framework, developing embedded software for next generation low power NPU.
- You will be part of the Qualcomm AI Software team and develop low power AI accelerator runtime software for Qualcomm Snapdragon platforms.
- The candidate will be expected to work with a team of engineers to design, implement and integrate ML framework for Qualcomm's Low power ML accelerator.
- Design, implement, integrate, and test kernels for ML operators for HW accelerator.
- Create test framework for validating end-end ML Software and ML Model performance
- Work closely with other R&D and Systems team for ML model optimizations and system integration, use case testing and commercialization support
Qualifications: - Strong programming skills in C/C++, Python
- Expertise in developing and debugging software on embedded platforms
- Knowledge of ML operators such as Transformers, LSTM, GRUs..
- 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
- Knowledge of any ML frameworks pytorch, tensorflow, ONNX..
- Knowledge of Model quantization and compression techiques is a plus
- Working on ML inference optimizations is a plus
- Experience working on any AI HW accelerator (NPU) is a plus
- All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
- Proven ability to work in a dynamic, multi-tasked environment
- Self-starter who likes to be challenged and solve tough complex problems
- Excellent verbal and written communication and presentation skills.
- Quick learner, self-motivated, able to work independently and a Team player.
- Aspiration for excellence.
- Working in cross disciplinary, geographically-dispersed teams Educational Qualification:
- Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.

Qualifications

- Strong programming skills in C/C++, Python
- Expertise in developing and debugging software on embedded platforms
- Knowledge of ML operators such as Transformers, LSTM, GRUs..
- 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
- Knowledge of any ML frameworks pytorch, tensorflow, ONNX..
- Knowledge of Model quantization and compression techiques is a plus
- Working on ML inference optimizations is a plus
- Experience working on any AI HW accelerator (NPU) is a plus
- All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
- Proven ability to work in a dynamic, multi-tasked environment
- Self-starter who likes to be challenged and solve tough complex problems
- Excellent verbal and written communication and presentation skills.
- Quick learner, self-motivated, able to work independently and a Team player.
- Aspiration for excellence.
- Working in cross disciplinary, geographically-dispersed teams Educational Qualification:
- Bachelor's/Master’s/PhD degree in Engineering, Electronics and communication, Computer Science or related filed.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.

Responsibilities

- 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 AI Software Group to work in the area of Low Power ML Accelerator Software framework, developing embedded software for next generation low power NPU.
- You will be part of the Qualcomm AI Software team and develop low power AI accelerator runtime software for Qualcomm Snapdragon platforms.
- The candidate will be expected to work with a team of engineers to design, implement and integrate ML framework for Qualcomm's Low power ML accelerator.
- Design, implement, integrate, and test kernels for ML operators for HW accelerator.
- Create test framework for validating end-end ML Software and ML Model performance
- Work closely with other R&D and Systems team for ML model optimizations and system integration, use case testing and commercialization support

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