Engineer, Senior -Audio

QUALCOMM, Inc.; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Qualcomm India Private Limited in Hyderabad seeks an engineer to implement and optimize speech enhancement models on embedded platforms such as HiFi, HEXAGON DSP and ARM. You will design and analyze advanced signal processing and NN-based algorithms for voice and audio applications, enabling products across mobile, XR/AR/VR, IoT, and wearables.

The role covers full lifecycle from concept to commercialization, with emphasis on optimizing NN workloads and DSP performance, collaborating with

Qualifications

• Experience deploying NN workloads on DSP architectures (HiFi/Hexagon/ARM)
• Experience with NN frameworks and runtimes (TFLite, ONNX Runtime, TFLM, QNN, QAIRT)
• Experience using NN-optimized libraries (HiFi NN, Nature DSP, XNNPACK, CMSIS-NN, Hexagon NN)
• Experience converting MATLAB algorithms to embedded C
• Knowledge of fixed-point programming
• Strong DSP and embedded concepts
• Proficiency in MATLAB or Python scripting
• Programming in C and C++
• Excellent problem-solving and teamwork skills

Responsibilities

• Develop and optimize audio signal processing algorithms (echo cancellation, noise suppression)
• Implement and optimize NN workloads on DSP/ARM with HW acceleration
• Collaborate with cross-functional teams to integrate audio solutions
• Support debugging, tuning, and performance issues for products
• Participate in full product development lifecycle from concept to commercialization

Skills

NN on DSP

NN frameworks

HiFi NN

Nature DSP

XNNPACK

CMSIS-NN

Hexagon NN

Embedded C

MATLAB scripting

C/C++

Teamwork

Python scripting

Education

Bachelor's degree in Engineering/CS/IT or related field

Master's degree in Engineering/CS/related field

PhD in Engineering/CS/related field

Tools

LiteRT/TFLite/ONNX Runtime/TFLM/QAIRT

HiFi NN extensions

Nature DSP

XNNPACK

CMSIS-NN

Hexagon NN

Job description

Company

Qualcomm India Private Limited

Job Area

Engineering Group > Systems Engineering

General Summary

Multimedia Audio Systems team is seeking a highly skilled and motivated Engineer to implement and commercialize state-of-the-art speech enhancement models on embedded platforms such as HIFI, HEXAGON DSP and ARM. The role focuses on designing, analyzing, and optimizing advanced signal processing and Neural Network based algorithms for voice and audio applications which include echo cancellation, noise suppression and target source separation. You will get an opportunity to work on cutting-edge product designs across various domains, including mobile, compute, XR/AR/VR, IoT, and wearable devices.

Key Responsibilities

• Develop and optimize advanced audio signal processing algorithms such as adaptive filtering algorithms for echo cancellation and Noise Suppression.
• Implementation and Optimization of NN workloads on the DSP and ARM with HW acceleration on ARM (Neon/SME) and NPU (Neural Processing Unit)
• Collaborate with Cross functional teams to integrate audio solutions into diverse product lines
• Support debugging, tuning, and troubleshooting algorithm performance issues for commercialized solutions.
• Participate in the full product development lifecycle, from concept to commercialization.

Minimum Qualifications

• Experience developing and optimizing neural network (NN) workloads on any digital signal processor (DSP) architectures such as HiFi, Hexagon, or ARM/MCU
• Experience working with neural network (NN) frameworks and runtimes such as LiteRT/TensorFlow Lite (TFLite), Open Neural Network Exchange Runtime (ONNX Runtime), TensorFlow Lite for Microcontrollers (TFLM), Qualcomm Neural Network (QNN), or Qualcomm AI Runtime (QAIRT).
• Experience using neural network (NN) optimized libraries and extensions such as HiFi NN extensions, Nature DSP, XNNPACK, CMSIS-NN, or Hexagon NN (HexNN).
• Experience converting MATLAB algorithms into platform code, such as embedded C.
• Knowledge of fixed-point programming.
• Strong understanding of speech enhancement techniques, including Echo Cancellation and Noise Suppression (ECNS) algorithms or audio denoising algorithms and models.
• Strong background in digital signal processing (DSP) and embedded concepts
• Strong scripting skills in MATLAB or Python.
• Proficiency in programming languages such as C and C++.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and teamwork skills.

Minimum Qualifications:

• 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.

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 [e-mail] 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.